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"end_time": "2018-07-19T19:43:17.835576Z",
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"outputs": [
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"name": "stdout",
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"text": [
"Installing requirements ..\n",
"Done\n"
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"source": [
"%run \"Retropy_framework.ipynb\""
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"text": [
"/home/user/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2698: DtypeWarning:\n",
"\n",
"Columns (4,13) have mixed types. Specify dtype option on import or set low_memory=False.\n",
"\n"
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"source": [
"mdf = pd.read_csv(\"Research/GemelNet.csv\")\n",
"mdf[\"month_return\"] = mdf[\"month_return\"].astype(str)\n",
"mdf[\"month\"] = pd.to_datetime(mdf[\"month\"], format=\"%Y/%m/%d\")\n",
"mdf[\"month_return\"] = pd.to_numeric(mdf[\"month_return\"].str.replace(\"%\", \"\"), errors=\"coerce\")"
]
},
{
"cell_type": "code",
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"end_time": "2018-07-18T10:26:20.123781Z",
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"#mdf = mdf.set_index(\"month\")\n",
"\n",
"def getValue(df):\n",
" df = df.set_index(\"month\")\n",
" ser = df[\"month_return\"].dropna().copy()\n",
" if len(ser) == 0:\n",
" return pd.Series()\n",
" prevMonth = ser.index[0] + pd.DateOffset(months=-1)\n",
" ser[prevMonth] = 0 # we want the serie sto start at 1.0\n",
" ser = ser.sort_index()\n",
" ser.index = ser.index + pd.DateOffset(months=1)\n",
" return (1+ser.dropna()/100).cumprod()\n",
"\n",
"#sym = mdf[mdf[\"ID\"] == 1544]\n",
"#ym[\"month_return\"]\n",
"#getValue(sym).plot()\n",
"\n",
"def getKeren(id):\n",
" df = mdf[mdf[\"ID\"] == id]\n",
" name = str(id) + \" | \" + df.iloc[0][\"name\"]\n",
" s = getValue(df)\n",
" usdils = getForex(\"USD\", \"ILS\")\n",
" s = (s/usdils).dropna()\n",
" if len(s) > 0:\n",
" s = s / s[0]\n",
" return wrap(s, name)\n",
" "
]
},
{
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"metadata": {},
"source": [
"### השוואה של קרן השתלמות מחקה ממדי חול איי-בי-איי למדדי חול"
]
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""
],
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""
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"source": [
"s = getKeren(1544)\n",
"bench = get(\"URTH\")\n",
"bench = wrap(get(\"SPY:50|VGK:30|EEM:13|EWJ:7\", mode=\"NTR\"), \"ntr\")\n",
"benchTR = get(\"SPY:50|VGK:30|EEM:13|EWJ:7\", mode=\"TR\")\n",
"vt = get(\"VT\", mode=\"NTR\")\n",
"show(s / bench, s, bench, vt, trim=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### השוואה של קרן השתלמות מחקה סנופי איי-בי-איי לסנופי"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-18T10:30:53.396940Z",
"start_time": "2018-07-18T10:30:53.192529Z"
}
},
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{
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"source": [
"s = getKeren(2265)\n",
"bench = get(\"SPXNTR@IC\")\n",
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{
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"source": [
"### כל קרנות ההשתלמות מגמל.נט"
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"2048 | *** מגדל השתלמות הלכה\n",
"1537 | אינפיניטי השתלמות מניות בחו\"ל\n",
"8704 | \"אינטרגמל השתלמות\"-מדד \"תל בונד 20\"\n",
"8705 | \"אינטרגמל השתלמות\"-מסלול מזומנים ושווי מזומנים\n",
"1542 | אקסלנס השתלמות בניהול אישי\n",
"2055 | *** מיטב דש השתלמות חו\"ל\n",
"1544 | *** אי.בי.אי השתלמות פאסיבי - מדדי מניות חו\"ל\n",
"1034 | *** הראל השתלמות מסלול חו\"ל\n",
"2058 | הלמן-אלדובי השתלמות שריעה\n",
"1038 | ילין לפידות קרן השתלמות מסלול אג\"ח עד 25% מניות\n",
"7703 | אנליסט השתלמות כללי פאסיבי\n",
"2041 | ** מורים תיכוניים - מסלול הלכה\n",
"1059 | *** פסגות שיא השתלמות פאסיבי-כללי\n",
"554 | *** מיטב דש השתלמות עד 6 שנות וותק\n",
"2091 | *** אקסלנס השתלמות אג\"ח עד 20% מניות\n",
"558 | *** אלטשולר שחם השתלמות אג\"ח עד 15% במניות\n",
"2100 | אי.בי.אי השתלמות בניהול אישי\n",
"566 | *** הראל השתלמות לטווח ארוך\n",
"(מסלול לאוכלוסיית יעד) \n",
"8761 | הראל השתלמות IRA IRA\n",
"1083 | אינפיניטי השתלמות כללי\n",
"1084 | אינפיניטי השתלמות אג\"ח\n",
"1085 | אינפיניטי השתלמות מניות בישראל\n",
"2114 | אינפיניטי השתלמות IRA בניהול אישי\n",
"579 | *** מגדל השתלמות כללי\n",
"580 | ** שיבולת - השתלמות\n",
"1093 | *** אלטשולר שחם השתלמות כללי\n",
"2115 | כלל השתלמות אג\"ח\n",
"9802 | ** אומגה קרן השתלמות אג\"ח עד 15% מניות\n",
"8779 | אנליסט השתלמות חו\"ל\n",
"1100 | *** אקסלנס השתלמות אג\"ח עד 15% מניות\n",
"9803 | ** אומגה קרן השתלמות אג\"ח עד 25% מניות\n",
"7253 | מגדל השתלמות לבני 50 ומטה\n",
"1110 | *** מנורה השתלמות אג\"ח קונצרני\n",
"599 | *** מגדל השתלמות אג\"ח עד 10% מניות\n",
"7254 | מגדל השתלמות לבני 50 עד 60\n",
"7256 | מגדל השתלמות פאסיבי כללי\n",
"1114 | *** מנורה השתלמות שקלי לטווח קצר\n",
"610 | *** פסגות שיא השתלמות אג\"ח\n",
"611 | *** פסגות שיא השתלמות כספי\n",
"612 | *** פסגות שיא השתלמות מניות\n",
"11929 | קל השתלמות מניות מניות \n",
"11931 | קל השתלמות מניות פאסיבי\n",
"1149 | *** מנורה השתלמות אג\"ח עד 10% מניות\n",
"132 | *** הלמן-אלדובי השתלמות כללי\n",
"1157 | *** מגדל השתלמות ביג כללי לפחות 30% מניות\n",
"1162 | ילין לפידות קרן השתלמות מסלול כללי\n",
"7819 | אי.בי.אי השתלמות פאסיבי - כללי\n",
"9869 | הלמן-אלדובי השתלמות פאסיבי -כללי\n",
"9870 | הלמן-אלדובי השתלמות חו\"ל\n",
"9871 | הלמן-אלדובי השתלמות ישראל\n",
"11408 | מנורה מבטחים השתלמות פאסיבי כללי\n",
"11409 | מנורה מבטחים השתלמות פאסיבי אג\"ח עד 15% במניות\n",
"8339 | ** מסלול - אג\"ח\n",
"12435 | ** השתלמות רופאים מניות \n",
"11414 | עובדי המדינה הלכתי הלכה יהודית\n",
"11926 | קל השתלמות כללי\n",
"11928 | קל השתלמות אג\"ח אג\"ח\n",
"11927 | קל השתלמות כללי פאסיבי\n",
"154 | הראל השתלמות כללי\n",
"9882 | אקסלנס השתלמות אג\"ח עד 10% מניות\n",
"11930 | קל השתלמות אג\"ח פאסיבי\n",
"11933 | קל השתלמות מדד אג\"ח ישראל\n",
"1182 | ** קרן השתלמות של עובדי האוניברסיטה העברית\n",
"1183 | *** פסגות שיא השתלמות ישראל\n",
"11935 | קל השתלמות אג\"ח צמוד מדד בינוני\n",
"11936 | קל השתלמות חו\"ל חו\"ל\n",
"11937 | קל השתלמות חו\"ל פאסיבי\n",
"11934 | קל השתלמות מדד חו\"ל\n",
"11932 | קל השתלמות מדד מניות ישראל\n",
"1190 | *** אקסלנס השתלמות אג\"ח עד 25% מניות\n",
"686 | *** אקסלנס השתלמות לטווח קצר\n",
"1202 | *** אי.בי.אי השתלמות אג\"ח ללא מניות\n",
"1203 | אי.בי.אי קרן השתלמות מסלול אג\"ח עד 10% מניות\n",
"1204 | *** אי.בי.אי השתלמות כללי\n",
"1205 | *** אי.בי.אי השתלמות מניות\n",
"8885 | מיטב דש השתלמות אג\"ח עד 25% במניות\n",
"11957 | אינפיניטי השתלמות אג\"ח עד 25% מניות\n",
"1210 | אינפיניטי השתלמותאג\"ח ממשלת ישראל\n",
"8891 | ** רעות אג\"ח עד 10% במניות\n",
"2236 | איי.אר.איי ישראל השתלמות בניהול אישי\n",
"8890 | מגדל השתלמות בניהול אישי IRA\n",
"8382 | ** מסלול מישור אג\"ח \n",
"9919 | אקסלנס השתלמות פאסיבי- מדדי חו\"ל\n",
"1218 | *** פסגות שיא השתלמות כללי\n",
"2244 | פסגות שיא השתלמות חו\"ל\n",
"199 | *** מגדל השתלמות אג\"ח\n",
"8394 | ** מורים על יסודי מסלול הלכה\n",
"715 | *** אקסלנס השתלמות שקלי טווח קצר\n",
"716 | *** אקסלנס השתלמות אג\"ח ללא מניות\n",
"2252 | אינפיניטי השתלמות אג\"ח עד 15% מניות\n",
"2254 | אינפיניטי השתלמות לחוסכים מוטי סיכון\n",
"8395 | ** מישור מסלול הלכה\n",
"1240 | *** מיטב דש השתלמות אג\"ח ללא מניות\n",
"2264 | *** אי.בי.אי השתלמות מחקה מדד ת\"א 35\n",
"2265 | אי.בי.אי השתלמות מחקה מדד S&P500\n",
"2270 | אי.בי.אי השתלמות פאסיבי משולב עד 10% מניות\n",
"2271 | אי.בי.אי השתלמות פאסיבי משולב עד 25% מניות\n",
"736 | *** הלמן-אלדובי השתלמות אג\"ח\n",
"737 | *** הלמן-אלדובי השתלמות שקלי\n",
"738 | *** הלמן-אלדובי השתלמות מניות\n",
"1256 | *** מנורה השתלמות-מניות\n",
"1257 | ** רום רביד אג\"ח ללא מניות\n",
"1258 | ** רום ספיר מניות\n",
"9451 | אינטרגמל השתלמות -מניות S&P500\n",
"1262 | ** מינהל - השתלמות - מניות\n",
"763 | הראל השתלמות מסלול מניות\n",
"764 | הראל השתלמות אג\"ח עד 10% מניות \n",
"768 | *** מיטב דש השתלמות כהלכה\n",
"8702 | \"אינטרגמל השתלמות\"-אג\"ח ממשלת ישראל, צמוד מדד לטווח של 5-10 שנים\n",
"9479 | עובדי מדינה - מניות\n",
"1290 | אלטשולר שחם השתלמות כללי ב'\n",
"8703 | \"אינטרגמל השתלמות\"-אג\"ח ממשלתי שקלי בריבית קבועה\n",
"282 | ** מישור\n",
"284 | ** מורים וגננות - מסלול כללי\n",
"285 | ** מורים תיכוניים - מסלול כללי\n",
"286 | ** אומגה קרן השתלמות מסלול כללי\n",
"797 | *** אקסלנס השתלמות מניות\n",
"288 | ** קרן השתלמות לאקדמאים במדעי החברה והרוח מסלול כללי\n",
"289 | ** קרן השתלמות לעובדי בנק ישראל\n",
"290 | ** הנדסאים וטכנאים - מסלול כללי\n",
"1820 | ** ק.ס.מ אג\"ח \n",
"292 | ** השתלמות משפטנים\n",
"293 | ** ק.ס.מ\n",
"294 | ** השתלמות שופטים\n",
"295 | ** ק.ה.ר\n",
"1318 | ** הנדסאים וטכנאים - מסלול מניות\n",
"1316 | ** רעות - אג\"ח ללא מניות\n",
"1317 | ** רעות מניות \n",
"299 | ** מינהל-השתלמות - כללי\n",
"1319 | ילין לפידות קרן השתלמות מסלול אג\"ח\n",
"9528 | אקסלנס השתלמות הלכה\n",
"828 | *** מנורה מבטחים השתלמות כללי\n",
"1348 | כלל השתלמות אג\"ח צמוד מדד\n",
"1861 | מנורה מבטחים השתלמות טווח ארוך\n",
"1350 | כלל השתלמות מניות\n",
"1351 | כלל השתלמות שקלי טווח קצר\n",
"1353 | *** מיטב דש השתלמות מעל 6 שנות וותק \n",
"1354 | *** הפניקס השתלמות - מסלול אג\"ח\n",
"9545 | הפניקס השתלמות - מסלול פאסיבי - מדדי אג\"ח \n",
"9546 | הפניקס השתלמות - מסלול פאסיבי - מדדי אג\"ח חו\"ל \n",
"9549 | הפניקס השתלמות - מסלול מתמחה שקלי טווח קצר \n",
"9548 | הפניקס השתלמות - מסלול פאסיבי- מדדי מניות חו\"ל \n",
"9547 | הפניקס השתלמות מסלול פאסיבי - מדדי מניות \n",
"1361 | ילין לפידות קרן השתלמות מסלול אג\"ח ממשלת ישראל\n",
"1367 | הלמן-אלדובי השתלמות אג\"ח עד 15% במניות\n",
"1369 | הראל השתלמות מסלול שקלי\n",
"1370 | *** מיטב דש השתלמות שקלי טווח קצר\n",
"864 | *** מגדל השתלמות שקלי טווח קצר\n",
"865 | *** מגדל השתלמות אג\"ח ממשלתי ישראלי\n",
"1378 | *** אלטשולר שחם השתלמות אג\"ח ללא מניות\n",
"1377 | *** אלטשולר שחם השתלמות מניות\n",
"868 | *** מגדל השתלמות חו\"ל\n",
"869 | *** מגדל השתלמות מניות\n",
"9568 | הראל השתלמות כללי פאסיבי \n",
"1384 | ** הנדסאים וטכנאים מסלול אג\"ח\n",
"1385 | ** מינהל - השתלמות - אג\"ח\n",
"1387 | *** מיטב דש השתלמות אג\"ח ממשלת ישראל\n",
"880 | *** מיטב דש השתלמות כללי\n",
"881 | *** מיטב דש השתלמות אג\"ח צמוד מדד\n",
"883 | *** מיטב דש השתלמות מניות\n",
"8563 | ילין לפידות קרן השתלמות מסלול מניות\n",
"1398 | אלטשולר שחם השתלמות כספי\n",
"1399 | אלטשולר שחם השתלמות אג\"ח ממשלות\n",
"378 | ** ק.ל.ע מסלול כללי\n",
"8058 | *** הראל השתלמות אג\"ח קונצרני \n",
"1404 | ** עובדי המדינה - אג\"ח ממשלת ישראל\n",
"382 | ** עובדי מדינה - כללי\n",
"1408 | *** מנורה השתלמות-אג\"ח ממשלת ישראל\n",
"1409 | מנורה מבטחים השתלמות-מניות חו\"ל\n",
"1410 | ** קרן החיסכון לצבא הקבע מסלול אג\"ח ללא מניות\n",
"1411 | ** קרן החיסכון לצבא הקבע מניות\n",
"392 | ** רעות-כללי\n",
"394 | ** קרן השתלמות עוצ\"מ\n",
"395 | *** הלמן-אלדובי השתלמות אג\"ח עד 25% במניות\n",
"396 | *** פסגות שיא השתלמות כללי\n",
"1424 | *** פסגות שיא השתלמות אגח עד 10% מניות\n",
"1429 | *** פסגות שיא השתלמות אג\"ח ממשלת ישראל\n",
"1430 | ** רעות שיקלי\n",
"8597 | *** הפניקס השתלמות - מסלול אג\"ח עד 25% מניות\n",
"408 | ** רום קרן השתלמות לעובדי רשויות מקומיות - קלאסי כללי\n",
"1433 | ** ק.ל.ע מסלול אג\"ח עד 25% מניות\n",
"416 | *** הראל השתלמות אג\"ח עד 20% מניות \n",
"418 | ** אחים ואחיות - מסלול כללי\n",
"419 | ** השתלמות רופאים כללי\n",
"420 | ** פ.ר.ח - כללי\n",
"1443 | *** אי.בי.אי השתלמות פאסיבי - מדדי אג\"ח ממשלת ישראל\n",
"1445 | ** אומגה קרן השתלמות מסלול אג\"ח\n",
"423 | ** קרן השתלמות עובדי חברת חשמל\n",
"1446 | ** אומגה קרן השתלמות מסלול מניות\n",
"1451 | ** קרן השתלמות לאקדמאים במדעי החברה והרוח מסלול אג\"ח\n",
"1452 | ** קרן השתלמות לאקדמאים במדעי החברה והרוח מסלול מניות\n",
"1454 | ** השתלמות משפטנים מנייתי\n",
"1455 | ** השתלמות משפטנים ללא מניות\n",
"1456 | ** אחים ואחיות - מסלול ללא מניות\n",
"8628 | אקסלנס השתלמות פאסיבי-מדדי אג\"ח עד 25% במדדי מניות\n",
"8629 | *** אקסלנס השתלמות פאסיבי - כללי\n",
"438 | ** קרן החיסכון לצבא הקבע כללי\n",
"8631 | *** אקסלנס השתלמות פאסיבי-מדדי אג\"ח\n",
"8630 | *** אקסלנס השתלמות פאסיבי-מדדי מניות \n",
"9662 | מנורה השתלמות אג\"ח עד 20% מניות\n",
"1471 | ** פ.ר.ח - אג\"ח ללא מניות\n",
"1472 | ** השתלמות רופאים אג\"ח ממשלת ישראל\n",
"8129 | אנליסט השתלמות כללי אג\"ח עד 10% מניות\n",
"962 | *** אנליסט השתלמות כללי \n",
"963 | אנליסט השתלמות מניות\n",
"964 | *** אקסלנס השתלמות כללי\n",
"456 | *** כלל השתלמות כללי\n",
"968 | *** אקסלנס השתלמות מניות\n",
"1821 | ** ק.ס.מ מניות \n",
"1483 | *** הפניקס השתלמות -שיטת הפניקס\n",
"972 | אנליסט השתלמות אג\"ח\n",
"973 | אנליסט השתלמות אג\"ח ממשלת ישראל\n",
"1485 | הראל השתלמות אג\"ח ללא מניות \n",
"1487 | מיטב השתלמות בניהול אישי\n",
"9676 | אינטרגמל השתלמות מעורב מחקה מדדים\n",
"1489 | הלמן-אלדובי השתלמות בניהול אישי\n",
"1491 | אינפיניטי השתלמות אג\"ח קונצרני\n",
"7635 | ** עובדי מדינה - משולב-אג\"ח עד 15 אחוז מניות\n",
"470 | מגדל השתלמות לבני 60 ומעלה\n",
"12256 | אלטשולר שחם השתלמות הלכה\n",
"481 | מיטב דש השתלמות כללי פאסיבי\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"482 | ** מורים על יסודי\n",
"2018 | *** פסגות שיא השתלמות הלכה\n",
"484 | ** מורים וגננות - מסלול כללי\n",
"485 | ** מורים תיכוניים - מסלול כללי\n",
"8679 | אנליסט השתלמות אג\"ח עד 20% במניות\n",
"2024 | הפניקס השתלמות בניהול אישי\n",
"1515 | פסגות השתלמות בניהול אישי\n",
"1523 | *** הראל השתלמות מסלול כהלכה\n",
"2036 | ** מורים וגננות - מסלול אג\"ח\n",
"2035 | ** מורים וגננות - מסלול הלכה\n",
"2038 | ** מורים תיכוניים - מסלול אג\"ח\n",
"2039 | ** מורים וגננות - מסלול הלכה\n",
"2040 | ** מורים וגננות - מסלול אג\"ח\n",
"2037 | ** מורים תיכוניים - מסלול הלכה\n",
"2042 | ** מורים תיכוניים - מסלול אג\"ח\n",
"8701 | \"אינטרגמל השתלמות\"-מדד \"מניות תל אביב 35\"\n",
"1534 | כלל השתלמות הלכה\n",
"1535 | אנליסט השתלמות שקלי טווח קצר\n"
]
}
],
"source": [
"allKranotIDs = set(mdf.loc[mdf[\"type\"]==\"קרן השתלמות\", \"ID\"].values)\n",
"allKranot = []\n",
"for id in allKranotIDs:\n",
" keren = getKeren(id)\n",
" allKranot.append(keren)\n",
" print(keren.name)\n",
"allKranot = [s for s in allKranot if len(s.s) > 0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### השוואה של כל קרנות ההשתלמות במסלול כללי לתיק 60\\40 פשוט"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-18T10:32:49.298358Z",
"start_time": "2018-07-18T10:32:49.294420Z"
},
"collapsed": true
},
"outputs": [],
"source": [
"def getMedianSer(lst):\n",
" df = pd.DataFrame([s.s for s in lst]).T\n",
" return wrap(df.median(axis=1), \"median\")"
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-19T18:43:50.052416Z",
"start_time": "2018-07-19T18:43:50.042206Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"['1204 | *** אי.בי.אי השתלמות כללי',\n",
" '1083 | אינפיניטי השתלמות כללי',\n",
" '1093 | *** אלטשולר שחם השתלמות כללי',\n",
" \"1290 | אלטשולר שחם השתלמות כללי ב'\",\n",
" '962 | *** אנליסט השתלמות כללי ',\n",
" '964 | *** אקסלנס השתלמות כללי',\n",
" '132 | *** הלמן-אלדובי השתלמות כללי',\n",
" '154 | הראל השתלמות כללי',\n",
" '1162 | ילין לפידות קרן השתלמות מסלול כללי',\n",
" '456 | *** כלל השתלמות כללי',\n",
" '579 | *** מגדל השתלמות כללי',\n",
" '1157 | *** מגדל השתלמות ביג כללי לפחות 30% מניות',\n",
" '880 | *** מיטב דש השתלמות כללי',\n",
" '828 | *** מנורה מבטחים השתלמות כללי',\n",
" '1059 | *** פסגות שיא השתלמות פאסיבי-כללי',\n",
" '1218 | *** פסגות שיא השתלמות כללי',\n",
" '396 | *** פסגות שיא השתלמות כללי']"
]
},
"execution_count": 107,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lst = [s for s in allKranot if s.index[0].year < 2010 and \"כללי\" in s.name]\n",
"lst = [s for s in lst if not \" ** \" in s.name] # exclude exclusive funds for specific sectors\n",
"lst = sorted(lst, key=lambda s: s.name.split(\"|\")[1].strip(\" *\").split(\" \")[0])\n",
"[s.name for s in lst]"
]
},
{
"cell_type": "code",
"execution_count": 268,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-19T19:53:11.614963Z",
"start_time": "2018-07-19T19:53:08.904543Z"
}
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"data": [
{
"name": "1204 | *** אי.בי.אי השתלמות כללי",
"type": "scatter",
"x": [
"2008-07-01",
"2008-08-01",
"2008-09-01",
"2008-10-01",
"2008-11-01",
"2008-12-01",
"2009-01-01",
"2009-03-01",
"2009-04-01",
"2009-05-01",
"2009-06-01",
"2009-07-01",
"2009-08-01",
"2009-09-01",
"2009-10-01",
"2009-11-01",
"2009-12-01",
"2010-01-01",
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"base = get(\"VT:60|VFITX:40\", mode=\"NTR\")\n",
"basem = bom(base)\n",
"\n",
"lst = [s.dropna() for s in lst]\n",
"medianSer = getMedianSer(lst)\n",
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},
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6+nqSJJObJuedF77zYNhpac9VF1yVEfUjqjw1/GxiDwAAADXh9gfuydfXfCXd5bY0FGNz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\nOUd6/SctvGFKv62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UNndWdKxIT19PRtSPSHtLe7583Zczf/L8zGyemRH1I6o9LgCD7P61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\nQEeEPQAAAAAdEfYAAAAAdOT/ALxwhQRtjThZAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"allbases = mix(\"VT\", \"VFITX\", n=10, mode=\"NTR\")\n",
"allbases = list(map(bom, allbases))\n",
"allbases = trimBy(allbases, shown)\n",
"\n",
"showRiskReturn(shown + allbases) \n",
"showRiskReturn(allbases, setlim=False, lines=True, color=\"green\")\n",
"showRiskReturn([allbases[6]], setlim=False, lines=True, color=\"red\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### השוואה של כל קרנות ההשתלמות במסלול כללי לתיק 60\\40 פשוט - השוואה יחסית בין הקרנות"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"ExecuteTime": {
"end_time": "2018-07-19T18:20:04.304627Z",
"start_time": "2018-07-19T18:20:04.097079Z"
}
},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"data": [
{
"name": "1059 | *** פסגות שיא השתלמות פאסיבי-כללי / median",
"type": "scatter",
"x": [
"2008-07-01",
"2008-08-01",
"2008-09-01",
"2008-10-01",
"2008-11-01",
"2008-12-01",
"2009-01-01",
"2009-03-01",
"2009-04-01",
"2009-05-01",
"2009-06-01",
"2009-07-01",
"2009-08-01",
"2009-09-01",
"2009-10-01",
"2009-11-01",
"2009-12-01",
"2010-01-01",
"2010-02-01",
"2010-03-01",
"2010-04-01",
"2010-05-01",
"2010-06-01",
"2010-07-01",
"2010-08-01",
"2010-09-01",
"2010-10-01",
"2010-11-01",
"2010-12-01",
"2011-01-01",
"2011-02-01",
"2011-03-01",
"2011-04-01",
"2011-05-01",
"2011-06-01",
"2011-07-01",
"2011-08-01",
"2011-09-01",
"2011-10-01",
"2011-11-01",
"2011-12-01",
"2012-01-01",
"2012-02-01",
"2012-03-01",
"2012-04-01",
"2012-05-01",
"2012-06-01",
"2012-07-01",
"2012-08-01",
"2012-09-01",
"2012-10-01",
"2012-11-01",
"2012-12-01",
"2013-01-01",
"2013-02-01",
"2013-03-01",
"2013-04-01",
"2013-05-01",
"2013-06-01",
"2013-07-01",
"2013-08-01",
"2013-09-01",
"2013-10-01",
"2013-11-01",
"2013-12-01",
"2014-01-01",
"2014-02-01",
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"source": [
"lst = [s / s[0] for s in lst]\n",
"finals = [(s, s[-1]) for s in lst]\n",
"finals = sorted(finals, key=lambda x: x[1])\n",
"medianSer = finals[len(finals) // 2][0]\n",
"medianSer = getMedianSer(lst)\n",
"lst2 = [s / medianSer for s in lst]\n",
"\n",
"show(*lst2, base, ta=True, legend=False)"
]
},
{
"cell_type": "code",
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"metadata": {
"ExecuteTime": {
"start_time": "2018-07-19T19:59:08.578Z"
}
},
"outputs": [],
"source": [
"# be sure to save before you publish\n",
"# when done, you will get a public link to an HTML file with the results\n",
"publish()"
]
}
],
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