diff --git a/crypto_monitor_binance/app.py b/crypto_monitor_binance/app.py
index 0275dbe..c7b58c9 100644
--- a/crypto_monitor_binance/app.py
+++ b/crypto_monitor_binance/app.py
@@ -37,12 +37,21 @@ if _REPO_ROOT not in sys.path:
from fib_key_monitor_lib import (
FIB_KEY_MONITOR_TYPES,
calc_fib_plan,
+ entry_reason_from_key_signal,
fib_invalidate_by_mark,
fib_ratio_from_type,
is_fib_key_monitor_type,
key_signal_type_for_trade_record,
stored_key_signal_type,
)
+from history_window_lib import (
+ PRESET_CUSTOM,
+ PRESET_UTC_LAST24H,
+ PRESET_UTC_LAST7D,
+ PRESET_UTC_TODAY,
+ resolve_window,
+ utc_window_to_bj_sql_strings,
+)
def load_env_file(path):
if not os.path.exists(path):
@@ -725,6 +734,41 @@ def _render_candles_subplot(rows, title, width, height, bg_rgb=(255, 255, 255),
return img
+def _timeframe_period_ms(tf):
+ s = (tf or "").strip().lower()
+ if s.endswith("m"):
+ try:
+ return int(s[:-1]) * 60 * 1000
+ except ValueError:
+ pass
+ if s.endswith("h"):
+ try:
+ return int(s[:-1]) * 3600 * 1000
+ except ValueError:
+ pass
+ if s.endswith("d"):
+ try:
+ return int(s[:-1]) * 86400 * 1000
+ except ValueError:
+ pass
+ return 300000
+
+
+def _fetch_ohlcv_ending_at(exchange_symbol, timeframe, limit, end_ts_ms):
+ """以 end_ts_ms 为终点向前取 K 线(无 end 则拉最近 limit 根)。"""
+ lim = max(2, int(limit or ORDER_CHART_LIMIT))
+ if not end_ts_ms:
+ return exchange.fetch_ohlcv(exchange_symbol, timeframe=timeframe, limit=lim)
+ period = _timeframe_period_ms(timeframe)
+ since = int(end_ts_ms) - period * (lim + 5)
+ ohlcv = exchange.fetch_ohlcv(exchange_symbol, timeframe=timeframe, since=max(0, since), limit=lim + 10)
+ rows = _ohlcv_to_rows(ohlcv)
+ filtered = [r for r in rows if int(r[0]) <= int(end_ts_ms)]
+ if len(filtered) >= lim:
+ return [[r[0], r[1], r[2], r[3], r[4]] for r in filtered[-lim:]]
+ return ohlcv[-lim:] if ohlcv else []
+
+
def generate_multi_timeframe_chart_png(
exchange_symbol,
title_prefix,
@@ -753,9 +797,15 @@ def generate_multi_timeframe_chart_png(
ensure_markets_loaded()
panels = []
cell_w, cell_h = 980, 520
+ end_ts_ms = None
+ if marker_payload:
+ try:
+ end_ts_ms = int(marker_payload.get("exit_ts_ms") or marker_payload.get("entry_ts_ms") or 0) or None
+ except (TypeError, ValueError):
+ end_ts_ms = None
for tf in timeframes:
try:
- ohlcv = exchange.fetch_ohlcv(exchange_symbol, timeframe=tf, limit=limit)
+ ohlcv = _fetch_ohlcv_ending_at(exchange_symbol, tf, limit, end_ts_ms)
except Exception:
ohlcv = []
rows = _ohlcv_to_rows(ohlcv)[-limit:]
@@ -847,6 +897,7 @@ def journal_coin_from_symbol(symbol):
EARLY_EXIT_TRIGGERS = (
"",
+ "止盈",
"保本止盈",
"移动止盈",
"手动平仓",
@@ -861,6 +912,19 @@ ENTRY_REASON_OPTIONS = (
"趋势多头:小分歧低吸入场(左侧),确认条件:二次探底",
"趋势空头:小分歧高吸入场(左侧),确认条件:二次探顶",
"波段单:5m顺势突破,确认条件:2根k线+成交量放大+4h同向+日成交量前20",
+ "关键位箱体突破",
+ "关键位收敛突破",
+ "关键位斐波0.618",
+ "关键位斐波0.786",
+)
+
+STATS_SEGMENT_DEFS = (
+ ("all", "全部已平仓", {"segment": "all"}),
+ ("manual", "人工·下单监控", {"segment": "manual"}),
+ ("key_box", "关键位箱体突破", {"segment": "key_box"}),
+ ("key_conv", "关键位收敛突破", {"segment": "key_conv"}),
+ ("key_fib618", "关键位斐波0.618", {"segment": "key_fib618"}),
+ ("key_fib786", "关键位斐波0.786", {"segment": "key_fib786"}),
)
# 复盘表单「其他」选项的 value(非入库值;自定义文本走 entry_reason_custom)
ENTRY_REASON_OTHER = "__OTHER__"
@@ -1395,17 +1459,64 @@ def _calendar_month_bounds(local_dt):
def _count_opens_between(conn, start_td, end_td):
+ return _count_opens_for_segment(conn, start_td, end_td, "all")
+
+
+def _list_window_from_request():
+ return resolve_window(request.args, default_preset=PRESET_UTC_TODAY)
+
+
+def _pnl_row_matches_segment(row, segment_key):
+ try:
+ mt = (row["monitor_type"] or "").strip()
+ kst = (row["key_signal_type"] or "").strip()
+ except Exception:
+ return False
+ if segment_key == "all":
+ return True
+ if segment_key == "manual":
+ return mt == ORDER_MONITOR_TYPE_MANUAL and not kst
+ if segment_key == "key_box":
+ return kst == "箱体突破"
+ if segment_key == "key_conv":
+ return kst == "收敛突破"
+ if segment_key == "key_fib618":
+ return kst == "斐波回调0.618"
+ if segment_key == "key_fib786":
+ return kst == "斐波回调0.786"
+ return False
+
+
+def _count_opens_for_segment(conn, start_td, end_td, segment_key):
+ if segment_key == "manual":
+ return conn.execute(
+ "SELECT COUNT(*) FROM order_monitors WHERE session_date >= ? AND session_date <= ? "
+ "AND (monitor_type IS NULL OR monitor_type=? OR TRIM(monitor_type)='') "
+ "AND (key_signal_type IS NULL OR TRIM(key_signal_type)='')",
+ (start_td, end_td, ORDER_MONITOR_TYPE_MANUAL),
+ ).fetchone()[0]
+ kst_map = {
+ "key_box": "箱体突破",
+ "key_conv": "收敛突破",
+ "key_fib618": "斐波回调0.618",
+ "key_fib786": "斐波回调0.786",
+ }
+ kst = kst_map.get(segment_key)
+ if kst:
+ return conn.execute(
+ "SELECT COUNT(*) FROM order_monitors WHERE session_date >= ? AND session_date <= ? AND key_signal_type=?",
+ (start_td, end_td, kst),
+ ).fetchone()[0]
return conn.execute(
"SELECT COUNT(*) FROM order_monitors WHERE session_date >= ? AND session_date <= ?",
(start_td, end_td),
).fetchone()[0]
-def _load_completed_live_pnls(conn):
- q = """SELECT pnl_amount, reviewed_pnl_amount, closed_at, reviewed_closed_at, created_at,
- result, reviewed_result
+def _load_completed_trade_pnls(conn):
+ q = """SELECT pnl_amount, reviewed_pnl_amount, closed_at, reviewed_closed_at, created_at, opened_at,
+ result, reviewed_result, monitor_type, key_signal_type
FROM trade_records
- WHERE monitor_type = '下单监控'
ORDER BY COALESCE(closed_at, created_at, opened_at) ASC, id ASC"""
rows = conn.execute(q).fetchall()
out = []
@@ -1419,7 +1530,7 @@ def _load_completed_live_pnls(conn):
p = 0.0
t = parse_dt_for_trading_day(r["reviewed_closed_at"]) or parse_dt_for_trading_day(r["closed_at"]) or parse_dt_for_trading_day(r["created_at"])
td = get_trading_day(t) if t else None
- out.append((p, t, td))
+ out.append((p, t, td, r))
return out
@@ -1488,34 +1599,35 @@ def _compute_period_metrics(trades):
def compute_stats_bundle(conn, trading_day, now_dt=None):
- """日 / 周 / 月 统计:平仓按平仓时间所在交易日计入。"""
+ """日 / 周 / 月 统计:平仓按北京时间交易日(默认 8:00 切日)计入。"""
now_dt = now_dt or app_now()
- pnls = _load_completed_live_pnls(conn)
+ pnls = _load_completed_trade_pnls(conn)
total_opens_all = conn.execute("SELECT COUNT(*) FROM order_monitors").fetchone()[0]
w_start, w_end = _session_week_bounds(trading_day)
m_start, m_end = _calendar_month_bounds(now_dt)
- def in_week(tr):
- _p, _t, td = tr
- return td and w_start <= td <= w_end
+ def slice_metrics(seg_key):
+ seg_rows = [tr for tr in pnls if _pnl_row_matches_segment(tr[3], seg_key)]
+ day_tr = [(p, t, td) for p, t, td, _r in seg_rows if td == trading_day]
+ week_tr = [(p, t, td) for p, t, td, _r in seg_rows if t and w_start <= td <= w_end]
+ month_tr = [(p, t, td) for p, t, td, _r in seg_rows if t and m_start <= td <= m_end]
+ dm = _compute_period_metrics(day_tr)
+ wm = _compute_period_metrics(week_tr)
+ mm = _compute_period_metrics(month_tr)
+ dm["opens_count"] = _count_opens_for_segment(conn, trading_day, trading_day, seg_key)
+ wm["opens_count"] = _count_opens_for_segment(conn, w_start, w_end, seg_key)
+ mm["opens_count"] = _count_opens_for_segment(conn, m_start, m_end, seg_key)
+ dm["range_label"] = f"北京时间交易日 {trading_day}({TRADING_DAY_RESET_HOUR}:00 切日)"
+ wm["range_label"] = f"{w_start} ~ {w_end}(北京日期,近7天)"
+ mm["range_label"] = f"{m_start} ~ {m_end}(北京自然月)"
+ return dm, wm, mm
- def in_month(tr):
- _p, _t, td = tr
- return td and m_start <= td <= m_end
+ segments = []
+ for seg_key, seg_title, _meta in STATS_SEGMENT_DEFS:
+ dm, wm, mm = slice_metrics(seg_key)
+ segments.append({"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm})
- day_trades = [tr for tr in pnls if tr[2] == trading_day]
- week_trades = [tr for tr in pnls if in_week(tr)]
- month_trades = [tr for tr in pnls if in_month(tr)]
-
- dm = _compute_period_metrics(day_trades)
- wm = _compute_period_metrics(week_trades)
- mm = _compute_period_metrics(month_trades)
- dm["opens_count"] = _count_opens_between(conn, trading_day, trading_day)
- wm["opens_count"] = _count_opens_between(conn, w_start, w_end)
- mm["opens_count"] = _count_opens_between(conn, m_start, m_end)
- dm["range_label"] = f"北京时间交易日 {trading_day}"
- wm["range_label"] = f"{w_start} ~ {w_end}(北京日期,近7天窗口)"
- mm["range_label"] = f"{m_start} ~ {m_end}(北京时间自然月)"
+ dm, wm, mm = slice_metrics("all")
return {
"trading_day": trading_day,
@@ -1523,6 +1635,8 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
"day": dm,
"week": wm,
"month": mm,
+ "segments": segments,
+ "stats_reset_hour": TRADING_DAY_RESET_HOUR,
}
@@ -1750,7 +1864,11 @@ def to_effective_trade_dict(row):
base_stop = item.get("initial_stop_loss") if item.get("initial_stop_loss") not in (None, "") else item.get("stop_loss")
item["effective_opened_at"] = get_effective_trade_field(row, "reviewed_opened_at", "opened_at", item.get("opened_at"))
item["effective_closed_at"] = get_effective_trade_field(row, "reviewed_closed_at", "closed_at", item.get("closed_at"))
- item["effective_stop_loss"] = get_effective_trade_field(row, "reviewed_stop_loss", "stop_loss", base_stop)
+ open_stop = item.get("initial_stop_loss")
+ if open_stop in (None, ""):
+ open_stop = base_stop
+ item["display_open_stop_loss"] = open_stop
+ item["effective_stop_loss"] = get_effective_trade_field(row, "reviewed_stop_loss", "stop_loss", open_stop)
item["effective_take_profit"] = get_effective_trade_field(row, "reviewed_take_profit", "take_profit", item.get("take_profit"))
item["effective_result"] = get_effective_trade_field(row, "reviewed_result", "result", item.get("result"))
item["effective_miss_reason"] = get_effective_trade_field(row, "reviewed_miss_reason", "miss_reason", item.get("miss_reason"))
@@ -2021,6 +2139,7 @@ def insert_trade_record(
closed_at_ms=None,
exchange_trade_id=None,
key_signal_type=None,
+ entry_reason=None,
):
hold_minutes = calc_hold_minutes(hold_seconds)
open_ts = opened_at or app_now_str()
@@ -2028,13 +2147,15 @@ def insert_trade_record(
open_ts_ms = _to_ms_with_fallback(opened_at_ms, open_ts)
close_ts_ms = _to_ms_with_fallback(closed_at_ms, close_ts)
kst = key_signal_type_for_trade_record(key_signal_type, KEY_MONITOR_AUTO_TYPES)
+ snap_sl = initial_stop_loss if initial_stop_loss not in (None, "") else stop_loss
+ er = (entry_reason or "").strip() or entry_reason_from_key_signal(kst) or ""
conn.execute(
- "INSERT INTO trade_records (symbol,monitor_type,key_signal_type,direction,trigger_price,stop_loss,initial_stop_loss,take_profit,margin_capital,leverage,pnl_amount,hold_seconds,trade_style,risk_amount,planned_rr,actual_rr,hold_minutes,opened_at,opened_at_ms,closed_at,closed_at_ms,result,miss_reason,exchange_trade_id) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
+ "INSERT INTO trade_records (symbol,monitor_type,key_signal_type,direction,trigger_price,stop_loss,initial_stop_loss,take_profit,margin_capital,leverage,pnl_amount,hold_seconds,trade_style,risk_amount,planned_rr,actual_rr,hold_minutes,opened_at,opened_at_ms,closed_at,closed_at_ms,result,miss_reason,exchange_trade_id,entry_reason) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
(
- symbol, monitor_type, kst, direction, trigger_price, stop_loss, initial_stop_loss, take_profit,
+ symbol, monitor_type, kst, direction, trigger_price, snap_sl, snap_sl, take_profit,
margin_capital, leverage, pnl_amount, hold_seconds,
trade_style, risk_amount, planned_rr, actual_rr, hold_minutes,
- open_ts, open_ts_ms, close_ts, close_ts_ms, result, miss_reason, exchange_trade_id
+ open_ts, open_ts_ms, close_ts, close_ts_ms, result, miss_reason, exchange_trade_id, er or None
)
)
@@ -5100,6 +5221,8 @@ def sync_trade_records_from_exchange(conn):
def render_main_page(page="trade"):
now = app_now()
trading_day = get_trading_day(now)
+ list_window = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(list_window["start_utc"], list_window["end_utc"], APP_TZ)
conn = get_db()
session_row = ensure_session(conn, trading_day)
local_current_capital = float(session_row["current_capital"])
@@ -5109,7 +5232,10 @@ def render_main_page(page="trade"):
current_capital = round(trading_capital, FUNDS_DECIMALS) if trading_capital is not None else round(local_current_capital, FUNDS_DECIMALS)
recommended_capital = get_recommended_capital(current_capital)
key_list = conn.execute("SELECT * FROM key_monitors").fetchall()
- key_history = conn.execute("SELECT * FROM key_monitor_history ORDER BY id DESC LIMIT 80").fetchall()
+ key_history = conn.execute(
+ "SELECT * FROM key_monitor_history WHERE closed_at >= ? AND closed_at <= ? ORDER BY id DESC LIMIT 500",
+ (start_bj, end_bj),
+ ).fetchall()
stats_bundle = compute_stats_bundle(conn, trading_day, now)
raw_order_list = conn.execute("SELECT * FROM order_monitors WHERE status='active'").fetchall()
order_list = []
@@ -5120,7 +5246,11 @@ def render_main_page(page="trade"):
sync_trade_records_from_exchange(conn)
except Exception:
pass
- raw_records = conn.execute("SELECT * FROM trade_records ORDER BY id DESC").fetchall()
+ raw_records = conn.execute(
+ "SELECT * FROM trade_records WHERE COALESCE(closed_at, created_at, opened_at) >= ? "
+ "AND COALESCE(closed_at, created_at, opened_at) <= ? ORDER BY id DESC LIMIT 1000",
+ (start_bj, end_bj),
+ ).fetchall()
records = [to_effective_trade_dict(r) for r in raw_records]
total = len(records)
miss_count = sum(1 for r in records if (r.get("effective_result") or "") == "错过")
@@ -5172,7 +5302,14 @@ def render_main_page(page="trade"):
can_trade=can_trade,
focus_key_id=(key_list[0]["id"] if key_list else None),
focus_order_id=(order_list[0]["id"] if order_list else None),
- data_export_version=2,
+ data_export_version=3,
+ list_window=list_window,
+ list_window_presets={
+ "utc_today": PRESET_UTC_TODAY,
+ "utc_last24h": PRESET_UTC_LAST24H,
+ "utc_last7d": PRESET_UTC_LAST7D,
+ "custom": PRESET_CUSTOM,
+ },
key_alert_max_times=KEY_ALERT_MAX_TIMES,
risk_percent=RISK_PERCENT,
breakeven_rr_trigger=BREAKEVEN_RR_TRIGGER,
@@ -6241,43 +6378,45 @@ def _md_response(filename, content):
@app.route("/export/trade_records")
@login_required
def export_trade_records():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
rows = conn.execute(
- "SELECT id,symbol,monitor_type,direction,trigger_price,stop_loss,take_profit,margin_capital,leverage,"
- "pnl_amount,hold_seconds,hold_minutes,opened_at,closed_at,result,miss_reason,"
- "entry_reason,reviewed_entry_reason,created_at FROM trade_records ORDER BY id ASC"
+ "SELECT id,symbol,monitor_type,key_signal_type,direction,trigger_price,stop_loss,initial_stop_loss,take_profit,"
+ "margin_capital,leverage,pnl_amount,hold_seconds,hold_minutes,planned_rr,actual_rr,risk_amount,"
+ "opened_at,closed_at,result,miss_reason,entry_reason,reviewed_entry_reason,"
+ "exchange_realized_pnl,exchange_opened_at,exchange_closed_at,created_at "
+ "FROM trade_records WHERE COALESCE(closed_at, created_at, opened_at) >= ? "
+ "AND COALESCE(closed_at, created_at, opened_at) <= ? ORDER BY id ASC",
+ (start_bj, end_bj),
).fetchall()
conn.close()
- head_base = [
- "id",
- "symbol",
- "monitor_type",
- "direction",
- "trigger_price",
- "stop_loss",
- "take_profit",
- "margin_capital",
- "leverage",
- "pnl_amount",
- "hold_seconds",
- "hold_minutes",
- "opened_at",
- "closed_at",
- "result",
- "miss_reason",
- "entry_reason",
- "reviewed_entry_reason",
- "created_at",
+ head = [
+ "id", "symbol", "monitor_type", "key_signal_type", "direction", "trigger_price",
+ "stop_loss_open_snapshot", "initial_stop_loss", "take_profit", "margin_capital", "leverage",
+ "pnl_amount", "hold_seconds", "hold_minutes", "planned_rr", "actual_rr", "risk_amount",
+ "opened_at", "closed_at", "result", "miss_reason", "entry_reason", "reviewed_entry_reason",
+ "exchange_realized_pnl", "exchange_opened_at", "exchange_closed_at", "created_at", "开仓类型",
]
- head = head_base + ["开仓类型"]
data = []
for r in rows:
er0 = (r["entry_reason"] or "").strip() if r["entry_reason"] else ""
er1 = (r["reviewed_entry_reason"] or "").strip() if r["reviewed_entry_reason"] else ""
- eff = er1 or er0
- data.append(tuple(r[h] for h in head_base) + (eff,))
+ kst = (r["key_signal_type"] or "").strip() if "key_signal_type" in r.keys() else ""
+ eff = er1 or er0 or entry_reason_from_key_signal(kst) or ""
+ snap = r["initial_stop_loss"] if r["initial_stop_loss"] not in (None, "") else r["stop_loss"]
+ data.append((
+ r["id"], r["symbol"], r["monitor_type"], kst, r["direction"], r["trigger_price"],
+ snap, r["initial_stop_loss"], r["take_profit"], r["margin_capital"], r["leverage"],
+ r["pnl_amount"], r["hold_seconds"], r["hold_minutes"], r["planned_rr"], r["actual_rr"], r["risk_amount"],
+ r["opened_at"], r["closed_at"], r["result"], r["miss_reason"], r["entry_reason"], r["reviewed_entry_reason"],
+ r["exchange_realized_pnl"] if "exchange_realized_pnl" in r.keys() else None,
+ r["exchange_opened_at"] if "exchange_opened_at" in r.keys() else None,
+ r["exchange_closed_at"] if "exchange_closed_at" in r.keys() else None,
+ r["created_at"], eff,
+ ))
day = app_now().strftime("%Y%m%d")
- return _csv_response(f"trade_records_v2_{day}.csv", data, head)
+ return _csv_response(f"trade_records_v3_{day}.csv", data, head)
@app.route("/export/journal_entries")
@@ -6349,10 +6488,13 @@ def export_key_monitors():
@app.route("/export/key_monitor_history")
@login_required
def export_key_monitor_history():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
rows = conn.execute(
"SELECT id,symbol,monitor_type,direction,upper,lower,notification_count,last_alert_message,close_reason,closed_at "
- "FROM key_monitor_history ORDER BY id ASC"
+ "FROM key_monitor_history WHERE closed_at >= ? AND closed_at <= ? ORDER BY id ASC",
+ (start_bj, end_bj),
).fetchall()
conn.close()
head = [
@@ -6567,9 +6709,10 @@ def add_journal():
symbol_guess = normalize_symbol_input(coin) or coin
exchange_symbol = normalize_exchange_symbol(symbol_guess)
title_prefix = f"{symbol_guess} journal {entry_id[:8]}"
+ close_ms = _local_input_datetime_to_ms(d.get("close_datetime"))
marker_payload = {
- "entry_ts_ms": _local_input_datetime_to_ms(d.get("open_datetime")),
- "exit_ts_ms": _local_input_datetime_to_ms(d.get("close_datetime")),
+ "exit_ts_ms": close_ms,
+ "entry_ts_ms": close_ms,
"entry_price": d.get("entry_price_hint"),
"exit_price": None,
}
@@ -6634,8 +6777,14 @@ def add_journal():
@app.route("/api/journals")
@login_required
def api_journals():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
- rows = conn.execute("SELECT * FROM journal_entries ORDER BY created_at DESC").fetchall()
+ rows = conn.execute(
+ "SELECT * FROM journal_entries WHERE COALESCE(close_datetime, created_at, open_datetime) >= ? "
+ "AND COALESCE(close_datetime, created_at, open_datetime) <= ? ORDER BY created_at DESC LIMIT 500",
+ (start_bj, end_bj),
+ ).fetchall()
conn.close()
result = []
for r in rows:
@@ -6683,8 +6832,13 @@ def delete_journal(jid):
@app.route("/api/reviews")
@login_required
def api_reviews():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
- rows = conn.execute("SELECT * FROM ai_reviews ORDER BY created_at DESC").fetchall()
+ rows = conn.execute(
+ "SELECT * FROM ai_reviews WHERE created_at >= ? AND created_at <= ? ORDER BY created_at DESC LIMIT 200",
+ (start_bj, end_bj),
+ ).fetchall()
conn.close()
return jsonify([row_to_dict(r) for r in rows])
diff --git a/crypto_monitor_binance/templates/index.html b/crypto_monitor_binance/templates/index.html
index 77f6ea0..eb5d626 100644
--- a/crypto_monitor_binance/templates/index.html
+++ b/crypto_monitor_binance/templates/index.html
@@ -110,6 +110,10 @@
.export-bar{display:flex;flex-wrap:wrap;gap:8px;align-items:center;margin-bottom:12px;font-size:.85rem}
.export-bar a{color:#8fc8ff;text-decoration:none;padding:6px 10px;border:1px solid #304164;border-radius:8px;background:#151a2a}
.export-bar a:hover{background:#1f2740}
+ .list-window-bar{display:flex;flex-wrap:wrap;gap:8px;align-items:center;margin-bottom:12px;padding:10px 12px;background:#151a2a;border:1px solid #304164;border-radius:10px;font-size:.82rem}
+ .list-window-bar label{color:#9aa;display:flex;align-items:center;gap:6px}
+ .stats-segment-block{margin-top:20px;padding-top:14px;border-top:1px solid #3a4468}
+ .stats-segment-block h2{font-size:1.05rem;color:#dbe4ff;margin-bottom:8px}
.key-history{margin-top:12px;padding-top:10px;border-top:1px solid #2a3150}
.key-history h3{font-size:.88rem;color:#b8c4ff;margin-bottom:6px}
.key-history .sub{font-size:.72rem;color:#8892b0;margin-bottom:6px}
@@ -204,6 +208,23 @@
{% with msg=get_flashed_messages() %}{% if msg %}
{{ msg[0] }}
{% endif %}{% endwith %}
+
+ 列表筛选(UTC ,默认当日):{{ list_window.label }}
+ 预设
+
+ UTC 当日
+ 近 24 小时
+ 近 7 天
+ 自定义
+
+
+
+ 起(UTC)
+ 止(UTC)
+
+ 应用
+ 统计页仍按北京时间 {{ stats_bundle.stats_reset_hour|default(reset_hour) }}:00 切日
+
数据导出(v{{ data_export_version }} CSV,UTF-8;交易记录含开仓类型列,复盘单独导出):
交易记录
@@ -504,7 +525,7 @@
- 品种 类型 方向 成交 止损 止盈 基数 杠杆 持仓分钟 开仓时间(北京) 平仓时间(北京) 盈亏U 结果 操作
+ 品种 类型 方向 成交 止损(开仓) 止盈 基数 杠杆 持仓分钟 开仓时间(北京) 平仓时间(北京) 盈亏U 结果 操作
{% for r in record %}
{% set pnl_val = (r.pnl_amount or 0)|float %}
@@ -512,7 +533,7 @@
{{ r.monitor_type }}{% if r.key_signal_type %} · {{ r.key_signal_type }}{% endif %}
{{ '做多' if r.direction == 'long' else '做空' }}
{{ price_fmt(r.symbol, r.trigger_price) }}
- {% set stop_show = r.effective_stop_loss or r.initial_stop_loss or r.stop_loss %}
+ {% set stop_show = r.display_open_stop_loss or r.initial_stop_loss or r.stop_loss %}
{% set tp_show = r.effective_take_profit or r.take_profit %}
{{ price_fmt(r.symbol, stop_show) }}
{{ price_fmt(r.symbol, tp_show) }}
@@ -537,9 +558,10 @@
onclick='fillJournalFromTrade({{ {
"symbol": r.symbol,
"monitor_type": r.monitor_type,
+ "key_signal_type": r.key_signal_type or "",
"direction": r.direction,
"trigger_price": r.trigger_price,
- "stop_loss": r.effective_stop_loss or r.initial_stop_loss or r.stop_loss,
+ "stop_loss": r.display_open_stop_loss or r.initial_stop_loss or r.stop_loss,
"take_profit": r.effective_take_profit or r.take_profit,
"opened_at": r.effective_opened_at,
"closed_at": r.effective_closed_at,
@@ -619,6 +641,7 @@
离场触发(必选)
+ 止盈
保本止盈
移动止盈
手动平仓
@@ -692,12 +715,17 @@
持仓占用导致错过(累计)
{{ occupied_miss_total }}
- 已平仓「下单监控」按平仓时间归入北京时间 下的交易日;胜率按盈笔数/(盈+亏)。历史总开仓(累计):
+ 统计分析按北京时间 {{ stats_bundle.stats_reset_hour }}:00 切日计入;下列为各品类已平仓。历史总开仓(累计):
{{ stats_bundle.total_opens_all }} 次
- {{ period_stats("日统计", stats_bundle.day) }}
- {{ period_stats("周统计", stats_bundle.week) }}
- {{ period_stats("月统计", stats_bundle.month) }}
+ {% for seg in stats_bundle.segments %}
+
+
{{ seg.title }}
+ {{ period_stats("日统计", seg.day) }}
+ {{ period_stats("周统计", seg.week) }}
+ {{ period_stats("月统计", seg.month) }}
+
+ {% endfor %}
{% endif %}
@@ -921,8 +949,50 @@ function deleteKeyHistory(id){
.catch(()=>{ window.location.href = `${window.location.pathname}?_ts=${Date.now()}`; });
}
+function listWindowQueryString(){
+ const presetEl = document.getElementById("win-preset-select");
+ const preset = (presetEl && presetEl.value) || new URLSearchParams(window.location.search).get("win_preset") || "utc_today";
+ const q = new URLSearchParams(window.location.search);
+ q.set("win_preset", preset);
+ if(preset === "custom"){
+ const fromEl = document.getElementById("win-from-utc");
+ const toEl = document.getElementById("win-to-utc");
+ if(fromEl && fromEl.value) q.set("from_utc", fromEl.value.replace("T", " ") + ":00");
+ else q.delete("from_utc");
+ if(toEl && toEl.value) q.set("to_utc", toEl.value.replace("T", " ") + ":00");
+ else q.delete("to_utc");
+ } else {
+ q.delete("from_utc");
+ q.delete("to_utc");
+ }
+ return q.toString();
+}
+
+function toggleListWindowCustom(){
+ const preset = document.getElementById("win-preset-select");
+ const box = document.getElementById("win-custom-range");
+ if(!preset || !box) return;
+ box.style.display = preset.value === "custom" ? "" : "none";
+}
+
+function applyListWindow(){
+ const qs = listWindowQueryString();
+ const path = window.location.pathname || "/trade";
+ window.location.href = qs ? (path + "?" + qs) : path;
+}
+
+function attachListWindowToExports(){
+ const qs = listWindowQueryString();
+ if(!qs) return;
+ document.querySelectorAll('.export-bar a[href^="/export/trade_records"], .export-bar a[href^="/export/key_monitor_history"]').forEach(a=>{
+ const base = a.getAttribute("href").split("?")[0];
+ a.setAttribute("href", base + "?" + qs);
+ });
+}
+
function loadJournals(){
- fetch("/api/journals").then(r=>r.json()).then(data=>{
+ const qs = listWindowQueryString();
+ fetch("/api/journals" + (qs ? "?" + qs : "")).then(r=>r.json()).then(data=>{
Object.keys(journalCache).forEach(k=>delete journalCache[k]);
let html="";
data.forEach(o=>{
@@ -944,7 +1014,8 @@ function loadJournals(){
}
function loadReviews(){
- fetch("/api/reviews").then(r=>r.json()).then(data=>{
+ const qs = listWindowQueryString();
+ fetch("/api/reviews" + (qs ? "?" + qs : "")).then(r=>r.json()).then(data=>{
Object.keys(reviewCache).forEach(k=>delete reviewCache[k]);
let html="";
data.forEach(r=>{
@@ -1016,7 +1087,13 @@ function setJournalField(name, value){
el.value = String(value);
}
-const EARLY_EXIT_TRIGGERS = new Set(["保本止盈","移动止盈","手动平仓","止损","其他"]);
+const EARLY_EXIT_TRIGGERS = new Set(["止盈","保本止盈","移动止盈","手动平仓","止损","其他"]);
+const KEY_ENTRY_REASON_BY_SIGNAL = {
+ "箱体突破": "关键位箱体突破",
+ "收敛突破": "关键位收敛突破",
+ "斐波回调0.618": "关键位斐波0.618",
+ "斐波回调0.786": "关键位斐波0.786"
+};
function splitLegacyEarlyExitReason(raw){
const s = String(raw || "").trim();
@@ -1106,11 +1183,17 @@ function fillJournalFromTrade(t){
if(dirHint){ dirHint.value = t.direction || "long"; }
setJournalField("early_exit_trigger", "");
setJournalField("early_exit_note", "");
- setJournalField("entry_reason", "");
+ const kst = String(t.key_signal_type || "").trim();
+ const erFromKey = KEY_ENTRY_REASON_BY_SIGNAL[kst] || "";
+ if(erFromKey && JOURNAL_ENTRY_REASON_OPTIONS.includes(erFromKey)){
+ setJournalField("entry_reason", erFromKey);
+ } else {
+ setJournalField("entry_reason", "");
+ }
setJournalField("entry_reason_custom", "");
syncJournalEntryReasonOtherUi();
const er = String(t.result || "").trim();
- const exitTrigMap = { 保本止盈: "保本止盈", 移动止盈: "移动止盈", 手动平仓: "手动平仓", 止损: "止损" };
+ const exitTrigMap = { 止盈: "止盈", 保本止盈: "保本止盈", 移动止盈: "移动止盈", 手动平仓: "手动平仓", 止损: "止损" };
if(exitTrigMap[er]) setJournalField("early_exit_trigger", exitTrigMap[er]);
const note = `来自交易记录自动填充:${t.symbol || "-"} ${t.direction || "-"} | 入场:${t.trigger_price || "-"} 止损:${t.stop_loss || "-"} 止盈:${t.take_profit || "-"} | 类型:${t.monitor_type || "-"}`;
setJournalField("note", note);
@@ -1201,6 +1284,8 @@ function toggleStatsCard(){
btn.innerText = collapsed ? "展开" : "折叠";
}
+attachListWindowToExports();
+toggleListWindowCustom();
if(document.getElementById("journal-list")) loadJournals();
if(document.getElementById("review-list")) loadReviews();
const reviewToggle = document.getElementById("review-mode-toggle");
diff --git a/crypto_monitor_binance/更新文档.md b/crypto_monitor_binance/更新文档.md
index 7408bda..f741b68 100644
--- a/crypto_monitor_binance/更新文档.md
+++ b/crypto_monitor_binance/更新文档.md
@@ -6,14 +6,14 @@
|------|------|------|------|
| 1 | 关键位监控 | `/key_monitor` | 关键位添加、实时门控、历史 |
| 2 | 实盘下单 | `/trade` | 人工开仓、划转、实时持仓(**默认首页** `/` → `/trade`) |
-| 3 | 交易记录与复盘 | `/records` | 未改动 |
-| 4 | 统计分析 | `/stats` | 未改动 |
+| 3 | 交易记录与复盘 | `/records` | 交易记录、复盘表单、AI 历史(受顶栏 UTC 时间窗筛选) |
+| 4 | 统计分析 | `/stats` | 按北京时间交易日切日 + 分品类统计块 |
## 关键位监控页
- 标题去掉「5m」;规则条从 `.env` 读取(周期、确认K、量能、自动开仓盈亏比、日成交量排名)。
- 左列:活跃关键位,**pos-card** 样式展示现价/距上沿/距下沿/门控。
-- 右列:关键位历史(失效/结案),与左列等高滚动。
+- 右列:关键位历史(失效/结案),与左列等高滚动;**受顶栏 UTC 列表时间窗筛选**(默认 UTC 当日)。
- 监控类型新增:**斐波回调0.618**、**斐波回调0.786**(与 Gate 主站同一套规则,计算逻辑见仓库根目录 `fib_key_monitor_lib.py`)。
### 斐波关键位监控(方案 A:交易所限价)
@@ -41,11 +41,52 @@
- 自动开仓写入 `order_monitors.key_signal_type`:`箱体突破` 或 `收敛突破`。
- 持仓与交易记录展示「来源 · 信号类型」。
+## 列表时间窗(UTC,全站顶栏)
+
+共用模块:仓库根目录 `history_window_lib.py`(Gate / Binance 主站一致)。
+
+| 项 | 说明 |
+|----|------|
+| 默认 | **UTC 当日**(`win_preset=utc_today`,从 UTC 0:00 至当前时刻) |
+| 可选 | 近 24 小时、近 7 天、自定义起止(UTC,`datetime-local`) |
+| 作用范围 | 关键位历史、交易记录列表、复盘记录 API、AI 历史 API、导出「交易记录」「关键位历史」 |
+| 与统计的关系 | **仅影响列表/导出**;**统计分析页仍按北京时间 `TRADING_DAY_RESET_HOUR`(默认 8:00)切交易日** |
+| 库内时间 | DB 存北京时间字符串;后端用 `utc_window_to_bj_sql_strings()` 换算后再 SQL 比较 |
+| 切换方式 | 顶栏「列表筛选(UTC)」→ 选预设 → **应用**(保留当前路由,如 `/records?win_preset=…`) |
+
+查询参数示例:
+
+- `?win_preset=utc_today`
+- `?win_preset=utc_last24h` / `utc_last7d`
+- `?win_preset=custom&from_utc=2026-05-18 00:00:00&to_utc=2026-05-19 12:00:00`
+
## 交易记录与复盘
- 支持从交易所收入流水等同步已实现盈亏;盈亏列标注 **所** / **估**。
- 记录页 **立即同步**(`POST /api/sync_exchange_pnl`)。
- 未人工复盘时优先展示交易所盈亏(已同步时)。
+- **列表默认只显示当前 UTC 时间窗内**的记录(见上节);导出 CSV 同步该时间窗。
+- 表头 **「止损(开仓)」**:展示开仓快照 `initial_stop_loss`(无则回退 `stop_loss`);核对/复盘仍可用有效止损字段。
+- 平仓写入 `trade_records` 时:`stop_loss` 与 `initial_stop_loss` 均写入**开仓时止损快照**;`key_signal_type` 保留箱体/收敛/斐波来源(`fib_key_monitor_lib.key_signal_type_for_trade_record`)。
+- **开仓类型**(`entry_reason`):机器单平仓入库时,若未手填,按 `key_signal_type` 自动映射(见下表);列表/导出「开仓类型」列 = 复盘核对值优先,否则入库值,否则按信号映射。
+
+| `key_signal_type` | 自动写入的 `entry_reason` |
+|-------------------|---------------------------|
+| 箱体突破 | 关键位箱体突破 |
+| 收敛突破 | 关键位收敛突破 |
+| 斐波回调0.618 | 关键位斐波0.618 |
+| 斐波回调0.786 | 关键位斐波0.786 |
+
+- 复盘表单 **开仓类型** 下拉新增上述四条固定文案(与趋势/波段类并列)。
+- 复盘 **离场触发** 新增 **「止盈」**;从交易记录「填入复盘」时,若结果为「止盈/保本止盈/移动止盈/止损/手动平仓」会自动选中对应触发项,并按 `key_signal_type` 预填开仓类型。
+- 勾选「保存时自动生成多周期 K 线图」时:以 **平仓时间** 为锚点,各周期向前约 `ORDER_CHART_LIMIT`(默认 100)根 K 线(`_fetch_ohlcv_ending_at`),不再固定拉「最近 100 根」。
+- `/api/journals`、`/api/reviews` 支持同一时间窗 query,与列表一致。
+
+### 导出(交易记录 v3)
+
+- 文件名:`trade_records_v3_YYYYMMDD.csv`
+- 相对 v2 增加:`key_signal_type`、`initial_stop_loss`(及开仓快照列)、`planned_rr`、`actual_rr`、`risk_amount`、交易所盈亏与时间字段等;末列「开仓类型」为有效展示文案。
+- 「关键位历史」导出同样受 UTC 时间窗限制。
## 实盘下单页
@@ -53,6 +94,16 @@
- 右列:实时持仓(独立模块)。
- **人工开仓门控**:计划盈亏比 < `MANUAL_MIN_PLANNED_RR`(默认 **1.4**)时前端弹窗 + 后端拒绝。
+## 统计分析页(`/stats`)
+
+| 项 | 说明 |
+|----|------|
+| 切日 | **北京时间**;交易日边界 = 每日 `TRADING_DAY_RESET_HOUR:00`(`.env` 默认 **8**) |
+| 分块 | 页内按品类各一块:**全部已平仓**、**人工·下单监控**、**关键位箱体突破**、**关键位收敛突破**、**关键位斐波0.618**、**关键位斐波0.786** |
+| 每块指标 | 日 / 周 / 月:开单次数、平仓笔数、胜率、净盈亏、回撤、连续亏损等(与原口径一致) |
+| 开单次数 | 人工块:`monitor_type=下单监控` 且无 `key_signal_type`;关键位块:按 `order_monitors.key_signal_type` 计数 |
+| 不受 UTC 窗影响 | 统计始终基于库内全部已平仓记录,按北京交易日归类,**不**随顶栏 UTC 列表窗切换 |
+
## 持仓与计仓
- `MAX_ACTIVE_POSITIONS` 默认 **1**(可在 `.env` 调大)。
@@ -72,12 +123,24 @@
`key_monitors` 斐波字段:`fib_limit_order_id`、`fib_entry_price`、`fib_stop_loss`、`fib_take_profit`、`fib_order_amount`、`fib_margin_capital`、`fib_leverage`。
-`trade_records` / `order_monitors`:`key_signal_type`、`exchange_realized_pnl`、`exchange_opened_at`、`exchange_closed_at`、`exchange_sync_key`。
+`trade_records` / `order_monitors`:`key_signal_type`、`exchange_realized_pnl`、`exchange_opened_at`、`exchange_closed_at`、`exchange_sync_key`、`entry_reason`、`reviewed_entry_reason`、`initial_stop_loss`。
+
+**历史数据**:本次**不做**旧记录的批量回填(`entry_reason` / `initial_stop_loss` / `key_signal_type` 等);仅**新产生**的平仓与复盘按新逻辑写入。旧行展示可回退已有字段。
+
+## 涉及文件(便于排查)
+
+| 路径 | 说明 |
+|------|------|
+| `history_window_lib.py` | UTC 时间窗解析与转北京时间 SQL 字符串 |
+| `fib_key_monitor_lib.py` | 斐波计算、`KEY_ENTRY_REASON_BY_SIGNAL`、`entry_reason_from_key_signal` |
+| `crypto_monitor_binance/app.py` | 列表筛选、统计分块、导出 v3、复盘 K 线锚点、入库逻辑 |
+| `crypto_monitor_binance/templates/index.html` | 顶栏时间窗、统计分块 UI、止损(开仓)列、复盘预填 |
## 升级步骤
1. `git pull` 后对比 `.env.example`,把新增变量合并进本地 `.env`。
2. 在 VPS 上为 Binance / Gate / Gate Bot **各执行一次** `bash scripts/install_backup_cron.sh`(若尚未安装)。
-3. 重启 Binance 实例(如 `pm2 restart crypto_binance`);SQLite 会自动 `ALTER` 新列。
+3. 重启 Binance 实例(如 `pm2 restart crypto_binance`);SQLite 会自动 `ALTER` 缺列(斐波、交易所盈亏、`entry_reason` 等)。
4. 浏览器强刷(Ctrl+F5)避免旧版 `index.html` 缓存。
-5. 建议先用测试币验证斐波:限价挂出、标记价失效撤单、成交后 TP/SL 与订单监控是否正常。
+5. 打开任意页确认顶栏出现 **「列表筛选(UTC)」**;`/stats` 可见分品类统计与「北京 8:00 切日」说明。
+6. 建议先用测试币验证斐波:限价挂出、标记价失效撤单、成交后 TP/SL 与订单监控是否正常;平仓后检查交易记录止损(开仓)与开仓类型。
diff --git a/crypto_monitor_gate/app.py b/crypto_monitor_gate/app.py
index 54f7c81..209d06b 100644
--- a/crypto_monitor_gate/app.py
+++ b/crypto_monitor_gate/app.py
@@ -36,13 +36,23 @@ if _REPO_ROOT not in sys.path:
sys.path.insert(0, _REPO_ROOT)
from fib_key_monitor_lib import (
FIB_KEY_MONITOR_TYPES,
+ KEY_ENTRY_REASON_BY_SIGNAL,
calc_fib_plan,
+ entry_reason_from_key_signal,
fib_invalidate_by_mark,
fib_ratio_from_type,
is_fib_key_monitor_type,
key_signal_type_for_trade_record,
stored_key_signal_type,
)
+from history_window_lib import (
+ PRESET_CUSTOM,
+ PRESET_UTC_LAST24H,
+ PRESET_UTC_LAST7D,
+ PRESET_UTC_TODAY,
+ resolve_window,
+ utc_window_to_bj_sql_strings,
+)
def load_env_file(path):
@@ -723,6 +733,41 @@ def _render_candles_subplot(rows, title, width, height, bg_rgb=(255, 255, 255),
return img
+def _timeframe_period_ms(tf):
+ s = (tf or "").strip().lower()
+ if s.endswith("m"):
+ try:
+ return int(s[:-1]) * 60 * 1000
+ except ValueError:
+ pass
+ if s.endswith("h"):
+ try:
+ return int(s[:-1]) * 3600 * 1000
+ except ValueError:
+ pass
+ if s.endswith("d"):
+ try:
+ return int(s[:-1]) * 86400 * 1000
+ except ValueError:
+ pass
+ return 300000
+
+
+def _fetch_ohlcv_ending_at(exchange_symbol, timeframe, limit, end_ts_ms):
+ """以 end_ts_ms 为终点向前取 K 线(无 end 则拉最近 limit 根)。"""
+ lim = max(2, int(limit or ORDER_CHART_LIMIT))
+ if not end_ts_ms:
+ return exchange.fetch_ohlcv(exchange_symbol, timeframe=timeframe, limit=lim)
+ period = _timeframe_period_ms(timeframe)
+ since = int(end_ts_ms) - period * (lim + 5)
+ ohlcv = exchange.fetch_ohlcv(exchange_symbol, timeframe=timeframe, since=max(0, since), limit=lim + 10)
+ rows = _ohlcv_to_rows(ohlcv)
+ filtered = [r for r in rows if int(r[0]) <= int(end_ts_ms)]
+ if len(filtered) >= lim:
+ return [[r[0], r[1], r[2], r[3], r[4]] for r in filtered[-lim:]]
+ return ohlcv[-lim:] if ohlcv else []
+
+
def generate_multi_timeframe_chart_png(
exchange_symbol,
title_prefix,
@@ -751,9 +796,15 @@ def generate_multi_timeframe_chart_png(
ensure_markets_loaded()
panels = []
cell_w, cell_h = 980, 520
+ end_ts_ms = None
+ if marker_payload:
+ try:
+ end_ts_ms = int(marker_payload.get("exit_ts_ms") or marker_payload.get("entry_ts_ms") or 0) or None
+ except (TypeError, ValueError):
+ end_ts_ms = None
for tf in timeframes:
try:
- ohlcv = exchange.fetch_ohlcv(exchange_symbol, timeframe=tf, limit=limit)
+ ohlcv = _fetch_ohlcv_ending_at(exchange_symbol, tf, limit, end_ts_ms)
except Exception:
ohlcv = []
rows = _ohlcv_to_rows(ohlcv)[-limit:]
@@ -845,6 +896,7 @@ def journal_coin_from_symbol(symbol):
EARLY_EXIT_TRIGGERS = (
"",
+ "止盈",
"保本止盈",
"移动止盈",
"手动平仓",
@@ -852,13 +904,26 @@ EARLY_EXIT_TRIGGERS = (
"其他",
)
-# 与用户约定的固定开仓类型(仅做这几类单子)
+# 与用户约定的固定开仓类型
ENTRY_REASON_OPTIONS = (
"趋势多头:4h大结构突破前进场,确认条件:三次探顶,5m收敛不创新低",
"趋势空头:4h大结构突破前进场,确认条件:三次探底,5m收敛不创新高",
"趋势多头:小分歧低吸入场(左侧),确认条件:二次探底",
"趋势空头:小分歧高吸入场(左侧),确认条件:二次探顶",
"波段单:5m顺势突破,确认条件:2根k线+成交量放大+4h同向+日成交量前20",
+ "关键位箱体突破",
+ "关键位收敛突破",
+ "关键位斐波0.618",
+ "关键位斐波0.786",
+)
+
+STATS_SEGMENT_DEFS = (
+ ("all", "全部已平仓", {"segment": "all"}),
+ ("manual", "人工·下单监控", {"segment": "manual"}),
+ ("key_box", "关键位箱体突破", {"segment": "key_box"}),
+ ("key_conv", "关键位收敛突破", {"segment": "key_conv"}),
+ ("key_fib618", "关键位斐波0.618", {"segment": "key_fib618"}),
+ ("key_fib786", "关键位斐波0.786", {"segment": "key_fib786"}),
)
# 复盘表单「其他」选项的 value(非入库值;自定义文本走 entry_reason_custom)
ENTRY_REASON_OTHER = "__OTHER__"
@@ -1403,11 +1468,61 @@ def _count_opens_between(conn, start_td, end_td):
).fetchone()[0]
-def _load_completed_live_pnls(conn):
- q = """SELECT pnl_amount, reviewed_pnl_amount, closed_at, reviewed_closed_at, created_at,
- result, reviewed_result
+def _list_window_from_request():
+ return resolve_window(request.args, default_preset=PRESET_UTC_TODAY)
+
+
+def _pnl_row_matches_segment(row, segment_key):
+ try:
+ mt = (row["monitor_type"] or "").strip()
+ kst = (row["key_signal_type"] or "").strip()
+ except Exception:
+ return False
+ if segment_key == "all":
+ return True
+ if segment_key == "manual":
+ return mt == ORDER_MONITOR_TYPE_MANUAL and not kst
+ if segment_key == "key_box":
+ return kst == "箱体突破"
+ if segment_key == "key_conv":
+ return kst == "收敛突破"
+ if segment_key == "key_fib618":
+ return kst == "斐波回调0.618"
+ if segment_key == "key_fib786":
+ return kst == "斐波回调0.786"
+ return False
+
+
+def _count_opens_for_segment(conn, start_td, end_td, segment_key):
+ if segment_key == "manual":
+ return conn.execute(
+ "SELECT COUNT(*) FROM order_monitors WHERE session_date >= ? AND session_date <= ? "
+ "AND (monitor_type IS NULL OR monitor_type=? OR TRIM(monitor_type)='') "
+ "AND (key_signal_type IS NULL OR TRIM(key_signal_type)='')",
+ (start_td, end_td, ORDER_MONITOR_TYPE_MANUAL),
+ ).fetchone()[0]
+ kst_map = {
+ "key_box": "箱体突破",
+ "key_conv": "收敛突破",
+ "key_fib618": "斐波回调0.618",
+ "key_fib786": "斐波回调0.786",
+ }
+ kst = kst_map.get(segment_key)
+ if kst:
+ return conn.execute(
+ "SELECT COUNT(*) FROM order_monitors WHERE session_date >= ? AND session_date <= ? AND key_signal_type=?",
+ (start_td, end_td, kst),
+ ).fetchone()[0]
+ return conn.execute(
+ "SELECT COUNT(*) FROM order_monitors WHERE session_date >= ? AND session_date <= ?",
+ (start_td, end_td),
+ ).fetchone()[0]
+
+
+def _load_completed_trade_pnls(conn):
+ q = """SELECT pnl_amount, reviewed_pnl_amount, closed_at, reviewed_closed_at, created_at, opened_at,
+ result, reviewed_result, monitor_type, key_signal_type
FROM trade_records
- WHERE monitor_type = '下单监控'
ORDER BY COALESCE(closed_at, created_at, opened_at) ASC, id ASC"""
rows = conn.execute(q).fetchall()
out = []
@@ -1421,7 +1536,7 @@ def _load_completed_live_pnls(conn):
p = 0.0
t = parse_dt_for_trading_day(r["reviewed_closed_at"]) or parse_dt_for_trading_day(r["closed_at"]) or parse_dt_for_trading_day(r["created_at"])
td = get_trading_day(t) if t else None
- out.append((p, t, td))
+ out.append((p, t, td, r))
return out
@@ -1490,34 +1605,41 @@ def _compute_period_metrics(trades):
def compute_stats_bundle(conn, trading_day, now_dt=None):
- """日 / 周 / 月 统计:平仓按平仓时间所在交易日计入。"""
+ """日 / 周 / 月 统计:平仓按北京时间交易日(默认 8:00 切日)计入。"""
now_dt = now_dt or app_now()
- pnls = _load_completed_live_pnls(conn)
+ pnls = _load_completed_trade_pnls(conn)
total_opens_all = conn.execute("SELECT COUNT(*) FROM order_monitors").fetchone()[0]
w_start, w_end = _session_week_bounds(trading_day)
m_start, m_end = _calendar_month_bounds(now_dt)
def in_week(tr):
- _p, _t, td = tr
- return td and w_start <= td <= w_end
+ return tr[2] and w_start <= tr[2] <= w_end
def in_month(tr):
- _p, _t, td = tr
- return td and m_start <= td <= m_end
+ return tr[2] and m_start <= tr[2] <= m_end
- day_trades = [tr for tr in pnls if tr[2] == trading_day]
- week_trades = [tr for tr in pnls if in_week(tr)]
- month_trades = [tr for tr in pnls if in_month(tr)]
+ def slice_metrics(seg_key):
+ seg_rows = [tr for tr in pnls if _pnl_row_matches_segment(tr[3], seg_key)]
+ day_tr = [(p, t, td) for p, t, td, _r in seg_rows if td == trading_day]
+ week_tr = [(p, t, td) for p, t, td, _r in seg_rows if t and w_start <= td <= w_end]
+ month_tr = [(p, t, td) for p, t, td, _r in seg_rows if t and m_start <= td <= m_end]
+ dm = _compute_period_metrics(day_tr)
+ wm = _compute_period_metrics(week_tr)
+ mm = _compute_period_metrics(month_tr)
+ dm["opens_count"] = _count_opens_for_segment(conn, trading_day, trading_day, seg_key)
+ wm["opens_count"] = _count_opens_for_segment(conn, w_start, w_end, seg_key)
+ mm["opens_count"] = _count_opens_for_segment(conn, m_start, m_end, seg_key)
+ dm["range_label"] = f"北京时间交易日 {trading_day}({TRADING_DAY_RESET_HOUR}:00 切日)"
+ wm["range_label"] = f"{w_start} ~ {w_end}(北京日期,近7天)"
+ mm["range_label"] = f"{m_start} ~ {m_end}(北京自然月)"
+ return dm, wm, mm
- dm = _compute_period_metrics(day_trades)
- wm = _compute_period_metrics(week_trades)
- mm = _compute_period_metrics(month_trades)
- dm["opens_count"] = _count_opens_between(conn, trading_day, trading_day)
- wm["opens_count"] = _count_opens_between(conn, w_start, w_end)
- mm["opens_count"] = _count_opens_between(conn, m_start, m_end)
- dm["range_label"] = f"北京时间交易日 {trading_day}"
- wm["range_label"] = f"{w_start} ~ {w_end}(北京日期,近7天窗口)"
- mm["range_label"] = f"{m_start} ~ {m_end}(北京时间自然月)"
+ segments = []
+ for seg_key, seg_title, _meta in STATS_SEGMENT_DEFS:
+ dm, wm, mm = slice_metrics(seg_key)
+ segments.append({"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm})
+
+ dm, wm, mm = slice_metrics("all")
return {
"trading_day": trading_day,
@@ -1525,6 +1647,8 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
"day": dm,
"week": wm,
"month": mm,
+ "segments": segments,
+ "stats_reset_hour": TRADING_DAY_RESET_HOUR,
}
@@ -1709,7 +1833,11 @@ def to_effective_trade_dict(row):
base_stop = item.get("initial_stop_loss") if item.get("initial_stop_loss") not in (None, "") else item.get("stop_loss")
item["effective_opened_at"] = get_effective_trade_field(row, "reviewed_opened_at", "opened_at", item.get("opened_at"))
item["effective_closed_at"] = get_effective_trade_field(row, "reviewed_closed_at", "closed_at", item.get("closed_at"))
- item["effective_stop_loss"] = get_effective_trade_field(row, "reviewed_stop_loss", "stop_loss", base_stop)
+ open_stop = item.get("initial_stop_loss")
+ if open_stop in (None, ""):
+ open_stop = base_stop
+ item["display_open_stop_loss"] = open_stop
+ item["effective_stop_loss"] = get_effective_trade_field(row, "reviewed_stop_loss", "stop_loss", open_stop)
item["effective_take_profit"] = get_effective_trade_field(row, "reviewed_take_profit", "take_profit", item.get("take_profit"))
item["effective_result"] = get_effective_trade_field(row, "reviewed_result", "result", item.get("result"))
item["effective_miss_reason"] = get_effective_trade_field(row, "reviewed_miss_reason", "miss_reason", item.get("miss_reason"))
@@ -1999,6 +2127,7 @@ def insert_trade_record(
closed_at_ms=None,
exchange_trade_id=None,
key_signal_type=None,
+ entry_reason=None,
):
hold_minutes = calc_hold_minutes(hold_seconds)
open_ts = opened_at or app_now_str()
@@ -2006,13 +2135,15 @@ def insert_trade_record(
open_ts_ms = _to_ms_with_fallback(opened_at_ms, open_ts)
close_ts_ms = _to_ms_with_fallback(closed_at_ms, close_ts)
kst = key_signal_type_for_trade_record(key_signal_type, KEY_MONITOR_AUTO_TYPES)
+ snap_sl = initial_stop_loss if initial_stop_loss not in (None, "") else stop_loss
+ er = (entry_reason or "").strip() or entry_reason_from_key_signal(kst) or ""
conn.execute(
- "INSERT INTO trade_records (symbol,monitor_type,key_signal_type,direction,trigger_price,stop_loss,initial_stop_loss,take_profit,margin_capital,leverage,pnl_amount,hold_seconds,trade_style,risk_amount,planned_rr,actual_rr,hold_minutes,opened_at,opened_at_ms,closed_at,closed_at_ms,result,miss_reason,exchange_trade_id) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
+ "INSERT INTO trade_records (symbol,monitor_type,key_signal_type,direction,trigger_price,stop_loss,initial_stop_loss,take_profit,margin_capital,leverage,pnl_amount,hold_seconds,trade_style,risk_amount,planned_rr,actual_rr,hold_minutes,opened_at,opened_at_ms,closed_at,closed_at_ms,result,miss_reason,exchange_trade_id,entry_reason) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
(
- symbol, monitor_type, kst, direction, trigger_price, stop_loss, initial_stop_loss, take_profit,
+ symbol, monitor_type, kst, direction, trigger_price, snap_sl, snap_sl, take_profit,
margin_capital, leverage, pnl_amount, hold_seconds,
trade_style, risk_amount, planned_rr, actual_rr, hold_minutes,
- open_ts, open_ts_ms, close_ts, close_ts_ms, result, miss_reason, exchange_trade_id
+ open_ts, open_ts_ms, close_ts, close_ts_ms, result, miss_reason, exchange_trade_id, er or None
)
)
@@ -5313,6 +5444,8 @@ def sync_trade_records_from_exchange(conn, force=False):
def render_main_page(page="trade"):
now = app_now()
trading_day = get_trading_day(now)
+ list_window = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(list_window["start_utc"], list_window["end_utc"], APP_TZ)
conn = get_db()
session_row = ensure_session(conn, trading_day)
local_current_capital = float(session_row["current_capital"])
@@ -5322,7 +5455,10 @@ def render_main_page(page="trade"):
current_capital = round(trading_capital, 2) if trading_capital is not None else round(local_current_capital, 2)
recommended_capital = round(float(get_recommended_capital(current_capital)), 2)
key_list = conn.execute("SELECT * FROM key_monitors").fetchall()
- key_history = conn.execute("SELECT * FROM key_monitor_history ORDER BY id DESC LIMIT 80").fetchall()
+ key_history = conn.execute(
+ "SELECT * FROM key_monitor_history WHERE closed_at >= ? AND closed_at <= ? ORDER BY id DESC LIMIT 500",
+ (start_bj, end_bj),
+ ).fetchall()
stats_bundle = compute_stats_bundle(conn, trading_day, now)
raw_order_list = conn.execute("SELECT * FROM order_monitors WHERE status='active'").fetchall()
order_list = []
@@ -5334,7 +5470,11 @@ def render_main_page(page="trade"):
exchange_pnl_sync = sync_trade_records_from_exchange(conn) or {}
except Exception as e:
exchange_pnl_sync = {"ok": False, "reason": str(e)}
- raw_records = conn.execute("SELECT * FROM trade_records ORDER BY id DESC").fetchall()
+ raw_records = conn.execute(
+ "SELECT * FROM trade_records WHERE COALESCE(closed_at, created_at, opened_at) >= ? "
+ "AND COALESCE(closed_at, created_at, opened_at) <= ? ORDER BY id DESC LIMIT 1000",
+ (start_bj, end_bj),
+ ).fetchall()
records = [to_effective_trade_dict(r) for r in raw_records]
total = len(records)
miss_count = sum(1 for r in records if (r.get("effective_result") or "") == "错过")
@@ -5386,7 +5526,14 @@ def render_main_page(page="trade"):
can_trade=can_trade,
focus_key_id=(key_list[0]["id"] if key_list else None),
focus_order_id=(order_list[0]["id"] if order_list else None),
- data_export_version=2,
+ data_export_version=3,
+ list_window=list_window,
+ list_window_presets={
+ "utc_today": PRESET_UTC_TODAY,
+ "utc_last24h": PRESET_UTC_LAST24H,
+ "utc_last7d": PRESET_UTC_LAST7D,
+ "custom": PRESET_CUSTOM,
+ },
key_alert_max_times=KEY_ALERT_MAX_TIMES,
risk_percent=RISK_PERCENT,
breakeven_rr_trigger=BREAKEVEN_RR_TRIGGER,
@@ -6521,43 +6668,45 @@ def _md_response(filename, content):
@app.route("/export/trade_records")
@login_required
def export_trade_records():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
rows = conn.execute(
- "SELECT id,symbol,monitor_type,direction,trigger_price,stop_loss,take_profit,margin_capital,leverage,"
- "pnl_amount,hold_seconds,hold_minutes,opened_at,closed_at,result,miss_reason,"
- "entry_reason,reviewed_entry_reason,created_at FROM trade_records ORDER BY id ASC"
+ "SELECT id,symbol,monitor_type,key_signal_type,direction,trigger_price,stop_loss,initial_stop_loss,take_profit,"
+ "margin_capital,leverage,pnl_amount,hold_seconds,hold_minutes,planned_rr,actual_rr,risk_amount,"
+ "opened_at,closed_at,result,miss_reason,entry_reason,reviewed_entry_reason,"
+ "exchange_realized_pnl,exchange_opened_at,exchange_closed_at,created_at "
+ "FROM trade_records WHERE COALESCE(closed_at, created_at, opened_at) >= ? "
+ "AND COALESCE(closed_at, created_at, opened_at) <= ? ORDER BY id ASC",
+ (start_bj, end_bj),
).fetchall()
conn.close()
- head_base = [
- "id",
- "symbol",
- "monitor_type",
- "direction",
- "trigger_price",
- "stop_loss",
- "take_profit",
- "margin_capital",
- "leverage",
- "pnl_amount",
- "hold_seconds",
- "hold_minutes",
- "opened_at",
- "closed_at",
- "result",
- "miss_reason",
- "entry_reason",
- "reviewed_entry_reason",
- "created_at",
+ head = [
+ "id", "symbol", "monitor_type", "key_signal_type", "direction", "trigger_price",
+ "stop_loss_open_snapshot", "initial_stop_loss", "take_profit", "margin_capital", "leverage",
+ "pnl_amount", "hold_seconds", "hold_minutes", "planned_rr", "actual_rr", "risk_amount",
+ "opened_at", "closed_at", "result", "miss_reason", "entry_reason", "reviewed_entry_reason",
+ "exchange_realized_pnl", "exchange_opened_at", "exchange_closed_at", "created_at", "开仓类型",
]
- head = head_base + ["开仓类型"]
data = []
for r in rows:
er0 = (r["entry_reason"] or "").strip() if r["entry_reason"] else ""
er1 = (r["reviewed_entry_reason"] or "").strip() if r["reviewed_entry_reason"] else ""
- eff = er1 or er0
- data.append(tuple(r[h] for h in head_base) + (eff,))
+ kst = (r["key_signal_type"] or "").strip() if "key_signal_type" in r.keys() else ""
+ eff = er1 or er0 or entry_reason_from_key_signal(kst) or ""
+ snap = r["initial_stop_loss"] if r["initial_stop_loss"] not in (None, "") else r["stop_loss"]
+ data.append((
+ r["id"], r["symbol"], r["monitor_type"], kst, r["direction"], r["trigger_price"],
+ snap, r["initial_stop_loss"], r["take_profit"], r["margin_capital"], r["leverage"],
+ r["pnl_amount"], r["hold_seconds"], r["hold_minutes"], r["planned_rr"], r["actual_rr"], r["risk_amount"],
+ r["opened_at"], r["closed_at"], r["result"], r["miss_reason"], r["entry_reason"], r["reviewed_entry_reason"],
+ r["exchange_realized_pnl"] if "exchange_realized_pnl" in r.keys() else None,
+ r["exchange_opened_at"] if "exchange_opened_at" in r.keys() else None,
+ r["exchange_closed_at"] if "exchange_closed_at" in r.keys() else None,
+ r["created_at"], eff,
+ ))
day = app_now().strftime("%Y%m%d")
- return _csv_response(f"trade_records_v2_{day}.csv", data, head)
+ return _csv_response(f"trade_records_v3_{day}.csv", data, head)
@app.route("/export/journal_entries")
@@ -6629,10 +6778,13 @@ def export_key_monitors():
@app.route("/export/key_monitor_history")
@login_required
def export_key_monitor_history():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
rows = conn.execute(
"SELECT id,symbol,monitor_type,direction,upper,lower,notification_count,last_alert_message,close_reason,closed_at "
- "FROM key_monitor_history ORDER BY id ASC"
+ "FROM key_monitor_history WHERE closed_at >= ? AND closed_at <= ? ORDER BY id ASC",
+ (start_bj, end_bj),
).fetchall()
conn.close()
head = [
@@ -6862,9 +7014,10 @@ def add_journal():
symbol_guess = normalize_symbol_input(coin) or coin
exchange_symbol = normalize_exchange_symbol(symbol_guess)
title_prefix = f"{symbol_guess} journal {entry_id[:8]}"
+ close_ms = _local_input_datetime_to_ms(d.get("close_datetime"))
marker_payload = {
- "entry_ts_ms": _local_input_datetime_to_ms(d.get("open_datetime")),
- "exit_ts_ms": _local_input_datetime_to_ms(d.get("close_datetime")),
+ "exit_ts_ms": close_ms,
+ "entry_ts_ms": close_ms,
"entry_price": d.get("entry_price_hint"),
"exit_price": None,
}
@@ -6929,8 +7082,14 @@ def add_journal():
@app.route("/api/journals")
@login_required
def api_journals():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
- rows = conn.execute("SELECT * FROM journal_entries ORDER BY created_at DESC").fetchall()
+ rows = conn.execute(
+ "SELECT * FROM journal_entries WHERE COALESCE(close_datetime, created_at, open_datetime) >= ? "
+ "AND COALESCE(close_datetime, created_at, open_datetime) <= ? ORDER BY created_at DESC LIMIT 500",
+ (start_bj, end_bj),
+ ).fetchall()
conn.close()
result = []
for r in rows:
@@ -6978,8 +7137,13 @@ def delete_journal(jid):
@app.route("/api/reviews")
@login_required
def api_reviews():
+ win = _list_window_from_request()
+ start_bj, end_bj = utc_window_to_bj_sql_strings(win["start_utc"], win["end_utc"], APP_TZ)
conn = get_db()
- rows = conn.execute("SELECT * FROM ai_reviews ORDER BY created_at DESC").fetchall()
+ rows = conn.execute(
+ "SELECT * FROM ai_reviews WHERE created_at >= ? AND created_at <= ? ORDER BY created_at DESC LIMIT 200",
+ (start_bj, end_bj),
+ ).fetchall()
conn.close()
return jsonify([row_to_dict(r) for r in rows])
diff --git a/crypto_monitor_gate/templates/index.html b/crypto_monitor_gate/templates/index.html
index 3e9e16f..fa582f3 100644
--- a/crypto_monitor_gate/templates/index.html
+++ b/crypto_monitor_gate/templates/index.html
@@ -110,6 +110,10 @@
.export-bar{display:flex;flex-wrap:wrap;gap:8px;align-items:center;margin-bottom:12px;font-size:.85rem}
.export-bar a{color:#8fc8ff;text-decoration:none;padding:6px 10px;border:1px solid #304164;border-radius:8px;background:#151a2a}
.export-bar a:hover{background:#1f2740}
+ .list-window-bar{display:flex;flex-wrap:wrap;gap:8px;align-items:center;margin-bottom:12px;padding:10px 12px;background:#151a2a;border:1px solid #304164;border-radius:10px;font-size:.82rem}
+ .list-window-bar label{color:#9aa;display:flex;align-items:center;gap:6px}
+ .stats-segment-block{margin-top:20px;padding-top:14px;border-top:1px solid #3a4468}
+ .stats-segment-block h2{font-size:1.05rem;color:#dbe4ff;margin-bottom:8px}
.key-history{margin-top:12px;padding-top:10px;border-top:1px solid #2a3150}
.key-history h3{font-size:.88rem;color:#b8c4ff;margin-bottom:6px}
.key-history .sub{font-size:.72rem;color:#8892b0;margin-bottom:6px}
@@ -204,6 +208,23 @@
{% with msg=get_flashed_messages() %}{% if msg %}{{ msg[0] }}
{% endif %}{% endwith %}
+
+ 列表筛选(UTC ,默认当日):{{ list_window.label }}
+ 预设
+
+ UTC 当日
+ 近 24 小时
+ 近 7 天
+ 自定义
+
+
+
+ 起(UTC)
+ 止(UTC)
+
+ 应用
+ 统计页仍按北京时间 {{ stats_bundle.stats_reset_hour|default(reset_hour) }}:00 切日
+
数据导出(v{{ data_export_version }} CSV,UTF-8;交易记录含开仓类型列,复盘单独导出):
交易记录
@@ -514,7 +535,7 @@
- 品种 类型 方向 成交 止损 止盈 基数 杠杆 持仓分钟 开仓时间(北京) 平仓时间(北京) 盈亏U 结果 操作
+ 品种 类型 方向 成交 止损(开仓) 止盈 基数 杠杆 持仓分钟 开仓时间(北京) 平仓时间(北京) 盈亏U 结果 操作
{% for r in record %}
{% set pnl_val = (r.pnl_amount or 0)|float %}
@@ -522,7 +543,7 @@
{{ r.monitor_type }}{% if r.key_signal_type %} · {{ r.key_signal_type }}{% endif %}
{{ '做多' if r.direction == 'long' else '做空' }}
{{ price_fmt(r.symbol, r.trigger_price) }}
- {% set stop_show = r.effective_stop_loss or r.initial_stop_loss or r.stop_loss %}
+ {% set stop_show = r.display_open_stop_loss or r.initial_stop_loss or r.stop_loss %}
{% set tp_show = r.effective_take_profit or r.take_profit %}
{{ price_fmt(r.symbol, stop_show) }}
{{ price_fmt(r.symbol, tp_show) }}
@@ -547,9 +568,10 @@
onclick='fillJournalFromTrade({{ {
"symbol": r.symbol,
"monitor_type": r.monitor_type,
+ "key_signal_type": r.key_signal_type or "",
"direction": r.direction,
"trigger_price": r.trigger_price,
- "stop_loss": r.effective_stop_loss or r.initial_stop_loss or r.stop_loss,
+ "stop_loss": r.display_open_stop_loss or r.initial_stop_loss or r.stop_loss,
"take_profit": r.effective_take_profit or r.take_profit,
"opened_at": r.effective_opened_at,
"closed_at": r.effective_closed_at,
@@ -629,6 +651,7 @@
离场触发(必选)
+ 止盈
保本止盈
移动止盈
手动平仓
@@ -702,12 +725,17 @@
持仓占用导致错过(累计)
{{ occupied_miss_total }}
- 已平仓「下单监控」按平仓时间归入北京时间 下的交易日;胜率按盈笔数/(盈+亏)。历史总开仓(累计):
+ 统计分析按北京时间 {{ stats_bundle.stats_reset_hour }}:00 切日计入;下列为各品类已平仓。历史总开仓(累计):
{{ stats_bundle.total_opens_all }} 次
- {{ period_stats("日统计", stats_bundle.day) }}
- {{ period_stats("周统计", stats_bundle.week) }}
- {{ period_stats("月统计", stats_bundle.month) }}
+ {% for seg in stats_bundle.segments %}
+
+
{{ seg.title }}
+ {{ period_stats("日统计", seg.day) }}
+ {{ period_stats("周统计", seg.week) }}
+ {{ period_stats("月统计", seg.month) }}
+
+ {% endfor %}
{% endif %}
@@ -931,8 +959,50 @@ function deleteKeyHistory(id){
.catch(()=>{ window.location.href = `${window.location.pathname}?_ts=${Date.now()}`; });
}
+function listWindowQueryString(){
+ const presetEl = document.getElementById("win-preset-select");
+ const preset = (presetEl && presetEl.value) || new URLSearchParams(window.location.search).get("win_preset") || "utc_today";
+ const q = new URLSearchParams(window.location.search);
+ q.set("win_preset", preset);
+ if(preset === "custom"){
+ const fromEl = document.getElementById("win-from-utc");
+ const toEl = document.getElementById("win-to-utc");
+ if(fromEl && fromEl.value) q.set("from_utc", fromEl.value.replace("T", " ") + ":00");
+ else q.delete("from_utc");
+ if(toEl && toEl.value) q.set("to_utc", toEl.value.replace("T", " ") + ":00");
+ else q.delete("to_utc");
+ } else {
+ q.delete("from_utc");
+ q.delete("to_utc");
+ }
+ return q.toString();
+}
+
+function toggleListWindowCustom(){
+ const preset = document.getElementById("win-preset-select");
+ const box = document.getElementById("win-custom-range");
+ if(!preset || !box) return;
+ box.style.display = preset.value === "custom" ? "" : "none";
+}
+
+function applyListWindow(){
+ const qs = listWindowQueryString();
+ const path = window.location.pathname || "/trade";
+ window.location.href = qs ? (path + "?" + qs) : path;
+}
+
+function attachListWindowToExports(){
+ const qs = listWindowQueryString();
+ if(!qs) return;
+ document.querySelectorAll('.export-bar a[href^="/export/trade_records"], .export-bar a[href^="/export/key_monitor_history"]').forEach(a=>{
+ const base = a.getAttribute("href").split("?")[0];
+ a.setAttribute("href", base + "?" + qs);
+ });
+}
+
function loadJournals(){
- fetch("/api/journals").then(r=>r.json()).then(data=>{
+ const qs = listWindowQueryString();
+ fetch("/api/journals" + (qs ? "?" + qs : "")).then(r=>r.json()).then(data=>{
Object.keys(journalCache).forEach(k=>delete journalCache[k]);
let html="";
data.forEach(o=>{
@@ -954,7 +1024,8 @@ function loadJournals(){
}
function loadReviews(){
- fetch("/api/reviews").then(r=>r.json()).then(data=>{
+ const qs = listWindowQueryString();
+ fetch("/api/reviews" + (qs ? "?" + qs : "")).then(r=>r.json()).then(data=>{
Object.keys(reviewCache).forEach(k=>delete reviewCache[k]);
let html="";
data.forEach(r=>{
@@ -1026,7 +1097,13 @@ function setJournalField(name, value){
el.value = String(value);
}
-const EARLY_EXIT_TRIGGERS = new Set(["保本止盈","移动止盈","手动平仓","止损","其他"]);
+const EARLY_EXIT_TRIGGERS = new Set(["止盈","保本止盈","移动止盈","手动平仓","止损","其他"]);
+const KEY_ENTRY_REASON_BY_SIGNAL = {
+ "箱体突破": "关键位箱体突破",
+ "收敛突破": "关键位收敛突破",
+ "斐波回调0.618": "关键位斐波0.618",
+ "斐波回调0.786": "关键位斐波0.786"
+};
function splitLegacyEarlyExitReason(raw){
const s = String(raw || "").trim();
@@ -1116,11 +1193,17 @@ function fillJournalFromTrade(t){
if(dirHint){ dirHint.value = t.direction || "long"; }
setJournalField("early_exit_trigger", "");
setJournalField("early_exit_note", "");
- setJournalField("entry_reason", "");
+ const kst = String(t.key_signal_type || "").trim();
+ const erFromKey = KEY_ENTRY_REASON_BY_SIGNAL[kst] || "";
+ if(erFromKey && JOURNAL_ENTRY_REASON_OPTIONS.includes(erFromKey)){
+ setJournalField("entry_reason", erFromKey);
+ } else {
+ setJournalField("entry_reason", "");
+ }
setJournalField("entry_reason_custom", "");
syncJournalEntryReasonOtherUi();
const er = String(t.result || "").trim();
- const exitTrigMap = { 保本止盈: "保本止盈", 移动止盈: "移动止盈", 手动平仓: "手动平仓", 止损: "止损" };
+ const exitTrigMap = { 止盈: "止盈", 保本止盈: "保本止盈", 移动止盈: "移动止盈", 手动平仓: "手动平仓", 止损: "止损" };
if(exitTrigMap[er]) setJournalField("early_exit_trigger", exitTrigMap[er]);
const note = `来自交易记录自动填充:${t.symbol || "-"} ${t.direction || "-"} | 入场:${t.trigger_price || "-"} 止损:${t.stop_loss || "-"} 止盈:${t.take_profit || "-"} | 类型:${t.monitor_type || "-"}`;
setJournalField("note", note);
@@ -1211,6 +1294,8 @@ function toggleStatsCard(){
btn.innerText = collapsed ? "展开" : "折叠";
}
+attachListWindowToExports();
+toggleListWindowCustom();
if(document.getElementById("journal-list")) loadJournals();
if(document.getElementById("review-list")) loadReviews();
const reviewToggle = document.getElementById("review-mode-toggle");
diff --git a/crypto_monitor_gate/更新文档.md b/crypto_monitor_gate/更新文档.md
index a62cfe1..a960661 100644
--- a/crypto_monitor_gate/更新文档.md
+++ b/crypto_monitor_gate/更新文档.md
@@ -6,14 +6,14 @@
|------|------|------|------|
| 1 | 关键位监控 | `/key_monitor` | 关键位添加、实时门控、历史 |
| 2 | 实盘下单 | `/trade` | 人工开仓、划转、实时持仓(**默认首页** `/` → `/trade`) |
-| 3 | 交易记录与复盘 | `/records` | 未改动 |
-| 4 | 统计分析 | `/stats` | 未改动 |
+| 3 | 交易记录与复盘 | `/records` | 交易记录、复盘表单、AI 历史(受顶栏 UTC 时间窗筛选) |
+| 4 | 统计分析 | `/stats` | 按北京时间交易日切日 + 分品类统计块 |
## 关键位监控页
- 标题去掉「5m」;规则条从 `.env` 读取(周期、确认K、量能、自动开仓盈亏比、日成交量排名)。
- 左列:活跃关键位,**pos-card** 样式展示现价/距上沿/距下沿/门控。
-- 右列:关键位历史(失效/结案),与左列等高滚动。
+- 右列:关键位历史(失效/结案),与左列等高滚动;**受顶栏 UTC 列表时间窗筛选**(默认 UTC 当日)。
- 监控类型新增:**斐波回调0.618**、**斐波回调0.786**(与 Binance 主站同一套规则,计算逻辑见仓库根目录 `fib_key_monitor_lib.py`)。
### 斐波关键位监控(方案 A:交易所限价)
@@ -41,11 +41,52 @@
- 自动开仓写入 `order_monitors.key_signal_type`:`箱体突破` 或 `收敛突破`。
- 持仓卡片、交易记录列表会显示「来源 · 信号类型」。
+## 列表时间窗(UTC,全站顶栏)
+
+共用模块:仓库根目录 `history_window_lib.py`(Gate / Binance 主站一致)。
+
+| 项 | 说明 |
+|----|------|
+| 默认 | **UTC 当日**(`win_preset=utc_today`,从 UTC 0:00 至当前时刻) |
+| 可选 | 近 24 小时、近 7 天、自定义起止(UTC,`datetime-local`) |
+| 作用范围 | 关键位历史、交易记录列表、复盘记录 API、AI 历史 API、导出「交易记录」「关键位历史」 |
+| 与统计的关系 | **仅影响列表/导出**;**统计分析页仍按北京时间 `TRADING_DAY_RESET_HOUR`(默认 8:00)切交易日** |
+| 库内时间 | DB 存北京时间字符串;后端用 `utc_window_to_bj_sql_strings()` 换算后再 SQL 比较 |
+| 切换方式 | 顶栏「列表筛选(UTC)」→ 选预设 → **应用**(保留当前路由,如 `/records?win_preset=…`) |
+
+查询参数示例:
+
+- `?win_preset=utc_today`
+- `?win_preset=utc_last24h` / `utc_last7d`
+- `?win_preset=custom&from_utc=2026-05-18 00:00:00&to_utc=2026-05-19 12:00:00`
+
## 交易记录与复盘
- 平仓记录可同步交易所已实现盈亏(Gate 仓位历史等);列表盈亏列优先显示交易所数据,标注 **所** / **估**。
- 记录页提供 **立即同步**(`POST /api/sync_exchange_pnl`),用于补全或刷新 `exchange_realized_pnl` 等字段。
- 未做人工复盘时,展示以交易所盈亏为准(有同步数据时)。
+- **列表默认只显示当前 UTC 时间窗内**的记录(见上节);导出 CSV 同步该时间窗。
+- 表头 **「止损(开仓)」**:展示开仓快照 `initial_stop_loss`(无则回退 `stop_loss`);核对/复盘仍可用有效止损字段。
+- 平仓写入 `trade_records` 时:`stop_loss` 与 `initial_stop_loss` 均写入**开仓时止损快照**;`key_signal_type` 保留箱体/收敛/斐波来源(`fib_key_monitor_lib.key_signal_type_for_trade_record`)。
+- **开仓类型**(`entry_reason`):机器单平仓入库时,若未手填,按 `key_signal_type` 自动映射(见下表);列表/导出「开仓类型」列 = 复盘核对值优先,否则入库值,否则按信号映射。
+
+| `key_signal_type` | 自动写入的 `entry_reason` |
+|-------------------|---------------------------|
+| 箱体突破 | 关键位箱体突破 |
+| 收敛突破 | 关键位收敛突破 |
+| 斐波回调0.618 | 关键位斐波0.618 |
+| 斐波回调0.786 | 关键位斐波0.786 |
+
+- 复盘表单 **开仓类型** 下拉新增上述四条固定文案(与趋势/波段类并列)。
+- 复盘 **离场触发** 新增 **「止盈」**;从交易记录「填入复盘」时,若结果为「止盈/保本止盈/移动止盈/止损/手动平仓」会自动选中对应触发项,并按 `key_signal_type` 预填开仓类型。
+- 勾选「保存时自动生成多周期 K 线图」时:以 **平仓时间** 为锚点,各周期向前约 `ORDER_CHART_LIMIT`(默认 100)根 K 线(`_fetch_ohlcv_ending_at`),不再固定拉「最近 100 根」。
+- `/api/journals`、`/api/reviews` 支持同一时间窗 query,与列表一致。
+
+### 导出(交易记录 v3)
+
+- 文件名:`trade_records_v3_YYYYMMDD.csv`
+- 相对 v2 增加:`key_signal_type`、`initial_stop_loss`(及开仓快照列)、`planned_rr`、`actual_rr`、`risk_amount`、交易所盈亏与时间字段等;末列「开仓类型」为有效展示文案。
+- 「关键位历史」导出同样受 UTC 时间窗限制。
## 实盘下单页
@@ -53,6 +94,16 @@
- 右列:实时持仓(独立模块)。
- **人工开仓门控**:计划盈亏比 < `MANUAL_MIN_PLANNED_RR`(默认 **1.4**)时前端弹窗 + 后端拒绝。
+## 统计分析页(`/stats`)
+
+| 项 | 说明 |
+|----|------|
+| 切日 | **北京时间**;交易日边界 = 每日 `TRADING_DAY_RESET_HOUR:00`(`.env` 默认 **8**) |
+| 分块 | 页内按品类各一块:**全部已平仓**、**人工·下单监控**、**关键位箱体突破**、**关键位收敛突破**、**关键位斐波0.618**、**关键位斐波0.786** |
+| 每块指标 | 日 / 周 / 月:开单次数、平仓笔数、胜率、净盈亏、回撤、连续亏损等(与原口径一致) |
+| 开单次数 | 人工块:`monitor_type=下单监控` 且无 `key_signal_type`;关键位块:按 `order_monitors.key_signal_type` 计数 |
+| 不受 UTC 窗影响 | 统计始终基于库内全部已平仓记录,按北京交易日归类,**不**随顶栏 UTC 列表窗切换 |
+
## 持仓与计仓
- `MAX_ACTIVE_POSITIONS` 默认 **1**(可在 `.env` 调大)。
@@ -72,12 +123,24 @@
`key_monitors` 新增斐波字段(示例):`fib_limit_order_id`、`fib_entry_price`、`fib_stop_loss`、`fib_take_profit`、`fib_order_amount`、`fib_margin_capital`、`fib_leverage`。
-`trade_records` / `order_monitors` 新增或沿用:`key_signal_type`、`exchange_realized_pnl`、`exchange_opened_at`、`exchange_closed_at`、`exchange_sync_key`。
+`trade_records` / `order_monitors` 新增或沿用:`key_signal_type`、`exchange_realized_pnl`、`exchange_opened_at`、`exchange_closed_at`、`exchange_sync_key`、`entry_reason`、`reviewed_entry_reason`、`initial_stop_loss`。
+
+**历史数据**:本次**不做**旧记录的批量回填(`entry_reason` / `initial_stop_loss` / `key_signal_type` 等);仅**新产生**的平仓与复盘按新逻辑写入。旧行展示可回退已有字段。
+
+## 涉及文件(便于排查)
+
+| 路径 | 说明 |
+|------|------|
+| `history_window_lib.py` | UTC 时间窗解析与转北京时间 SQL 字符串 |
+| `fib_key_monitor_lib.py` | 斐波计算、`KEY_ENTRY_REASON_BY_SIGNAL`、`entry_reason_from_key_signal` |
+| `crypto_monitor_gate/app.py` | 列表筛选、统计分块、导出 v3、复盘 K 线锚点、入库逻辑 |
+| `crypto_monitor_gate/templates/index.html` | 顶栏时间窗、统计分块 UI、止损(开仓)列、复盘预填 |
## 升级步骤
1. `git pull` 后对比 `.env.example`,把新增变量合并进本地 `.env`。
2. 在 VPS 上为 Binance / Gate / Gate Bot **各执行一次** `bash scripts/install_backup_cron.sh`(若尚未安装)。
-3. 重启 Gate 实例服务(如 `pm2 restart crypto_gate`);首次启动会自动 `ALTER TABLE` 斐波与交易所盈亏相关列。
+3. 重启 Gate 实例服务(如 `pm2 restart crypto_gate`);首次启动会自动 `ALTER TABLE` 缺列(斐波、交易所盈亏、`entry_reason` 等)。
4. 浏览器强刷(Ctrl+F5)避免旧版 `index.html` 缓存。
-5. 建议在测试币上先添加一条斐波监控,确认:限价已挂出、标记价失效会撤单、成交后出现持仓监控且 TP/SL 已挂上。
+5. 打开任意页确认顶栏出现 **「列表筛选(UTC)」**;`/stats` 可见分品类统计与「北京 8:00 切日」说明。
+6. 建议在测试币上先添加一条斐波监控,确认:限价已挂出、标记价失效会撤单、成交后出现持仓监控且 TP/SL 已挂上;平仓后交易记录止损(开仓)与开仓类型是否正确。
diff --git a/fib_key_monitor_lib.py b/fib_key_monitor_lib.py
index d8176ec..9909cec 100644
--- a/fib_key_monitor_lib.py
+++ b/fib_key_monitor_lib.py
@@ -48,6 +48,18 @@ def stored_key_signal_type(monitor_type):
return None
+KEY_ENTRY_REASON_BY_SIGNAL = {
+ "箱体突破": "关键位箱体突破",
+ "收敛突破": "关键位收敛突破",
+ "斐波回调0.618": "关键位斐波0.618",
+ "斐波回调0.786": "关键位斐波0.786",
+}
+
+
+def entry_reason_from_key_signal(key_signal_type):
+ return KEY_ENTRY_REASON_BY_SIGNAL.get((key_signal_type or "").strip())
+
+
def key_signal_type_for_trade_record(key_signal_type, box_auto_types):
"""平仓写入 trade_records 时保留箱体/收敛/斐波来源。"""
kst = (key_signal_type or "").strip()
diff --git a/history_window_lib.py b/history_window_lib.py
new file mode 100644
index 0000000..6979cc9
--- /dev/null
+++ b/history_window_lib.py
@@ -0,0 +1,75 @@
+"""列表/导出用 UTC 时间窗(Gate / Binance 主站共用)。"""
+
+from datetime import datetime, timedelta, timezone
+
+PRESET_UTC_TODAY = "utc_today"
+PRESET_UTC_LAST24H = "utc_last24h"
+PRESET_UTC_LAST7D = "utc_last7d"
+PRESET_CUSTOM = "custom"
+
+
+def utc_now():
+ return datetime.now(timezone.utc)
+
+
+def utc_today_bounds(now=None):
+ now = now or utc_now()
+ start = now.replace(hour=0, minute=0, second=0, microsecond=0)
+ return start, now
+
+
+def resolve_window(query_mapping, default_preset=PRESET_UTC_TODAY):
+ """
+ 从 ?win_preset= & from_utc= & to_utc= 解析窗口。
+ 返回 dict: preset, start_utc, end_utc, label, start_ms, end_ms
+ """
+ preset = (query_mapping.get("win_preset") or default_preset or PRESET_UTC_TODAY).strip().lower()
+ now = utc_now()
+
+ if preset == PRESET_UTC_LAST24H:
+ start = now - timedelta(hours=24)
+ end = now
+ label = "近24小时(UTC)"
+ elif preset == PRESET_UTC_LAST7D:
+ start = now - timedelta(days=7)
+ end = now
+ label = "近7天(UTC)"
+ elif preset == PRESET_CUSTOM:
+ start = _parse_utc_input(query_mapping.get("from_utc")) or utc_today_bounds(now)[0]
+ end = _parse_utc_input(query_mapping.get("to_utc")) or now
+ if end < start:
+ start, end = end, start
+ label = f"{start.strftime('%Y-%m-%d %H:%M')} ~ {end.strftime('%Y-%m-%d %H:%M')} UTC"
+ else:
+ start, end = utc_today_bounds(now)
+ preset = PRESET_UTC_TODAY
+ label = f"UTC当日 {start.strftime('%Y-%m-%d')}"
+
+ return {
+ "preset": preset,
+ "start_utc": start,
+ "end_utc": end,
+ "label": label,
+ "start_ms": int(start.timestamp() * 1000),
+ "end_ms": int(end.timestamp() * 1000),
+ }
+
+
+def _parse_utc_input(raw):
+ s = (raw or "").strip().replace("T", " ").replace("Z", "").strip()
+ if not s:
+ return None
+ for fmt, n in (("%Y-%m-%d %H:%M:%S", 19), ("%Y-%m-%d %H:%M", 16), ("%Y-%m-%d", 10)):
+ try:
+ dt = datetime.strptime(s[:n], fmt)
+ return dt.replace(tzinfo=timezone.utc)
+ except Exception:
+ continue
+ return None
+
+
+def utc_window_to_bj_sql_strings(start_utc, end_utc, app_tz):
+ """DB 存北京时间字符串时,用于 SQLite 字符串范围比较。"""
+ start_bj = start_utc.astimezone(app_tz).strftime("%Y-%m-%d %H:%M:%S")
+ end_bj = end_utc.astimezone(app_tz).strftime("%Y-%m-%d %H:%M:%S")
+ return start_bj, end_bj