1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
|
"""Insider transactions tab rendered as a client-side HTML surface."""
from html import escape as _esc
import pandas as pd
import streamlit as st
import streamlit.components.v1 as components
from services.data_service import (
get_company_info,
get_insider_transactions,
get_latest_price,
)
_XMAP = {"NYQ": "NYSE", "NMS": "NASDAQ", "NGM": "NASDAQ", "NCM": "NASDAQ", "ASE": "AMEX"}
def _classify(text: str) -> str:
t = str(text or "").lower()
if any(k in t for k in ("sale", "sold", "disposition")):
return "Sell"
if any(k in t for k in ("purchase", "bought", "acquisition", "grant", "award", "exercise")):
return "Buy"
return "Other"
def render_insiders(ticker: str):
import json as _json
info = get_company_info(ticker) or {}
price = get_latest_price(ticker)
df = get_insider_transactions(ticker)
if df is None or df.empty:
st.info("No insider transaction data available for this ticker.")
return
df = df.copy()
if "Start Date" in df.columns:
df["_date"] = pd.to_datetime(df["Start Date"], errors="coerce")
else:
df["_date"] = pd.NaT
def _num(val):
try:
n = float(val)
except (TypeError, ValueError):
return None
if pd.isna(n):
return None
return n
rows = []
for _, row in df.iterrows():
dt = row.get("_date")
date_str = dt.strftime("%Y-%m-%d") if pd.notna(dt) else None
month_str = dt.strftime("%Y-%m") if pd.notna(dt) else None
shares_num = _num(row.get("Shares"))
if shares_num is not None and abs(shares_num - round(shares_num)) < 1e-9:
shares_num = int(round(shares_num))
value_num = _num(row.get("Value"))
rows.append(
{
"date": date_str,
"month": month_str,
"insider": str(row.get("Insider")) if pd.notna(row.get("Insider")) else None,
"position": str(row.get("Position")) if pd.notna(row.get("Position")) else None,
"direction": _classify(row.get("Text")),
"shares": shares_num,
"value": value_num,
"ownership": str(row.get("Ownership")) if pd.notna(row.get("Ownership")) else None,
"text": str(row.get("Text")) if pd.notna(row.get("Text")) else None,
"transaction": str(row.get("Transaction")) if pd.notna(row.get("Transaction")) else None,
}
)
rows.sort(key=lambda r: (r.get("date") is not None, r.get("date") or ""), reverse=True)
latest_date = rows[0].get("date") if rows else None
n_rows = max(len(rows), 18)
height = 1320 + n_rows * 32
def _safe_float(val):
try:
return float(val)
except (TypeError, ValueError):
return None
current_price = info.get("currentPrice") or info.get("regularMarketPrice") or price
prev_close = info.get("previousClose")
cur_num = _safe_float(current_price)
prev_num = _safe_float(prev_close)
if cur_num is not None and prev_num is not None and prev_num > 0:
chg_pct = (cur_num - prev_num) / prev_num * 100.0
chg_sign = "+" if chg_pct >= 0 else ""
chg_arrow = "▲" if chg_pct >= 0 else "▼"
chg_str = chg_arrow + " " + chg_sign + "{:.2f}%".format(chg_pct)
chg_cls = "chg-pos" if chg_pct >= 0 else "chg-neg"
else:
chg_str = "—"
chg_cls = ""
exchange_raw = str(info.get("exchange") or "")
exchange = _XMAP.get(exchange_raw, exchange_raw) or "—"
co_name = _esc(info.get("longName") or info.get("shortName") or ticker.upper())
price_str = "${:,.2f}".format(cur_num) if cur_num is not None else "—"
meta = {"ticker": ticker.upper(), "latest_date": latest_date, "transactions": len(rows)}
rows_js = "const INSIDERS=" + _json.dumps(rows) + ";"
meta_js = "const INSIDER_META=" + _json.dumps(meta) + ";"
plotly_cdn = "<script src='https://cdn.plot.ly/plotly-2.27.0.min.js'></script>"
_ROOT = (
"<style>*,*::before,*::after{box-sizing:border-box}"
":root{"
"--ink-0:#0B0E13;--ink-1:#11151C;--ink-2:#181D26;--ink-3:#222934;--ink-4:#2C3340;"
"--line-1:#232934;--line-2:#2E3645;--line-3:#3D4658;"
"--fg-1:#F2ECDC;--fg-2:#C7C0AE;--fg-3:#8E8676;--fg-4:#5E5849;"
"--brass:#C2AA7A;--brass-bright:#DCC79E;--brass-deep:#8F7A50;--brass-ink:#17120A;"
"--oxford:#1F3D5C;--oxford-light:#2E5A87;"
"--positive:#4F8C5E;--positive-bg:#15241A;--negative:#B5494B;--negative-bg:#2A1517;"
"--warning:#C49545;--warning-bg:#2A1F0F;--info:#4A78B5;--info-bg:#11202E;"
"--font-display:'EB Garamond',Georgia,serif;"
"--font-sans:'IBM Plex Sans','Helvetica Neue',system-ui,sans-serif;"
"--font-mono:'IBM Plex Mono','SF Mono',Menlo,monospace;"
"--fs-12:0.75rem;--fs-13:0.8125rem;--fs-14:0.875rem;--fs-16:1rem;--fs-18:1.125rem;"
"--fs-20:1.25rem;--fs-24:1.5rem;--fs-30:1.875rem;--fs-38:2.375rem;"
"--tr-wider:0.12em;--tr-wide:0.04em;--tr-tight:-0.02em;"
"--sp-1:4px;--sp-2:8px;--sp-3:12px;--sp-4:16px;--sp-5:24px;--sp-6:32px;--sp-7:48px;"
"--r-1:2px;--r-2:4px;--r-3:6px;--r-full:999px;"
"--shadow-1:0 1px 3px rgba(0,0,0,0.4);"
"}"
"html,body{margin:0;padding:0;background:var(--ink-0);color:var(--fg-2);"
"font-family:var(--font-sans);font-size:14px;-webkit-font-smoothing:antialiased}"
"</style>"
)
fonts_link = (
"<link rel='preconnect' href='https://fonts.googleapis.com'>"
"<link href='https://fonts.googleapis.com/css2?family=EB+Garamond:ital,wght@0,400;0,500;1,400;1,500"
"&family=IBM+Plex+Mono:wght@300;400;500;600&family=IBM+Plex+Sans:wght@300;400;500;600&display=swap'"
" rel='stylesheet'>"
)
_IN_CSS = """<style>
.in-wrap{background:var(--ink-0);min-height:100vh}
.num{font-family:var(--font-mono);font-variant-numeric:tabular-nums}
.eyebrow-lbl{font-family:var(--font-sans);font-size:var(--fs-12);text-transform:uppercase;letter-spacing:var(--tr-wider);color:var(--fg-3);font-weight:600}
.val-ctx{display:flex;align-items:center;gap:var(--sp-4);padding:var(--sp-3) var(--sp-5);border-bottom:1px solid var(--line-1);background:var(--ink-1)}
.val-ctx .sym{font-family:var(--font-display);font-size:var(--fs-24);font-weight:500;letter-spacing:var(--tr-tight)}
.val-ctx .name{font-family:var(--font-display);font-style:italic;font-size:var(--fs-16);color:var(--fg-2);margin-left:calc(-1 * var(--sp-1));white-space:nowrap;overflow:hidden;text-overflow:ellipsis;max-width:48ch}
.val-ctx .eyebrow-ctx{font-family:var(--font-sans);font-size:var(--fs-12);text-transform:uppercase;letter-spacing:var(--tr-wider);color:var(--fg-3);font-weight:600;white-space:nowrap}
.val-ctx .meta{display:flex;gap:var(--sp-4);margin-left:auto;font-family:var(--font-mono);font-size:var(--fs-12);color:var(--fg-3)}
.val-ctx .meta span{white-space:nowrap}
.val-ctx .meta .px{color:var(--fg-1);font-size:var(--fs-14)}
.val-ctx .meta .chg-pos{color:var(--positive)}
.val-ctx .meta .chg-neg{color:var(--negative)}
.in-body{padding:var(--sp-5);display:flex;flex-direction:column;gap:var(--sp-5)}
.in-lede{display:grid;grid-template-columns:1.6fr 1fr;gap:var(--sp-5);align-items:stretch;background:var(--ink-1);border:1px solid var(--line-1);border-radius:var(--r-3);padding:var(--sp-5)}
.in-lede .left{display:flex;flex-direction:column;gap:var(--sp-2)}
.in-lede .ttl{font-family:var(--font-display);font-size:var(--fs-30);font-weight:500;letter-spacing:var(--tr-tight);line-height:1.1;color:var(--fg-1);margin:var(--sp-1) 0 0}
.in-lede .sub{font-family:var(--font-sans);font-size:var(--fs-13);color:var(--fg-2);line-height:1.55;max-width:68ch;margin:0}
.in-lede .right{display:grid;grid-template-columns:repeat(3,1fr);gap:var(--sp-3);align-content:end}
.kr-source{display:flex;flex-direction:column;gap:2px;padding:var(--sp-3) var(--sp-4);background:var(--ink-2);border:1px solid var(--line-1);border-radius:var(--r-2)}
.kr-source .lbl{font-family:var(--font-sans);font-size:10px;text-transform:uppercase;letter-spacing:var(--tr-wider);color:var(--fg-3);font-weight:600}
.kr-source .v{font-family:var(--font-mono);font-size:var(--fs-14);font-variant-numeric:tabular-nums;color:var(--fg-1);font-weight:500}
.in-controls{display:grid;grid-template-columns:1fr 1fr;gap:var(--sp-4);padding:var(--sp-3) var(--sp-4);background:var(--ink-1);border:1px solid var(--line-1);border-radius:var(--r-3)}
.ctl-group{display:flex;align-items:center;gap:var(--sp-2);flex-wrap:wrap}
.ctl-lbl{font-family:var(--font-mono);font-size:10px;letter-spacing:var(--tr-wider);text-transform:uppercase;color:var(--fg-4);margin-right:var(--sp-2)}
.ctl-btn{font-family:var(--font-sans);font-size:var(--fs-12);font-weight:500;padding:5px 14px;border-radius:var(--r-2);border:1px solid var(--line-2);background:var(--ink-2);color:var(--fg-3);cursor:pointer;letter-spacing:var(--tr-wide)}
.ctl-btn:hover{background:var(--ink-3);color:var(--fg-2)}
.ctl-btn.active{background:var(--ink-3);color:var(--brass);border-color:var(--brass-deep)}
.in-kpis{display:grid;grid-template-columns:repeat(5,1fr);gap:var(--sp-3)}
.in-kpi{background:var(--ink-1);border:1px solid var(--line-1);border-radius:var(--r-3);padding:var(--sp-3) var(--sp-4);display:flex;flex-direction:column;gap:var(--sp-1)}
.in-kpi .lbl{font-family:var(--font-mono);font-size:10px;text-transform:uppercase;letter-spacing:var(--tr-wider);color:var(--fg-4);font-weight:500}
.in-kpi .v{font-family:var(--font-mono);font-size:var(--fs-24);line-height:1.1;font-variant-numeric:tabular-nums;color:var(--fg-1)}
.in-kpi .v.pos{color:var(--positive)}
.in-kpi .v.neg{color:var(--negative)}
.in-kpi .v.neu{color:var(--fg-3)}
.in-analysis-grid{display:grid;grid-template-columns:1.25fr 1fr;gap:var(--sp-4)}
.in-card{background:var(--ink-1);border:1px solid var(--line-1);border-radius:var(--r-3);padding:var(--sp-3)}
.in-card-hd{font-family:var(--font-sans);font-size:var(--fs-12);font-weight:600;letter-spacing:var(--tr-wider);text-transform:uppercase;color:var(--fg-3);padding:0 var(--sp-1) var(--sp-2)}
#in-monthly-chart{height:308px}
.part-grid-head,.part-grid-row{display:grid;grid-template-columns:1.8fr 1.2fr 0.8fr 1fr}
.part-grid-head{border-bottom:1px solid var(--line-1)}
.part-grid-head div{padding:9px var(--sp-2);font-family:var(--font-sans);font-size:10px;text-transform:uppercase;letter-spacing:var(--tr-wider);color:var(--fg-4);font-weight:600}
.part-grid-head div:nth-child(3),.part-grid-head div:nth-child(4),.part-grid-row div:nth-child(3),.part-grid-row div:nth-child(4){text-align:right}
.part-grid-row{border-bottom:1px solid var(--line-1)}
.part-grid-row:last-child{border-bottom:none}
.part-grid-row div{padding:10px var(--sp-2);font-family:var(--font-mono);font-size:var(--fs-13);font-variant-numeric:tabular-nums;color:var(--fg-2)}
.part-grid-row .name{font-family:var(--font-sans);font-size:var(--fs-13);color:var(--fg-1)}
.part-grid-row .pos{color:var(--fg-3);font-family:var(--font-sans)}
.part-grid-row .net.pos{color:var(--positive)}
.part-grid-row .net.neg{color:var(--negative)}
.in-empty{padding:var(--sp-6);text-align:center;color:var(--fg-3);font-size:var(--fs-14);font-family:var(--font-sans)}
.in-readout{background:var(--ink-1);border:1px solid var(--line-1);border-radius:var(--r-2);padding:var(--sp-3) var(--sp-4);font-size:var(--fs-13);line-height:1.5;color:var(--fg-2)}
.in-table-card{background:var(--ink-1);border:1px solid var(--line-1);border-radius:var(--r-3);overflow:hidden}
.in-table-head{padding:var(--sp-3) var(--sp-4);border-bottom:1px solid var(--line-1);font-family:var(--font-sans);font-size:var(--fs-12);font-weight:600;letter-spacing:var(--tr-wider);text-transform:uppercase;color:var(--fg-3)}
.in-grid-head,.in-grid-row{display:grid;grid-template-columns:0.9fr 1.5fr 1.1fr 0.8fr 0.9fr 1fr 0.7fr}
.in-grid-head{background:var(--ink-2);border-bottom:1px solid var(--line-1)}
.in-grid-head div{padding:8px var(--sp-3);font-family:var(--font-sans);font-size:10px;text-transform:uppercase;letter-spacing:var(--tr-wider);color:var(--fg-4);font-weight:600}
.in-grid-head div:nth-child(5),.in-grid-head div:nth-child(6),.in-grid-row div:nth-child(5),.in-grid-row div:nth-child(6){text-align:right}
.in-grid-row{border-bottom:1px solid var(--line-1);position:relative}
.in-grid-row:last-child{border-bottom:none}
.in-grid-row.buy{border-left:3px solid var(--positive)}
.in-grid-row.sell{border-left:3px solid var(--negative)}
.in-grid-row div{padding:10px var(--sp-3);font-family:var(--font-sans);font-size:var(--fs-13);color:var(--fg-2);white-space:nowrap;overflow:hidden;text-overflow:ellipsis}
.in-grid-row .mono{font-family:var(--font-mono);font-variant-numeric:tabular-nums}
.type-badge{display:inline-flex;align-items:center;justify-content:center;padding:2px 8px;border-radius:var(--r-full);font-family:var(--font-sans);font-size:11px;font-weight:600}
.type-badge.buy{background:var(--positive-bg);color:var(--positive)}
.type-badge.sell{background:var(--negative-bg);color:var(--negative)}
.type-badge.other{background:var(--warning-bg);color:var(--warning)}
.va-foot{font-family:var(--font-sans);font-size:var(--fs-12);color:var(--fg-3);line-height:1.6;padding:var(--sp-3) var(--sp-5);border:1px solid var(--line-1);border-radius:var(--r-2);background:var(--ink-1)}
@media (max-width:1100px){
.in-lede,.in-analysis-grid{grid-template-columns:1fr}
.in-lede .right{grid-template-columns:1fr}
.in-controls{grid-template-columns:1fr}
.in-kpis{grid-template-columns:1fr 1fr}
.in-grid-head,.in-grid-row{grid-template-columns:1fr 1.4fr 1fr 0.9fr 1fr 1fr 0.8fr}
}
</style>"""
ctx_html = (
'<div class="val-ctx">'
'<span class="sym">'
+ _esc(ticker.upper())
+ "</span>"
+ '<span class="name">'
+ co_name
+ "</span>"
+ '<span class="eyebrow-ctx" style="margin-left:12px">Insiders</span>'
+ '<div class="meta">'
+ "<span>"
+ _esc(exchange)
+ "</span>"
+ '<span class="px num">'
+ price_str
+ "</span>"
+ '<span class="'
+ chg_cls
+ ' num">'
+ chg_str
+ "</span>"
+ "</div></div>"
)
lede_html = (
'<section class="in-lede">'
+ '<div class="left">'
+ '<span class="eyebrow-lbl">Ownership</span>'
+ '<div class="ttl">Who is buying, who is selling</div>'
+ '<p class="sub">Recent insider transactions for '
+ _esc(ticker.upper())
+ ", grouped by direction, month, and participant. Use the controls below to isolate buy or sell activity and inspect the underlying filings feed from Yahoo Finance via yfinance.</p>"
+ "</div>"
+ '<div class="right">'
+ '<div class="kr-source"><span class="lbl">Source</span><span class="v">yfinance</span></div>'
+ '<div class="kr-source"><span class="lbl">Window</span><span class="v">recent filings</span></div>'
+ '<div class="kr-source"><span class="lbl">Transactions</span><span class="v num">'
+ str(len(rows))
+ "</span></div>"
+ "</div></section>"
)
controls_html = (
'<div class="in-controls">'
+ '<div class="ctl-group">'
+ '<span class="ctl-lbl">Range</span>'
+ '<button class="ctl-btn active" data-range="6m" onclick="setRange(\'6m\',this)">6M</button>'
+ '<button class="ctl-btn" data-range="12m" onclick="setRange(\'12m\',this)">12M</button>'
+ '<button class="ctl-btn" data-range="all" onclick="setRange(\'all\',this)">All</button>'
+ "</div>"
+ '<div class="ctl-group">'
+ '<span class="ctl-lbl">Direction</span>'
+ '<button class="ctl-btn active" data-dir="All" onclick="setDirection(\'All\',this)">All</button>'
+ '<button class="ctl-btn" data-dir="Buy" onclick="setDirection(\'Buy\',this)">Buy</button>'
+ '<button class="ctl-btn" data-dir="Sell" onclick="setDirection(\'Sell\',this)">Sell</button>'
+ "</div>"
+ "</div>"
)
foot_html = (
'<div class="va-foot">'
+ "<span>Insider transaction data provided by Yahoo Finance via yfinance · Values reflect reported transaction value when available · Classification into Buy / Sell uses transaction text heuristics</span>"
+ "</div>"
)
js = (
"<script>"
+ rows_js
+ meta_js
+ "var activeRange='6m';var activeDirection='All';"
+ "function cssVar(n){return getComputedStyle(document.documentElement).getPropertyValue(n).trim();}"
+ "var C_POS=cssVar('--positive');var C_NEG=cssVar('--negative');var C_LINE=cssVar('--line-1');var C_FG3=cssVar('--fg-3');"
+ "function asNum(v){if(v===null||v===undefined||v==='')return null;var n=Number(v);return isFinite(n)?n:null;}"
+ "function esc(s){if(s===null||s===undefined)return '';return String(s).replace(/&/g,'&').replace(/</g,'<').replace(/>/g,'>');}"
+ "function fmtInt(v){var n=asNum(v);if(n===null)return '—';return Math.round(n).toLocaleString();}"
+ "function fmtMoney(v){var n=asNum(v);if(n===null)return '—';var a=Math.abs(n);if(a>=1e9)return (n<0?'-$':'$')+(a/1e9).toFixed(2)+'B';if(a>=1e6)return (n<0?'-$':'$')+(a/1e6).toFixed(1)+'M';if(a>=1e3)return (n<0?'-$':'$')+(a/1e3).toFixed(1)+'K';return (n<0?'-$':'$')+a.toFixed(0);}"
+ "function fmtMoneyM(v){var n=asNum(v);if(n===null)return 0;return n/1e6;}"
+ "function monthsBack(n){var d=new Date();d.setHours(0,0,0,0);d.setMonth(d.getMonth()-n);return d;}"
+ "function parseDate(s){if(!s)return null;var d=new Date(s+'T00:00:00');return isNaN(d.getTime())?null:d;}"
+ "function applyFilters(){return (INSIDERS||[]).filter(function(r){"
+ "if(activeRange!=='all'){var cutoff=monthsBack(activeRange==='6m'?6:12);var dt=parseDate(r.date);if(!dt||dt<cutoff)return false;}"
+ "if(activeDirection!=='All'&&r.direction!==activeDirection)return false;"
+ "return true;});}"
+ "function renderKPIs(rows){var bTx=0,sTx=0,bVal=0,sVal=0,bHas=false,sHas=false;"
+ "rows.forEach(function(r){var v=asNum(r.value);if(r.direction==='Buy'){bTx+=1;if(v!==null){bVal+=v;bHas=true;}}if(r.direction==='Sell'){sTx+=1;if(v!==null){sVal+=v;sHas=true;}}});"
+ "var net=(bHas||sHas)?(bVal-sVal):null;var netCls='neu';if(net!==null&&net>0)netCls='pos';if(net!==null&&net<0)netCls='neg';"
+ "var html='';"
+ "html+='<div class=\"in-kpi\"><div class=\"lbl\">Buy Transactions</div><div class=\"v\">'+bTx.toLocaleString()+'</div></div>';"
+ "html+='<div class=\"in-kpi\"><div class=\"lbl\">Buy Value</div><div class=\"v\">'+(bHas?fmtMoney(bVal):'—')+'</div></div>';"
+ "html+='<div class=\"in-kpi\"><div class=\"lbl\">Sell Transactions</div><div class=\"v\">'+sTx.toLocaleString()+'</div></div>';"
+ "html+='<div class=\"in-kpi\"><div class=\"lbl\">Sell Value</div><div class=\"v\">'+(sHas?fmtMoney(sVal):'—')+'</div></div>';"
+ "html+='<div class=\"in-kpi\"><div class=\"lbl\">Net Activity</div><div class=\"v '+netCls+'\">'+(net===null?'—':fmtMoney(net))+'</div></div>';"
+ "document.getElementById('in-kpis').innerHTML=html;}"
+ "function renderMonthlyChart(rows){if(typeof Plotly==='undefined')return;"
+ "var map={};rows.forEach(function(r){if(!r.month)return;if(!map[r.month])map[r.month]={buy:0,sell:0};var v=asNum(r.value);if(v===null)return;if(r.direction==='Buy')map[r.month].buy+=v;else if(r.direction==='Sell')map[r.month].sell+=v;});"
+ "var months=Object.keys(map).sort();var buy=[];var sell=[];"
+ "months.forEach(function(m){buy.push(fmtMoneyM(map[m].buy));sell.push(-fmtMoneyM(map[m].sell));});"
+ "var data=[{x:months,y:buy,name:'Buys',type:'bar',marker:{color:C_POS}},{x:months,y:sell,name:'Sells',type:'bar',marker:{color:C_NEG}}];"
+ "var layout={plot_bgcolor:'rgba(0,0,0,0)',paper_bgcolor:'rgba(0,0,0,0)',margin:{l:52,r:12,t:18,b:44},height:300,barmode:'relative',font:{family:'IBM Plex Mono',color:C_FG3},xaxis:{title:'Month',gridcolor:C_LINE,zerolinecolor:C_LINE},yaxis:{title:'Value ($M)',gridcolor:C_LINE,zerolinecolor:C_LINE},legend:{orientation:'h',y:-0.25,x:0}};"
+ "Plotly.react('in-monthly-chart',data,layout,{displayModeBar:false,responsive:true});}"
+ "function renderParticipants(rows){var m={};rows.forEach(function(r){var n=(r.insider||'Unknown').trim()||'Unknown';if(!m[n])m[n]={insider:n,position:r.position||'—',tx:0,buy:0,sell:0};m[n].tx+=1;var v=asNum(r.value);if(v!==null){if(r.direction==='Buy')m[n].buy+=v;else if(r.direction==='Sell')m[n].sell+=v;}});"
+ "var arr=Object.keys(m).map(function(k){var o=m[k];o.net=o.buy-o.sell;o.abs=Math.abs(o.net);return o;});"
+ "arr.sort(function(a,b){if(b.abs!==a.abs)return b.abs-a.abs;return b.tx-a.tx;});arr=arr.slice(0,8);"
+ "var head='<div class=\"part-grid-head\"><div>Insider</div><div>Position</div><div>Txns</div><div>Net Value</div></div>';"
+ "if(!arr.length){document.getElementById('in-participants').innerHTML=head+'<div class=\"in-empty\">No participant rows for current filters.</div>';return;}"
+ "var body='';arr.forEach(function(r){var cls=r.net>0?'pos':(r.net<0?'neg':'');body+='<div class=\"part-grid-row\">';"
+ "body+='<div class=\"name\">'+esc(r.insider)+'</div>';"
+ "body+='<div class=\"pos\">'+esc(r.position||'—')+'</div>';"
+ "body+='<div>'+String(r.tx)+'</div>';"
+ "body+='<div class=\"net '+cls+'\">'+fmtMoney(r.net)+'</div>';"
+ "body+='</div>';});"
+ "document.getElementById('in-participants').innerHTML=head+body;}"
+ "function renderReadout(rows){var buyTx=0,sellTx=0,buyVal=0,sellVal=0,buySet={};var latest=null;"
+ "rows.forEach(function(r){if(r.direction==='Buy'){buyTx+=1;if(r.insider)buySet[r.insider]=1;var bv=asNum(r.value);if(bv!==null)buyVal+=bv;}if(r.direction==='Sell'){sellTx+=1;var sv=asNum(r.value);if(sv!==null)sellVal+=sv;}if(r.date&&(latest===null||r.date>latest))latest=r.date;});"
+ "var msg1='Activity appears mixed across the selected filters.';"
+ "if(sellVal>buyVal){msg1='Sell activity dominated by '+fmtMoney(sellVal-buyVal)+' across '+sellTx+' filings.';}"
+ "else if(buyVal>sellVal){msg1='Buy activity dominated by '+fmtMoney(buyVal-sellVal)+' across '+buyTx+' filings.';}"
+ "var msg2='Buying activity was concentrated in '+Object.keys(buySet).length+' participants.';"
+ "var msg3='Most recent filing: '+(latest||INSIDER_META.latest_date||'—')+'.';"
+ "document.getElementById('in-readout').innerHTML=esc(msg1)+' · '+esc(msg2)+' · '+esc(msg3);}"
+ "function renderTable(rows){var head='<div class=\"in-table-head\">Recent transactions</div><div class=\"in-grid-head\"><div>Date</div><div>Insider</div><div>Position</div><div>Type</div><div>Shares</div><div>Value</div><div>Ownership</div></div>';"
+ "if(!rows.length){document.getElementById('in-table').innerHTML=head+'<div class=\"in-empty\">No transactions match current filters.</div>';return;}"
+ "var body='';rows.forEach(function(r){var dir=r.direction||'Other';var rowCls=(dir==='Buy'?' buy':(dir==='Sell'?' sell':''));var badgeCls=(dir==='Buy'?'buy':(dir==='Sell'?'sell':'other'));"
+ "body+='<div class=\"in-grid-row'+rowCls+'\">';"
+ "body+='<div class=\"mono\">'+esc(r.date||'—')+'</div>';"
+ "body+='<div>'+esc(r.insider||'—')+'</div>';"
+ "body+='<div>'+esc(r.position||'—')+'</div>';"
+ "body+='<div><span class=\"type-badge '+badgeCls+'\">'+esc(dir)+'</span></div>';"
+ "body+='<div class=\"mono\">'+fmtInt(r.shares)+'</div>';"
+ "body+='<div class=\"mono\">'+(asNum(r.value)===null?'—':fmtMoney(asNum(r.value)))+'</div>';"
+ "body+='<div class=\"mono\">'+esc(r.ownership||'—')+'</div>';"
+ "body+='</div>';});"
+ "document.getElementById('in-table').innerHTML=head+body;}"
+ "function refreshAll(){var filtered=applyFilters();renderKPIs(filtered);renderMonthlyChart(filtered);renderParticipants(filtered);renderReadout(filtered);renderTable(filtered);}"
+ "function setRange(range,btn){activeRange=range;document.querySelectorAll('.ctl-btn[data-range]').forEach(function(b){b.classList.remove('active');});if(btn)btn.classList.add('active');refreshAll();}"
+ "function setDirection(direction,btn){activeDirection=direction;document.querySelectorAll('.ctl-btn[data-dir]').forEach(function(b){b.classList.remove('active');});if(btn)btn.classList.add('active');refreshAll();}"
+ "function bootInsiders(){refreshAll();if(typeof Plotly==='undefined'){setTimeout(refreshAll,350);setTimeout(refreshAll,950);}}"
+ "if(document.readyState==='loading'){document.addEventListener('DOMContentLoaded',bootInsiders);}else{bootInsiders();}"
+ "</script>"
)
doc = (
"<!doctype html><html><head><meta charset='utf-8'>"
+ plotly_cdn
+ fonts_link
+ _ROOT
+ _IN_CSS
+ "</head><body><div class='in-wrap'>"
+ ctx_html
+ '<div class="in-body">'
+ lede_html
+ controls_html
+ '<div id="in-kpis" class="in-kpis"></div>'
+ '<div class="in-analysis-grid">'
+ '<div class="in-card"><div class="in-card-hd">Monthly net activity</div><div id="in-monthly-chart"></div></div>'
+ '<div class="in-card"><div class="in-card-hd">Top participants</div><div id="in-participants"></div></div>'
+ "</div>"
+ '<div id="in-readout" class="in-readout"></div>'
+ '<div class="in-table-card"><div id="in-table"></div></div>'
+ foot_html
+ "</div></div>"
+ js
+ "</body></html>"
)
components.html(doc, height=height, scrolling=False)
|