Add all-time stats tab with monthly breakdown on instance analytics.

Co-authored-by: Cursor <cursoragent@cursor.com>

crypto_monitor_binance/app.py

@@ -1844,8 +1844,38 @@ def _compute_period_metrics(trades):
     }
 
 
+def _bounds_for_month_key(ym):
+    """ym: YYYY-MM → 该自然月首末日(北京日历)."""
+    y, m = [int(x) for x in str(ym).split("-", 1)]
+    start = f"{y:04d}-{m:02d}-01"
+    if m == 12:
+        end = f"{y:04d}-12-31"
+    else:
+        end = (datetime(y, m + 1, 1) - timedelta(days=1)).date().strftime("%Y-%m-%d")
+    return start, end
+
+
+def _build_monthly_stats_rows(conn, all_tr, seg_key):
+    """按北京交易日所在自然月聚合;新月在前."""
+    by_month = {}
+    for p, t, td in all_tr:
+        if not td or len(str(td)) < 7:
+            continue
+        mk = str(td)[:7]
+        by_month.setdefault(mk, []).append((p, t, td))
+    rows = []
+    for mk in sorted(by_month.keys(), reverse=True):
+        metrics = _compute_period_metrics(by_month[mk])
+        ms, me = _bounds_for_month_key(mk)
+        metrics["opens_count"] = _count_opens_for_segment(conn, ms, me, seg_key)
+        metrics["range_label"] = f"{ms} ~ {me}"
+        metrics["month_key"] = mk
+        rows.append(metrics)
+    return rows
+
+
 def compute_stats_bundle(conn, trading_day, now_dt=None):
-    """日 / 周 / 月 统计:平仓按北京时间交易日(默认 8:00 切日)计入."""
+    """日 / 周 / 月 / 全部 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_trade_pnls(conn)
     total_opens_all = conn.execute("SELECT COUNT(*) FROM order_monitors").fetchone()[0]
@@ -1857,26 +1887,37 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
         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]
+        all_tr = [(p, t, td) for p, t, td, _r in seg_rows if t]
         dm = _compute_period_metrics(day_tr)
         wm = _compute_period_metrics(week_tr)
         mm = _compute_period_metrics(month_tr)
+        am = _compute_period_metrics(all_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)
+        am["opens_count"] = _count_opens_for_segment(conn, "1970-01-01", "9999-12-31", 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
+        tds = [td for _, _, td in all_tr if td]
+        if tds:
+            am["range_label"] = f"全部历史 {min(tds)} ~ {max(tds)}(北京交易日)"
+        else:
+            am["range_label"] = "全部历史(暂无平仓)"
+        am["monthly_rows"] = _build_monthly_stats_rows(conn, all_tr, seg_key)
+        return dm, wm, mm, am
 
     segments = []
     seg_defs = effective_stats_segment_defs(
         STATS_SEGMENT_DEFS, POSITION_SIZING_MODE, KEY_AUTO_ORDER_ENABLED
     )
     for seg_key, seg_title, _meta in seg_defs:
-        dm, wm, mm = slice_metrics(seg_key)
+        dm, wm, mm, am = slice_metrics(seg_key)
-        segments.append({"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm})
+        segments.append(
+            {"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm, "all": am}
+        )
 
-    dm, wm, mm = slice_metrics("all")
+    dm, wm, mm, am = slice_metrics("all")
 
     return {
         "trading_day": trading_day,
@@ -1884,6 +1925,7 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
         "day": dm,
         "week": wm,
         "month": mm,
+        "all": am,
         "segments": segments,
         "stats_reset_hour": TRADING_DAY_RESET_HOUR,
     }

crypto_monitor_gate/app.py

@@ -1842,45 +1842,80 @@ def _compute_period_metrics(trades):
     }
 
 
+def _bounds_for_month_key(ym):
+    """ym: YYYY-MM → 该自然月首末日(北京日历)."""
+    y, m = [int(x) for x in str(ym).split("-", 1)]
+    start = f"{y:04d}-{m:02d}-01"
+    if m == 12:
+        end = f"{y:04d}-12-31"
+    else:
+        end = (datetime(y, m + 1, 1) - timedelta(days=1)).date().strftime("%Y-%m-%d")
+    return start, end
+
+
+def _build_monthly_stats_rows(conn, all_tr, seg_key):
+    """按北京交易日所在自然月聚合;新月在前."""
+    by_month = {}
+    for p, t, td in all_tr:
+        if not td or len(str(td)) < 7:
+            continue
+        mk = str(td)[:7]
+        by_month.setdefault(mk, []).append((p, t, td))
+    rows = []
+    for mk in sorted(by_month.keys(), reverse=True):
+        metrics = _compute_period_metrics(by_month[mk])
+        ms, me = _bounds_for_month_key(mk)
+        metrics["opens_count"] = _count_opens_for_segment(conn, ms, me, seg_key)
+        metrics["range_label"] = f"{ms} ~ {me}"
+        metrics["month_key"] = mk
+        rows.append(metrics)
+    return rows
+
+
 def compute_stats_bundle(conn, trading_day, now_dt=None):
-    """日 / 周 / 月 统计:平仓按北京时间交易日(默认 8:00 切日)计入."""
+    """日 / 周 / 月 / 全部 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_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):
-        return tr[2] and w_start <= tr[2] <= w_end
-
-    def in_month(tr):
-        return tr[2] and m_start <= tr[2] <= m_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]
+        all_tr = [(p, t, td) for p, t, td, _r in seg_rows if t]
         dm = _compute_period_metrics(day_tr)
         wm = _compute_period_metrics(week_tr)
         mm = _compute_period_metrics(month_tr)
+        am = _compute_period_metrics(all_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)
+        am["opens_count"] = _count_opens_for_segment(conn, "1970-01-01", "9999-12-31", 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
+        tds = [td for _, _, td in all_tr if td]
+        if tds:
+            am["range_label"] = f"全部历史 {min(tds)} ~ {max(tds)}(北京交易日)"
+        else:
+            am["range_label"] = "全部历史(暂无平仓)"
+        am["monthly_rows"] = _build_monthly_stats_rows(conn, all_tr, seg_key)
+        return dm, wm, mm, am
 
     segments = []
     seg_defs = effective_stats_segment_defs(
         STATS_SEGMENT_DEFS, POSITION_SIZING_MODE, KEY_AUTO_ORDER_ENABLED
     )
     for seg_key, seg_title, _meta in seg_defs:
-        dm, wm, mm = slice_metrics(seg_key)
+        dm, wm, mm, am = slice_metrics(seg_key)
-        segments.append({"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm})
+        segments.append(
+            {"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm, "all": am}
+        )
 
-    dm, wm, mm = slice_metrics("all")
+    dm, wm, mm, am = slice_metrics("all")
 
     return {
         "trading_day": trading_day,
@@ -1888,6 +1923,7 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
         "day": dm,
         "week": wm,
         "month": mm,
+        "all": am,
         "segments": segments,
         "stats_reset_hour": TRADING_DAY_RESET_HOUR,
     }

crypto_monitor_okx/app.py

@@ -1843,8 +1843,38 @@ def _compute_period_metrics(trades):
     }
 
 
+def _bounds_for_month_key(ym):
+    """ym: YYYY-MM → 该自然月首末日(北京日历)."""
+    y, m = [int(x) for x in str(ym).split("-", 1)]
+    start = f"{y:04d}-{m:02d}-01"
+    if m == 12:
+        end = f"{y:04d}-12-31"
+    else:
+        end = (datetime(y, m + 1, 1) - timedelta(days=1)).date().strftime("%Y-%m-%d")
+    return start, end
+
+
+def _build_monthly_stats_rows(conn, all_tr, seg_key):
+    """按北京交易日所在自然月聚合;新月在前."""
+    by_month = {}
+    for p, t, td in all_tr:
+        if not td or len(str(td)) < 7:
+            continue
+        mk = str(td)[:7]
+        by_month.setdefault(mk, []).append((p, t, td))
+    rows = []
+    for mk in sorted(by_month.keys(), reverse=True):
+        metrics = _compute_period_metrics(by_month[mk])
+        ms, me = _bounds_for_month_key(mk)
+        metrics["opens_count"] = _count_opens_for_segment(conn, ms, me, seg_key)
+        metrics["range_label"] = f"{ms} ~ {me}"
+        metrics["month_key"] = mk
+        rows.append(metrics)
+    return rows
+
+
 def compute_stats_bundle(conn, trading_day, now_dt=None):
-    """日 / 周 / 月 统计:平仓按北京时间交易日(默认 8:00 切日)计入."""
+    """日 / 周 / 月 / 全部 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_trade_pnls(conn)
     total_opens_all = conn.execute("SELECT COUNT(*) FROM order_monitors").fetchone()[0]
@@ -1856,26 +1886,37 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
         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]
+        all_tr = [(p, t, td) for p, t, td, _r in seg_rows if t]
         dm = _compute_period_metrics(day_tr)
         wm = _compute_period_metrics(week_tr)
         mm = _compute_period_metrics(month_tr)
+        am = _compute_period_metrics(all_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)
+        am["opens_count"] = _count_opens_for_segment(conn, "1970-01-01", "9999-12-31", 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
+        tds = [td for _, _, td in all_tr if td]
+        if tds:
+            am["range_label"] = f"全部历史 {min(tds)} ~ {max(tds)}(北京交易日)"
+        else:
+            am["range_label"] = "全部历史(暂无平仓)"
+        am["monthly_rows"] = _build_monthly_stats_rows(conn, all_tr, seg_key)
+        return dm, wm, mm, am
 
     segments = []
     seg_defs = effective_stats_segment_defs(
         STATS_SEGMENT_DEFS, POSITION_SIZING_MODE, KEY_AUTO_ORDER_ENABLED
     )
     for seg_key, seg_title, _meta in seg_defs:
-        dm, wm, mm = slice_metrics(seg_key)
+        dm, wm, mm, am = slice_metrics(seg_key)
-        segments.append({"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm})
+        segments.append(
+            {"key": seg_key, "title": seg_title, "day": dm, "week": wm, "month": mm, "all": am}
+        )
 
-    dm, wm, mm = slice_metrics("all")
+    dm, wm, mm, am = slice_metrics("all")
 
     return {
         "trading_day": trading_day,
@@ -1883,6 +1924,7 @@ def compute_stats_bundle(conn, trading_day, now_dt=None):
         "day": dm,
         "week": wm,
         "month": mm,
+        "all": am,
         "segments": segments,
         "stats_reset_hour": TRADING_DAY_RESET_HOUR,
     }

lib/common/static/instance_page.css

@@ -212,6 +212,13 @@
         .inst-stats-details>summary{cursor:pointer;font-size:.84rem;color:#9aa3bf;padding:8px 0;user-select:none;list-style-position:inside}
         .inst-stats-details>summary::-webkit-details-marker{color:#6d7689}
         .inst-stats-details[open]>summary{margin-bottom:6px;color:#cfd3ef}
+        .inst-stats-month-table-wrap{overflow:auto;-webkit-overflow-scrolling:touch}
+        .inst-stats-month-table{width:100%;border-collapse:collapse;font-size:.8rem;font-variant-numeric:tabular-nums}
+        .inst-stats-month-table th,.inst-stats-month-table td{padding:8px 10px;text-align:right;border-bottom:1px solid #2a3348;white-space:nowrap}
+        .inst-stats-month-table th:first-child,.inst-stats-month-table td:first-child{text-align:left}
+        .inst-stats-month-table th{color:#8892b0;font-weight:600;font-size:.72rem}
+        .inst-stats-month-table td{color:#e8ecf4}
+        .inst-stats-month-table tbody tr:last-child td{border-bottom:none}
         @media (max-width:640px){.inst-stats-kpis{grid-template-columns:1fr}.inst-stats-risk-grid{grid-template-columns:1fr}}
         .key-history{margin-top:12px;padding-top:10px;border-top:1px solid #2a3150}
         .key-history h3{font-size:.88rem;color:#b8c4ff;margin-bottom:6px}

lib/common/static/instance_stats.js

@@ -1,7 +1,7 @@
 (function (global) {
   "use strict";
 
-  var PERIODS = ["day", "week", "month"];
+  var PERIODS = ["day", "week", "month", "all"];
 
   function statsSegmentSelect() {
     return document.getElementById("stats-segment-select");

lib/common/static/instance_theme.css

@@ -859,6 +859,13 @@ html[data-theme="light"] .inst-stats-details > summary {
 html[data-theme="light"] .inst-stats-details[open] > summary {
   color: #0d4a7a !important;
 }
+html[data-theme="light"] .inst-stats-month-table th {
+  color: #4a6078 !important;
+}
+html[data-theme="light"] .inst-stats-month-table td {
+  color: #142232 !important;
+  border-bottom-color: #d0dae4 !important;
+}
 
 html[data-theme="light"] .key-history {
   border-top-color: #d0dae4 !important;

lib/instance/templates/embed_page_fragment.html

@@ -78,6 +78,42 @@
             <div class="stat-item"><div class="label">期内最大亏损日</div><div class="value">{% if s.worst_day %}{{ s.worst_day }}({{ funds_fmt(s.worst_day_pnl) }}U){% else %}-{% endif %}</div></div>
         </div>
     </details>
+    {% if period_key == 'all' %}
+    <div class="inst-stats-block inst-stats-monthly" style="margin-top:14px">
+        <div class="inst-stats-block-title">按月统计</div>
+        {% if s.monthly_rows %}
+        <div class="inst-stats-month-table-wrap">
+            <table class="inst-stats-month-table">
+                <thead>
+                    <tr>
+                        <th>月份</th>
+                        <th>开单</th>
+                        <th>平仓</th>
+                        <th>胜率</th>
+                        <th>净盈亏</th>
+                        <th>最大回撤</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    {% for m in s.monthly_rows %}
+                    {% set m_net_cls = 'pos-pnl-profit' if m.net_pnl_u > 0 else ('pos-pnl-loss' if m.net_pnl_u < 0 else '') %}
+                    <tr>
+                        <td>{{ m.month_key }}</td>
+                        <td>{{ m.opens_count }}</td>
+                        <td>{{ m.closed_count }}</td>
+                        <td>{% if m.win_rate_pct is not none %}{{ m.win_rate_pct }}%{% else %}—{% endif %}</td>
+                        <td class="{{ m_net_cls }}">{% if m.net_pnl_u > 0 %}+{% endif %}{{ funds_fmt(m.net_pnl_u) }}</td>
+                        <td class="pos-pnl-loss">{{ funds_fmt(m.max_drawdown_u) }}</td>
+                    </tr>
+                    {% endfor %}
+                </tbody>
+            </table>
+        </div>
+        {% else %}
+        <p class="inst-stats-empty" style="margin-top:0">暂无按月平仓数据</p>
+        {% endif %}
+    </div>
+    {% endif %}
 </div>
 {% endmacro %}
 <div class="grid">
@@ -263,6 +299,7 @@
         {% if page == 'records' %}
         {% include 'records_panel.html' %}
         {% endif %}
+</div>
     {% if page == 'env_config' %}
     {% include 'env_config_panel.html' %}
     {% endif %}
@@ -306,13 +343,14 @@
                     <button type="button" class="stats-period-tab active" data-stats-period="day" role="tab" aria-selected="true" onclick="switchStatsPeriod('day')">日统计</button>
                     <button type="button" class="stats-period-tab" data-stats-period="week" role="tab" aria-selected="false" onclick="switchStatsPeriod('week')">周统计</button>
                     <button type="button" class="stats-period-tab" data-stats-period="month" role="tab" aria-selected="false" onclick="switchStatsPeriod('month')">月统计</button>
+                    <button type="button" class="stats-period-tab" data-stats-period="all" role="tab" aria-selected="false" onclick="switchStatsPeriod('all')">全部统计</button>
                 </div>
                 {{ period_stats_pane("day", seg.day) }}
                 {{ period_stats_pane("week", seg.week) }}
                 {{ period_stats_pane("month", seg.month) }}
+                {{ period_stats_pane("all", seg.all) }}
             </div>
             {% endfor %}
         </div>
     </div>
     {% endif %}
-</div>

lib/instance/templates/embed_shell.html

@@ -7,8 +7,8 @@
     <script src="/static/autofill_guard.js?v=1"></script>
     <link rel="stylesheet" href="/static/instance_theme_early.css?v=4">
     <link rel="stylesheet" href="/static/account_risk_badge.css?v=4">
-    <link rel="stylesheet" href="/static/instance_page.css?v=12">
+    <link rel="stylesheet" href="/static/instance_page.css?v=13">
-    <link rel="stylesheet" href="/static/instance_theme.css?v=109">
+    <link rel="stylesheet" href="/static/instance_theme.css?v=110">
     <script src="/static/account_risk_badge.js?v=4"></script>
     <meta name="theme-color" content="#0b0d14">
     <title>{{ pwa_app_name }}</title>
@@ -158,7 +158,7 @@ const ORDER_ENTRY_MODEL_CODE_TO_CATEGORY = {{ entry_model_code_to_category | toj
 <script src="/static/symbol_live_price.js?v=2"></script>
 <script src="/static/strategy_roll.js?v=6"></script>
 <script src="/static/key_monitor_form.js?v=2"></script>
-<script src="/static/instance_stats.js?v=4"></script>
+<script src="/static/instance_stats.js?v=5"></script>
 {% include 'embed_boot_scripts.html' %}
 <script src="/static/records_review_page.js?v=4"></script>
 <script src="/static/options_expiry_countdown.js?v=1"></script>

lib/instance/templates/index.html

@@ -17,8 +17,8 @@
     <link rel="apple-touch-icon" href="/static/icons/apple-touch-icon.png">
     <link rel="manifest" href="/static/icons/manifest.webmanifest">
     <title>{{ pwa_app_name }}</title>
-    <link rel="stylesheet" href="/static/instance_page.css?v=12">
+    <link rel="stylesheet" href="/static/instance_page.css?v=13">
-    <link rel="stylesheet" href="/static/instance_theme.css?v=109">
+    <link rel="stylesheet" href="/static/instance_theme.css?v=110">
 
 </head>
 <body
@@ -110,6 +110,42 @@
             <div class="stat-item"><div class="label">期内最大亏损日</div><div class="value">{% if s.worst_day %}{{ s.worst_day }}({{ funds_fmt(s.worst_day_pnl) }}U){% else %}-{% endif %}</div></div>
         </div>
     </details>
+    {% if period_key == 'all' %}
+    <div class="inst-stats-block inst-stats-monthly" style="margin-top:14px">
+        <div class="inst-stats-block-title">按月统计</div>
+        {% if s.monthly_rows %}
+        <div class="inst-stats-month-table-wrap">
+            <table class="inst-stats-month-table">
+                <thead>
+                    <tr>
+                        <th>月份</th>
+                        <th>开单</th>
+                        <th>平仓</th>
+                        <th>胜率</th>
+                        <th>净盈亏</th>
+                        <th>最大回撤</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    {% for m in s.monthly_rows %}
+                    {% set m_net_cls = 'pos-pnl-profit' if m.net_pnl_u > 0 else ('pos-pnl-loss' if m.net_pnl_u < 0 else '') %}
+                    <tr>
+                        <td>{{ m.month_key }}</td>
+                        <td>{{ m.opens_count }}</td>
+                        <td>{{ m.closed_count }}</td>
+                        <td>{% if m.win_rate_pct is not none %}{{ m.win_rate_pct }}%{% else %}—{% endif %}</td>
+                        <td class="{{ m_net_cls }}">{% if m.net_pnl_u > 0 %}+{% endif %}{{ funds_fmt(m.net_pnl_u) }}</td>
+                        <td class="pos-pnl-loss">{{ funds_fmt(m.max_drawdown_u) }}</td>
+                    </tr>
+                    {% endfor %}
+                </tbody>
+            </table>
+        </div>
+        {% else %}
+        <p class="inst-stats-empty" style="margin-top:0">暂无按月平仓数据</p>
+        {% endif %}
+    </div>
+    {% endif %}
 </div>
 {% endmacro %}
 <div class="container">
@@ -384,10 +420,12 @@
                     <button type="button" class="stats-period-tab active" data-stats-period="day" role="tab" aria-selected="true" onclick="switchStatsPeriod('day')">日统计</button>
                     <button type="button" class="stats-period-tab" data-stats-period="week" role="tab" aria-selected="false" onclick="switchStatsPeriod('week')">周统计</button>
                     <button type="button" class="stats-period-tab" data-stats-period="month" role="tab" aria-selected="false" onclick="switchStatsPeriod('month')">月统计</button>
+                    <button type="button" class="stats-period-tab" data-stats-period="all" role="tab" aria-selected="false" onclick="switchStatsPeriod('all')">全部统计</button>
                 </div>
                 {{ period_stats_pane("day", seg.day) }}
                 {{ period_stats_pane("week", seg.week) }}
                 {{ period_stats_pane("month", seg.month) }}
+                {{ period_stats_pane("all", seg.all) }}
             </div>
             {% endfor %}
         </div>
@@ -429,7 +467,7 @@ const ORDER_ENTRY_MODEL_CODE_TO_CATEGORY = {{ entry_model_code_to_category | toj
 <script src="/static/manual_order_rr_preview.js?v=5"></script>
 <script src="/static/symbol_live_price.js?v=2"></script>
 <script src="/static/strategy_roll.js?v=6"></script>
-<script src="/static/instance_stats.js?v=4"></script>
+<script src="/static/instance_stats.js?v=5"></script>
 <script>
 const JOURNAL_ENTRY_REASON_OPTIONS = {{ entry_reason_options | tojson }};
 const JOURNAL_ORDER_TYPE_OPTIONS = {{ order_type_options | tojson }};