ml-finance-python
python scripts for finance machine learning
git clone https://9o.is/git/ml-finance-python.git
notebook.ipynb
(282306B)
1 {
2 "cells": [
3 {
4 "cell_type": "markdown",
5 "metadata": {
6 "deletable": true,
7 "editable": true
8 },
9 "source": [
10 "#Exercises: Universe Selection - Answer Key\n",
11 "\n",
12 "## Lecture Link\n",
13 "\n",
14 "This exercise notebook refers to this lecture. Please use the lecture for explanations and sample code.\n",
15 "\n",
16 "https://www.quantopian.com/lectures#Universe-Selection\n",
17 "\n",
18 "Part of the Quantopian Lecture Series:\n",
19 "\n",
20 "* [www.quantopian.com/lectures](https://www.quantopian.com/lectures)\n",
21 "* [github.com/quantopian/research_public](https://github.com/quantopian/research_public)"
22 ]
23 },
24 {
25 "cell_type": "code",
26 "execution_count": 1,
27 "metadata": {
28 "collapsed": true,
29 "deletable": true,
30 "editable": true
31 },
32 "outputs": [],
33 "source": [
34 "import numpy as np\n",
35 "import pandas as pd\n",
36 "import matplotlib.pyplot as plt\n",
37 "from quantopian.pipeline.classifiers.morningstar import Sector\n",
38 "from quantopian.pipeline import Pipeline\n",
39 "from quantopian.pipeline.data.builtin import USEquityPricing\n",
40 "from quantopian.pipeline.filters import QTradableStocksUS, AtLeastN\n",
41 "from quantopian.research import run_pipeline\n",
42 "from quantopian.pipeline.data import morningstar\n",
43 "from quantopian.pipeline.factors import CustomFactor, AverageDollarVolume"
44 ]
45 },
46 {
47 "cell_type": "markdown",
48 "metadata": {
49 "deletable": true,
50 "editable": true
51 },
52 "source": [
53 "## Helper Functions"
54 ]
55 },
56 {
57 "cell_type": "code",
58 "execution_count": 2,
59 "metadata": {
60 "collapsed": true,
61 "deletable": true,
62 "editable": true
63 },
64 "outputs": [],
65 "source": [
66 "def calculate_daily_turnover(unstacked):\n",
67 " return (unstacked\n",
68 " .diff() # Get True/False showing where values changed from previous day.\n",
69 " .iloc[1:] # Drop first row, which is meaningless after diff().\n",
70 " .astype(bool) # diff() coerces from bool -> object :(. Undo that.\n",
71 " .groupby(axis=1, level=0) \n",
72 " .sum()) "
73 ]
74 },
75 {
76 "cell_type": "markdown",
77 "metadata": {
78 "deletable": true,
79 "editable": true
80 },
81 "source": [
82 "#Exercise 1: Examining the QTradableStocksUS Universe\n",
83 "\n",
84 "##a. Initializing the Universe\n",
85 "\n",
86 "Set the QTradableStocksUS as your universe by using the `QTradableStocksUS()` function."
87 ]
88 },
89 {
90 "cell_type": "code",
91 "execution_count": 3,
92 "metadata": {
93 "collapsed": true,
94 "deletable": true,
95 "editable": true
96 },
97 "outputs": [],
98 "source": [
99 "# Your code goes here\n",
100 "\n",
101 "universe = QTradableStocksUS()"
102 ]
103 },
104 {
105 "cell_type": "markdown",
106 "metadata": {
107 "deletable": true,
108 "editable": true
109 },
110 "source": [
111 "## b. Finding Asset Composition\n",
112 "\n",
113 "Use the pipeline API with the QTradableStocksUS as a screen to find and print the list of equities included in the QTradableStocksUS on 2016-07-01."
114 ]
115 },
116 {
117 "cell_type": "code",
118 "execution_count": 4,
119 "metadata": {
120 "collapsed": false,
121 "deletable": true,
122 "editable": true,
123 "scrolled": true
124 },
125 "outputs": [
126 {
127 "data": {
128 "text/html": [
129 "<div>\n",
130 "<table border=\"1\" class=\"dataframe\">\n",
131 " <thead>\n",
132 " <tr style=\"text-align: right;\">\n",
133 " <th></th>\n",
134 " <th>0</th>\n",
135 " </tr>\n",
136 " </thead>\n",
137 " <tbody>\n",
138 " <tr>\n",
139 " <th>0</th>\n",
140 " <td>Equity(2 [ARNC])</td>\n",
141 " </tr>\n",
142 " <tr>\n",
143 " <th>1</th>\n",
144 " <td>Equity(24 [AAPL])</td>\n",
145 " </tr>\n",
146 " <tr>\n",
147 " <th>2</th>\n",
148 " <td>Equity(31 [ABAX])</td>\n",
149 " </tr>\n",
150 " <tr>\n",
151 " <th>3</th>\n",
152 " <td>Equity(39 [DDC])</td>\n",
153 " </tr>\n",
154 " <tr>\n",
155 " <th>4</th>\n",
156 " <td>Equity(41 [ARCB])</td>\n",
157 " </tr>\n",
158 " <tr>\n",
159 " <th>5</th>\n",
160 " <td>Equity(52 [ABM])</td>\n",
161 " </tr>\n",
162 " <tr>\n",
163 " <th>6</th>\n",
164 " <td>Equity(53 [ABMD])</td>\n",
165 " </tr>\n",
166 " <tr>\n",
167 " <th>7</th>\n",
168 " <td>Equity(62 [ABT])</td>\n",
169 " </tr>\n",
170 " <tr>\n",
171 " <th>8</th>\n",
172 " <td>Equity(64 [ABX])</td>\n",
173 " </tr>\n",
174 " <tr>\n",
175 " <th>9</th>\n",
176 " <td>Equity(67 [ADSK])</td>\n",
177 " </tr>\n",
178 " <tr>\n",
179 " <th>10</th>\n",
180 " <td>Equity(76 [TAP])</td>\n",
181 " </tr>\n",
182 " <tr>\n",
183 " <th>11</th>\n",
184 " <td>Equity(84 [ACET])</td>\n",
185 " </tr>\n",
186 " <tr>\n",
187 " <th>12</th>\n",
188 " <td>Equity(110 [ACXM])</td>\n",
189 " </tr>\n",
190 " <tr>\n",
191 " <th>13</th>\n",
192 " <td>Equity(114 [ADBE])</td>\n",
193 " </tr>\n",
194 " <tr>\n",
195 " <th>14</th>\n",
196 " <td>Equity(122 [ADI])</td>\n",
197 " </tr>\n",
198 " <tr>\n",
199 " <th>15</th>\n",
200 " <td>Equity(128 [ADM])</td>\n",
201 " </tr>\n",
202 " <tr>\n",
203 " <th>16</th>\n",
204 " <td>Equity(154 [AEM])</td>\n",
205 " </tr>\n",
206 " <tr>\n",
207 " <th>17</th>\n",
208 " <td>Equity(161 [AEP])</td>\n",
209 " </tr>\n",
210 " <tr>\n",
211 " <th>18</th>\n",
212 " <td>Equity(166 [AES])</td>\n",
213 " </tr>\n",
214 " <tr>\n",
215 " <th>19</th>\n",
216 " <td>Equity(168 [AET])</td>\n",
217 " </tr>\n",
218 " <tr>\n",
219 " <th>20</th>\n",
220 " <td>Equity(185 [AFL])</td>\n",
221 " </tr>\n",
222 " <tr>\n",
223 " <th>21</th>\n",
224 " <td>Equity(197 [AGCO])</td>\n",
225 " </tr>\n",
226 " <tr>\n",
227 " <th>22</th>\n",
228 " <td>Equity(216 [HES])</td>\n",
229 " </tr>\n",
230 " <tr>\n",
231 " <th>23</th>\n",
232 " <td>Equity(239 [AIG])</td>\n",
233 " </tr>\n",
234 " <tr>\n",
235 " <th>24</th>\n",
236 " <td>Equity(247 [AIN])</td>\n",
237 " </tr>\n",
238 " <tr>\n",
239 " <th>25</th>\n",
240 " <td>Equity(253 [AIR])</td>\n",
241 " </tr>\n",
242 " <tr>\n",
243 " <th>26</th>\n",
244 " <td>Equity(266 [AJG])</td>\n",
245 " </tr>\n",
246 " <tr>\n",
247 " <th>27</th>\n",
248 " <td>Equity(270 [AKRX])</td>\n",
249 " </tr>\n",
250 " <tr>\n",
251 " <th>28</th>\n",
252 " <td>Equity(289 [MATX])</td>\n",
253 " </tr>\n",
254 " <tr>\n",
255 " <th>29</th>\n",
256 " <td>Equity(300 [ALK])</td>\n",
257 " </tr>\n",
258 " <tr>\n",
259 " <th>...</th>\n",
260 " <td>...</td>\n",
261 " </tr>\n",
262 " <tr>\n",
263 " <th>2057</th>\n",
264 " <td>Equity(49203 [GCI])</td>\n",
265 " </tr>\n",
266 " <tr>\n",
267 " <th>2058</th>\n",
268 " <td>Equity(49204 [CABO])</td>\n",
269 " </tr>\n",
270 " <tr>\n",
271 " <th>2059</th>\n",
272 " <td>Equity(49207 [BLD])</td>\n",
273 " </tr>\n",
274 " <tr>\n",
275 " <th>2060</th>\n",
276 " <td>Equity(49208 [BW])</td>\n",
277 " </tr>\n",
278 " <tr>\n",
279 " <th>2061</th>\n",
280 " <td>Equity(49210 [CC])</td>\n",
281 " </tr>\n",
282 " <tr>\n",
283 " <th>2062</th>\n",
284 " <td>Equity(49213 [ENR])</td>\n",
285 " </tr>\n",
286 " <tr>\n",
287 " <th>2063</th>\n",
288 " <td>Equity(49222 [TDOC])</td>\n",
289 " </tr>\n",
290 " <tr>\n",
291 " <th>2064</th>\n",
292 " <td>Equity(49229 [KHC])</td>\n",
293 " </tr>\n",
294 " <tr>\n",
295 " <th>2065</th>\n",
296 " <td>Equity(49238 [SRG])</td>\n",
297 " </tr>\n",
298 " <tr>\n",
299 " <th>2066</th>\n",
300 " <td>Equity(49242 [PYPL])</td>\n",
301 " </tr>\n",
302 " <tr>\n",
303 " <th>2067</th>\n",
304 " <td>Equity(49271 [OLLI])</td>\n",
305 " </tr>\n",
306 " <tr>\n",
307 " <th>2068</th>\n",
308 " <td>Equity(49275 [RPD])</td>\n",
309 " </tr>\n",
310 " <tr>\n",
311 " <th>2069</th>\n",
312 " <td>Equity(49279 [BUFF])</td>\n",
313 " </tr>\n",
314 " <tr>\n",
315 " <th>2070</th>\n",
316 " <td>Equity(49288 [LITE])</td>\n",
317 " </tr>\n",
318 " <tr>\n",
319 " <th>2071</th>\n",
320 " <td>Equity(49298 [NK])</td>\n",
321 " </tr>\n",
322 " <tr>\n",
323 " <th>2072</th>\n",
324 " <td>Equity(49312 [GLBL])</td>\n",
325 " </tr>\n",
326 " <tr>\n",
327 " <th>2073</th>\n",
328 " <td>Equity(49315 [Z])</td>\n",
329 " </tr>\n",
330 " <tr>\n",
331 " <th>2074</th>\n",
332 " <td>Equity(49318 [BETR])</td>\n",
333 " </tr>\n",
334 " <tr>\n",
335 " <th>2075</th>\n",
336 " <td>Equity(49321 [RUN])</td>\n",
337 " </tr>\n",
338 " <tr>\n",
339 " <th>2076</th>\n",
340 " <td>Equity(49322 [PLNT])</td>\n",
341 " </tr>\n",
342 " <tr>\n",
343 " <th>2077</th>\n",
344 " <td>Equity(49325 [CCP])</td>\n",
345 " </tr>\n",
346 " <tr>\n",
347 " <th>2078</th>\n",
348 " <td>Equity(49335 [GBT])</td>\n",
349 " </tr>\n",
350 " <tr>\n",
351 " <th>2079</th>\n",
352 " <td>Equity(49413 [PEN])</td>\n",
353 " </tr>\n",
354 " <tr>\n",
355 " <th>2080</th>\n",
356 " <td>Equity(49434 [FLOW])</td>\n",
357 " </tr>\n",
358 " <tr>\n",
359 " <th>2081</th>\n",
360 " <td>Equity(49448 [PJT])</td>\n",
361 " </tr>\n",
362 " <tr>\n",
363 " <th>2082</th>\n",
364 " <td>Equity(49455 [PFGC])</td>\n",
365 " </tr>\n",
366 " <tr>\n",
367 " <th>2083</th>\n",
368 " <td>Equity(49456 [SGRY])</td>\n",
369 " </tr>\n",
370 " <tr>\n",
371 " <th>2084</th>\n",
372 " <td>Equity(49458 [MSG])</td>\n",
373 " </tr>\n",
374 " <tr>\n",
375 " <th>2085</th>\n",
376 " <td>Equity(49460 [NVCR])</td>\n",
377 " </tr>\n",
378 " <tr>\n",
379 " <th>2086</th>\n",
380 " <td>Equity(49464 [PSTG])</td>\n",
381 " </tr>\n",
382 " </tbody>\n",
383 "</table>\n",
384 "<p>2087 rows × 1 columns</p>\n",
385 "</div>"
386 ],
387 "text/plain": [
388 " 0\n",
389 "0 Equity(2 [ARNC])\n",
390 "1 Equity(24 [AAPL])\n",
391 "2 Equity(31 [ABAX])\n",
392 "3 Equity(39 [DDC])\n",
393 "4 Equity(41 [ARCB])\n",
394 "5 Equity(52 [ABM])\n",
395 "6 Equity(53 [ABMD])\n",
396 "7 Equity(62 [ABT])\n",
397 "8 Equity(64 [ABX])\n",
398 "9 Equity(67 [ADSK])\n",
399 "10 Equity(76 [TAP])\n",
400 "11 Equity(84 [ACET])\n",
401 "12 Equity(110 [ACXM])\n",
402 "13 Equity(114 [ADBE])\n",
403 "14 Equity(122 [ADI])\n",
404 "15 Equity(128 [ADM])\n",
405 "16 Equity(154 [AEM])\n",
406 "17 Equity(161 [AEP])\n",
407 "18 Equity(166 [AES])\n",
408 "19 Equity(168 [AET])\n",
409 "20 Equity(185 [AFL])\n",
410 "21 Equity(197 [AGCO])\n",
411 "22 Equity(216 [HES])\n",
412 "23 Equity(239 [AIG])\n",
413 "24 Equity(247 [AIN])\n",
414 "25 Equity(253 [AIR])\n",
415 "26 Equity(266 [AJG])\n",
416 "27 Equity(270 [AKRX])\n",
417 "28 Equity(289 [MATX])\n",
418 "29 Equity(300 [ALK])\n",
419 "... ...\n",
420 "2057 Equity(49203 [GCI])\n",
421 "2058 Equity(49204 [CABO])\n",
422 "2059 Equity(49207 [BLD])\n",
423 "2060 Equity(49208 [BW])\n",
424 "2061 Equity(49210 [CC])\n",
425 "2062 Equity(49213 [ENR])\n",
426 "2063 Equity(49222 [TDOC])\n",
427 "2064 Equity(49229 [KHC])\n",
428 "2065 Equity(49238 [SRG])\n",
429 "2066 Equity(49242 [PYPL])\n",
430 "2067 Equity(49271 [OLLI])\n",
431 "2068 Equity(49275 [RPD])\n",
432 "2069 Equity(49279 [BUFF])\n",
433 "2070 Equity(49288 [LITE])\n",
434 "2071 Equity(49298 [NK])\n",
435 "2072 Equity(49312 [GLBL])\n",
436 "2073 Equity(49315 [Z])\n",
437 "2074 Equity(49318 [BETR])\n",
438 "2075 Equity(49321 [RUN])\n",
439 "2076 Equity(49322 [PLNT])\n",
440 "2077 Equity(49325 [CCP])\n",
441 "2078 Equity(49335 [GBT])\n",
442 "2079 Equity(49413 [PEN])\n",
443 "2080 Equity(49434 [FLOW])\n",
444 "2081 Equity(49448 [PJT])\n",
445 "2082 Equity(49455 [PFGC])\n",
446 "2083 Equity(49456 [SGRY])\n",
447 "2084 Equity(49458 [MSG])\n",
448 "2085 Equity(49460 [NVCR])\n",
449 "2086 Equity(49464 [PSTG])\n",
450 "\n",
451 "[2087 rows x 1 columns]"
452 ]
453 },
454 "execution_count": 4,
455 "metadata": {},
456 "output_type": "execute_result"
457 }
458 ],
459 "source": [
460 "# Your code goes here\n",
461 "\n",
462 "pipe = Pipeline(\n",
463 " columns={\n",
464 " },\n",
465 " screen=universe\n",
466 ")\n",
467 "\n",
468 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
469 "\n",
470 "pd.DataFrame(result.index.levels[1])"
471 ]
472 },
473 {
474 "cell_type": "markdown",
475 "metadata": {
476 "deletable": true,
477 "editable": true
478 },
479 "source": [
480 "## c. Sector Exposure\n",
481 "\n",
482 "Use the pipeline API with the QTradableStocksUS as a screen to find and print the sector composition of the universe on 2016-07-01."
483 ]
484 },
485 {
486 "cell_type": "code",
487 "execution_count": 5,
488 "metadata": {
489 "collapsed": false,
490 "deletable": true,
491 "editable": true
492 },
493 "outputs": [
494 {
495 "data": {
496 "text/plain": [
497 "Misc 1\n",
498 "Basic Materials 132\n",
499 "Consumer Cyclical 308\n",
500 "Financial Services 270\n",
501 "Real Estate 170\n",
502 "Consumer Defensive 100\n",
503 "Healthcare 266\n",
504 "Utilities 63\n",
505 "Communication Services 40\n",
506 "Energy 121\n",
507 "Industrials 309\n",
508 "Technology 307\n",
509 "dtype: int64"
510 ]
511 },
512 "execution_count": 5,
513 "metadata": {},
514 "output_type": "execute_result"
515 }
516 ],
517 "source": [
518 "SECTOR_CODE_NAMES = {\n",
519 " Sector.BASIC_MATERIALS: 'Basic Materials',\n",
520 " Sector.CONSUMER_CYCLICAL: 'Consumer Cyclical',\n",
521 " Sector.FINANCIAL_SERVICES: 'Financial Services',\n",
522 " Sector.REAL_ESTATE: 'Real Estate',\n",
523 " Sector.CONSUMER_DEFENSIVE: 'Consumer Defensive',\n",
524 " Sector.HEALTHCARE: 'Healthcare',\n",
525 " Sector.UTILITIES: 'Utilities',\n",
526 " Sector.COMMUNICATION_SERVICES: 'Communication Services',\n",
527 " Sector.ENERGY: 'Energy',\n",
528 " Sector.INDUSTRIALS: 'Industrials',\n",
529 " Sector.TECHNOLOGY: 'Technology',\n",
530 " -1 : 'Misc'\n",
531 "}\n",
532 "\n",
533 "# Your code goes here\n",
534 "\n",
535 "pipe = Pipeline(\n",
536 " columns={'Sector': Sector()\n",
537 " },\n",
538 " screen=universe\n",
539 ")\n",
540 "\n",
541 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
542 "\n",
543 "sectors = result.groupby('Sector').size()\n",
544 "sectors.index = sectors.index.map(lambda code: SECTOR_CODE_NAMES[code])\n",
545 "sectors"
546 ]
547 },
548 {
549 "cell_type": "markdown",
550 "metadata": {
551 "deletable": true,
552 "editable": true
553 },
554 "source": [
555 "## d. Turnover Rate\n",
556 "\n",
557 "Use the pipeline API with the QTradableStocksUS as a screen and the `calculate_daily_turnover` helper function to find and plot the turnover of the universe during 2016."
558 ]
559 },
560 {
561 "cell_type": "code",
562 "execution_count": 6,
563 "metadata": {
564 "collapsed": false,
565 "deletable": true,
566 "editable": true,
567 "scrolled": false
568 },
569 "outputs": [
570 {
571 "data": {
572 "text/html": [
573 "<div>\n",
574 "<table border=\"1\" class=\"dataframe\">\n",
575 " <thead>\n",
576 " <tr style=\"text-align: right;\">\n",
577 " <th></th>\n",
578 " <th>QTradableStocksUS</th>\n",
579 " </tr>\n",
580 " </thead>\n",
581 " <tbody>\n",
582 " <tr>\n",
583 " <th>count</th>\n",
584 " <td>252.000000</td>\n",
585 " </tr>\n",
586 " <tr>\n",
587 " <th>mean</th>\n",
588 " <td>3.896825</td>\n",
589 " </tr>\n",
590 " <tr>\n",
591 " <th>std</th>\n",
592 " <td>2.042689</td>\n",
593 " </tr>\n",
594 " <tr>\n",
595 " <th>min</th>\n",
596 " <td>0.000000</td>\n",
597 " </tr>\n",
598 " <tr>\n",
599 " <th>25%</th>\n",
600 " <td>3.000000</td>\n",
601 " </tr>\n",
602 " <tr>\n",
603 " <th>50%</th>\n",
604 " <td>4.000000</td>\n",
605 " </tr>\n",
606 " <tr>\n",
607 " <th>75%</th>\n",
608 " <td>5.000000</td>\n",
609 " </tr>\n",
610 " <tr>\n",
611 " <th>max</th>\n",
612 " <td>11.000000</td>\n",
613 " </tr>\n",
614 " </tbody>\n",
615 "</table>\n",
616 "</div>"
617 ],
618 "text/plain": [
619 " QTradableStocksUS\n",
620 "count 252.000000\n",
621 "mean 3.896825\n",
622 "std 2.042689\n",
623 "min 0.000000\n",
624 "25% 3.000000\n",
625 "50% 4.000000\n",
626 "75% 5.000000\n",
627 "max 11.000000"
628 ]
629 },
630 "execution_count": 6,
631 "metadata": {},
632 "output_type": "execute_result"
633 },
634 {
635 "data": {
636 "image/png": "iVBORw0KGgoAAAANSUhEUgAAAy0AAAHMCAYAAADYl0cIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
637 "text/plain": [
638 "<matplotlib.figure.Figure at 0x7f961c9a6990>"
639 ]
640 },
641 "metadata": {},
642 "output_type": "display_data"
643 }
644 ],
645 "source": [
646 "# Your code goes here\n",
647 "\n",
648 "pipe = Pipeline(\n",
649 " columns={'QTradableStocksUS' : universe\n",
650 " },\n",
651 " screen=universe\n",
652 ")\n",
653 "\n",
654 "result = run_pipeline(pipe, '2016-01-01', '2017-01-01')\n",
655 "\n",
656 "result = result.unstack().fillna(False)\n",
657 "\n",
658 "turnover = calculate_daily_turnover(result)\n",
659 "\n",
660 "turnover.plot(figsize=(14, 8));\n",
661 "\n",
662 "turnover.describe()"
663 ]
664 },
665 {
666 "cell_type": "markdown",
667 "metadata": {
668 "deletable": true,
669 "editable": true
670 },
671 "source": [
672 "# Exercise 2: Examining Tradability\n",
673 "\n",
674 "## a. NetIncome 1500\n",
675 "\n",
676 "Create a universe consisting of the top 1500 equities by net income then find and print the list of equities included in the universe on 2016-07-01."
677 ]
678 },
679 {
680 "cell_type": "code",
681 "execution_count": 7,
682 "metadata": {
683 "collapsed": false,
684 "deletable": true,
685 "editable": true
686 },
687 "outputs": [
688 {
689 "data": {
690 "text/html": [
691 "<div>\n",
692 "<table border=\"1\" class=\"dataframe\">\n",
693 " <thead>\n",
694 " <tr style=\"text-align: right;\">\n",
695 " <th></th>\n",
696 " <th>0</th>\n",
697 " </tr>\n",
698 " </thead>\n",
699 " <tbody>\n",
700 " <tr>\n",
701 " <th>0</th>\n",
702 " <td>Equity(24 [AAPL])</td>\n",
703 " </tr>\n",
704 " <tr>\n",
705 " <th>1</th>\n",
706 " <td>Equity(62 [ABT])</td>\n",
707 " </tr>\n",
708 " <tr>\n",
709 " <th>2</th>\n",
710 " <td>Equity(66 [AB])</td>\n",
711 " </tr>\n",
712 " <tr>\n",
713 " <th>3</th>\n",
714 " <td>Equity(76 [TAP])</td>\n",
715 " </tr>\n",
716 " <tr>\n",
717 " <th>4</th>\n",
718 " <td>Equity(114 [ADBE])</td>\n",
719 " </tr>\n",
720 " <tr>\n",
721 " <th>5</th>\n",
722 " <td>Equity(122 [ADI])</td>\n",
723 " </tr>\n",
724 " <tr>\n",
725 " <th>6</th>\n",
726 " <td>Equity(128 [ADM])</td>\n",
727 " </tr>\n",
728 " <tr>\n",
729 " <th>7</th>\n",
730 " <td>Equity(154 [AEM])</td>\n",
731 " </tr>\n",
732 " <tr>\n",
733 " <th>8</th>\n",
734 " <td>Equity(161 [AEP])</td>\n",
735 " </tr>\n",
736 " <tr>\n",
737 " <th>9</th>\n",
738 " <td>Equity(166 [AES])</td>\n",
739 " </tr>\n",
740 " <tr>\n",
741 " <th>10</th>\n",
742 " <td>Equity(168 [AET])</td>\n",
743 " </tr>\n",
744 " <tr>\n",
745 " <th>11</th>\n",
746 " <td>Equity(185 [AFL])</td>\n",
747 " </tr>\n",
748 " <tr>\n",
749 " <th>12</th>\n",
750 " <td>Equity(266 [AJG])</td>\n",
751 " </tr>\n",
752 " <tr>\n",
753 " <th>13</th>\n",
754 " <td>Equity(270 [AKRX])</td>\n",
755 " </tr>\n",
756 " <tr>\n",
757 " <th>14</th>\n",
758 " <td>Equity(300 [ALK])</td>\n",
759 " </tr>\n",
760 " <tr>\n",
761 " <th>15</th>\n",
762 " <td>Equity(332 [ALX])</td>\n",
763 " </tr>\n",
764 " <tr>\n",
765 " <th>16</th>\n",
766 " <td>Equity(337 [AMAT])</td>\n",
767 " </tr>\n",
768 " <tr>\n",
769 " <th>17</th>\n",
770 " <td>Equity(353 [AME])</td>\n",
771 " </tr>\n",
772 " <tr>\n",
773 " <th>18</th>\n",
774 " <td>Equity(357 [TWX])</td>\n",
775 " </tr>\n",
776 " <tr>\n",
777 " <th>19</th>\n",
778 " <td>Equity(368 [AMGN])</td>\n",
779 " </tr>\n",
780 " <tr>\n",
781 " <th>20</th>\n",
782 " <td>Equity(410 [AN])</td>\n",
783 " </tr>\n",
784 " <tr>\n",
785 " <th>21</th>\n",
786 " <td>Equity(412 [ANAT])</td>\n",
787 " </tr>\n",
788 " <tr>\n",
789 " <th>22</th>\n",
790 " <td>Equity(438 [AON])</td>\n",
791 " </tr>\n",
792 " <tr>\n",
793 " <th>23</th>\n",
794 " <td>Equity(465 [APH])</td>\n",
795 " </tr>\n",
796 " <tr>\n",
797 " <th>24</th>\n",
798 " <td>Equity(523 [AAN])</td>\n",
799 " </tr>\n",
800 " <tr>\n",
801 " <th>25</th>\n",
802 " <td>Equity(538 [ARW])</td>\n",
803 " </tr>\n",
804 " <tr>\n",
805 " <th>26</th>\n",
806 " <td>Equity(547 [ASB])</td>\n",
807 " </tr>\n",
808 " <tr>\n",
809 " <th>27</th>\n",
810 " <td>Equity(559 [ASH])</td>\n",
811 " </tr>\n",
812 " <tr>\n",
813 " <th>28</th>\n",
814 " <td>Equity(595 [GAS])</td>\n",
815 " </tr>\n",
816 " <tr>\n",
817 " <th>29</th>\n",
818 " <td>Equity(600 [OA])</td>\n",
819 " </tr>\n",
820 " <tr>\n",
821 " <th>...</th>\n",
822 " <td>...</td>\n",
823 " </tr>\n",
824 " <tr>\n",
825 " <th>1470</th>\n",
826 " <td>Equity(49723 [PSA_PRB])</td>\n",
827 " </tr>\n",
828 " <tr>\n",
829 " <th>1471</th>\n",
830 " <td>Equity(49734 [BAC_PRC])</td>\n",
831 " </tr>\n",
832 " <tr>\n",
833 " <th>1472</th>\n",
834 " <td>Equity(49746 [C_PRS])</td>\n",
835 " </tr>\n",
836 " <tr>\n",
837 " <th>1473</th>\n",
838 " <td>Equity(49750 [FRC_PRG])</td>\n",
839 " </tr>\n",
840 " <tr>\n",
841 " <th>1474</th>\n",
842 " <td>Equity(49758 [OSB])</td>\n",
843 " </tr>\n",
844 " <tr>\n",
845 " <th>1475</th>\n",
846 " <td>Equity(49781 [GS_PRN])</td>\n",
847 " </tr>\n",
848 " <tr>\n",
849 " <th>1476</th>\n",
850 " <td>Equity(49786 [SCHW_PRD])</td>\n",
851 " </tr>\n",
852 " <tr>\n",
853 " <th>1477</th>\n",
854 " <td>Equity(49805 [BBT_PRH])</td>\n",
855 " </tr>\n",
856 " <tr>\n",
857 " <th>1478</th>\n",
858 " <td>Equity(49820 [AFSI_PRE])</td>\n",
859 " </tr>\n",
860 " <tr>\n",
861 " <th>1479</th>\n",
862 " <td>Equity(49831 [HBAN_O])</td>\n",
863 " </tr>\n",
864 " <tr>\n",
865 " <th>1480</th>\n",
866 " <td>Equity(49870 [STT_PRG])</td>\n",
867 " </tr>\n",
868 " <tr>\n",
869 " <th>1481</th>\n",
870 " <td>Equity(49876 [BATS])</td>\n",
871 " </tr>\n",
872 " <tr>\n",
873 " <th>1482</th>\n",
874 " <td>Equity(49877 [PNK])</td>\n",
875 " </tr>\n",
876 " <tr>\n",
877 " <th>1483</th>\n",
878 " <td>Equity(49878 [BATR_A])</td>\n",
879 " </tr>\n",
880 " <tr>\n",
881 " <th>1484</th>\n",
882 " <td>Equity(49879 [BATR_K])</td>\n",
883 " </tr>\n",
884 " <tr>\n",
885 " <th>1485</th>\n",
886 " <td>Equity(49880 [LSXM_B])</td>\n",
887 " </tr>\n",
888 " <tr>\n",
889 " <th>1486</th>\n",
890 " <td>Equity(49881 [LSXM_A])</td>\n",
891 " </tr>\n",
892 " <tr>\n",
893 " <th>1487</th>\n",
894 " <td>Equity(49883 [LSXM_K])</td>\n",
895 " </tr>\n",
896 " <tr>\n",
897 " <th>1488</th>\n",
898 " <td>Equity(49885 [FWON_A])</td>\n",
899 " </tr>\n",
900 " <tr>\n",
901 " <th>1489</th>\n",
902 " <td>Equity(49908 [RRR])</td>\n",
903 " </tr>\n",
904 " <tr>\n",
905 " <th>1490</th>\n",
906 " <td>Equity(49909 [BAC_PRA])</td>\n",
907 " </tr>\n",
908 " <tr>\n",
909 " <th>1491</th>\n",
910 " <td>Equity(49941 [PRE_PRG])</td>\n",
911 " </tr>\n",
912 " <tr>\n",
913 " <th>1492</th>\n",
914 " <td>Equity(49942 [PRE_PRI])</td>\n",
915 " </tr>\n",
916 " <tr>\n",
917 " <th>1493</th>\n",
918 " <td>Equity(49943 [PRE_PRH])</td>\n",
919 " </tr>\n",
920 " <tr>\n",
921 " <th>1494</th>\n",
922 " <td>Equity(49976 [DFT_PRC])</td>\n",
923 " </tr>\n",
924 " <tr>\n",
925 " <th>1495</th>\n",
926 " <td>Equity(49977 [PSA_PRC])</td>\n",
927 " </tr>\n",
928 " <tr>\n",
929 " <th>1496</th>\n",
930 " <td>Equity(49987 [IBKC_O])</td>\n",
931 " </tr>\n",
932 " <tr>\n",
933 " <th>1497</th>\n",
934 " <td>Equity(49998 [LHO_PRJ])</td>\n",
935 " </tr>\n",
936 " <tr>\n",
937 " <th>1498</th>\n",
938 " <td>Equity(50059 [VR_PRA])</td>\n",
939 " </tr>\n",
940 " <tr>\n",
941 " <th>1499</th>\n",
942 " <td>Equity(50061 [WFC_PRX])</td>\n",
943 " </tr>\n",
944 " </tbody>\n",
945 "</table>\n",
946 "<p>1500 rows × 1 columns</p>\n",
947 "</div>"
948 ],
949 "text/plain": [
950 " 0\n",
951 "0 Equity(24 [AAPL])\n",
952 "1 Equity(62 [ABT])\n",
953 "2 Equity(66 [AB])\n",
954 "3 Equity(76 [TAP])\n",
955 "4 Equity(114 [ADBE])\n",
956 "5 Equity(122 [ADI])\n",
957 "6 Equity(128 [ADM])\n",
958 "7 Equity(154 [AEM])\n",
959 "8 Equity(161 [AEP])\n",
960 "9 Equity(166 [AES])\n",
961 "10 Equity(168 [AET])\n",
962 "11 Equity(185 [AFL])\n",
963 "12 Equity(266 [AJG])\n",
964 "13 Equity(270 [AKRX])\n",
965 "14 Equity(300 [ALK])\n",
966 "15 Equity(332 [ALX])\n",
967 "16 Equity(337 [AMAT])\n",
968 "17 Equity(353 [AME])\n",
969 "18 Equity(357 [TWX])\n",
970 "19 Equity(368 [AMGN])\n",
971 "20 Equity(410 [AN])\n",
972 "21 Equity(412 [ANAT])\n",
973 "22 Equity(438 [AON])\n",
974 "23 Equity(465 [APH])\n",
975 "24 Equity(523 [AAN])\n",
976 "25 Equity(538 [ARW])\n",
977 "26 Equity(547 [ASB])\n",
978 "27 Equity(559 [ASH])\n",
979 "28 Equity(595 [GAS])\n",
980 "29 Equity(600 [OA])\n",
981 "... ...\n",
982 "1470 Equity(49723 [PSA_PRB])\n",
983 "1471 Equity(49734 [BAC_PRC])\n",
984 "1472 Equity(49746 [C_PRS])\n",
985 "1473 Equity(49750 [FRC_PRG])\n",
986 "1474 Equity(49758 [OSB])\n",
987 "1475 Equity(49781 [GS_PRN])\n",
988 "1476 Equity(49786 [SCHW_PRD])\n",
989 "1477 Equity(49805 [BBT_PRH])\n",
990 "1478 Equity(49820 [AFSI_PRE])\n",
991 "1479 Equity(49831 [HBAN_O])\n",
992 "1480 Equity(49870 [STT_PRG])\n",
993 "1481 Equity(49876 [BATS])\n",
994 "1482 Equity(49877 [PNK])\n",
995 "1483 Equity(49878 [BATR_A])\n",
996 "1484 Equity(49879 [BATR_K])\n",
997 "1485 Equity(49880 [LSXM_B])\n",
998 "1486 Equity(49881 [LSXM_A])\n",
999 "1487 Equity(49883 [LSXM_K])\n",
1000 "1488 Equity(49885 [FWON_A])\n",
1001 "1489 Equity(49908 [RRR])\n",
1002 "1490 Equity(49909 [BAC_PRA])\n",
1003 "1491 Equity(49941 [PRE_PRG])\n",
1004 "1492 Equity(49942 [PRE_PRI])\n",
1005 "1493 Equity(49943 [PRE_PRH])\n",
1006 "1494 Equity(49976 [DFT_PRC])\n",
1007 "1495 Equity(49977 [PSA_PRC])\n",
1008 "1496 Equity(49987 [IBKC_O])\n",
1009 "1497 Equity(49998 [LHO_PRJ])\n",
1010 "1498 Equity(50059 [VR_PRA])\n",
1011 "1499 Equity(50061 [WFC_PRX])\n",
1012 "\n",
1013 "[1500 rows x 1 columns]"
1014 ]
1015 },
1016 "execution_count": 7,
1017 "metadata": {},
1018 "output_type": "execute_result"
1019 }
1020 ],
1021 "source": [
1022 "# Your code goes here\n",
1023 "\n",
1024 "universe = morningstar.income_statement.net_income.latest.top(1500)\n",
1025 "\n",
1026 "pipe = Pipeline(\n",
1027 " columns={\n",
1028 " },\n",
1029 " screen=universe\n",
1030 ")\n",
1031 "\n",
1032 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
1033 "\n",
1034 "pd.DataFrame(result.index.levels[1])"
1035 ]
1036 },
1037 {
1038 "cell_type": "markdown",
1039 "metadata": {
1040 "deletable": true,
1041 "editable": true
1042 },
1043 "source": [
1044 "## b. Measuring Tradability\n",
1045 "\n",
1046 "\n",
1047 "Find the average 200 day average dollar volume of the NetIncome 1500 universe using the `AverageDollarVolume` built in factor and compare to that of the QTradableStocksUS."
1048 ]
1049 },
1050 {
1051 "cell_type": "code",
1052 "execution_count": 8,
1053 "metadata": {
1054 "collapsed": false,
1055 "deletable": true,
1056 "editable": true
1057 },
1058 "outputs": [
1059 {
1060 "name": "stdout",
1061 "output_type": "stream",
1062 "text": [
1063 "NetIncome 1500 ADV: 74816585.5336\n",
1064 "QTradableStocksUS ADV: 61220949.8328\n"
1065 ]
1066 }
1067 ],
1068 "source": [
1069 "# Your code goes here\n",
1070 "\n",
1071 "pipe = Pipeline(\n",
1072 " columns={'Average Dollar Volume' : AverageDollarVolume(window_length = 200)\n",
1073 " },\n",
1074 " screen=universe\n",
1075 ")\n",
1076 "\n",
1077 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
1078 "\n",
1079 "print \"NetIncome 1500 ADV:\", np.mean(result['Average Dollar Volume'])\n",
1080 "\n",
1081 "pipe = Pipeline(\n",
1082 " columns={'Average Dollar Volume' : AverageDollarVolume(window_length = 30)\n",
1083 " },\n",
1084 " screen=QTradableStocksUS()\n",
1085 ")\n",
1086 "\n",
1087 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
1088 "\n",
1089 "print \"QTradableStocksUS ADV:\", np.mean(result['Average Dollar Volume'])"
1090 ]
1091 },
1092 {
1093 "cell_type": "markdown",
1094 "metadata": {
1095 "deletable": true,
1096 "editable": true
1097 },
1098 "source": [
1099 "Using average dollar volume as a stand-in liquidity metric, the QTradableStocksUS is more liquid than the NetIncome 1500. \n",
1100 "\n",
1101 "We used ADV as a liquidity metric here as it is an important indicator and its calculation is simple. However, average dollar volume is not a perfect measurement of liquidity as liquidity is determined by several factors and volume is only one of those. For more information on liquidity and its effects on algorithm performance, refer to the [lecture on Volume, Slippage, and Liquidity](https://www.quantopian.com/research/notebooks/Cloned%20from%20%22Quantopian%20Lecture%20Series%3A%20Introduction%20to%20Volume%2C%20Slippage%2C%20and%20Liquidity%22.ipynb)"
1102 ]
1103 },
1104 {
1105 "cell_type": "markdown",
1106 "metadata": {
1107 "deletable": true,
1108 "editable": true
1109 },
1110 "source": [
1111 "# Exercise 3: Sector Balance\n",
1112 "\n",
1113 "## a. Dividend 1500\n",
1114 "\n",
1115 "Create a universe consisting of the top 1500 equities by dividend yield then find and print the list of equities included in the this universe on 2016-07-01."
1116 ]
1117 },
1118 {
1119 "cell_type": "code",
1120 "execution_count": 9,
1121 "metadata": {
1122 "collapsed": false,
1123 "deletable": true,
1124 "editable": true
1125 },
1126 "outputs": [
1127 {
1128 "data": {
1129 "text/html": [
1130 "<div>\n",
1131 "<table border=\"1\" class=\"dataframe\">\n",
1132 " <thead>\n",
1133 " <tr style=\"text-align: right;\">\n",
1134 " <th></th>\n",
1135 " <th>0</th>\n",
1136 " </tr>\n",
1137 " </thead>\n",
1138 " <tbody>\n",
1139 " <tr>\n",
1140 " <th>0</th>\n",
1141 " <td>Equity(24 [AAPL])</td>\n",
1142 " </tr>\n",
1143 " <tr>\n",
1144 " <th>1</th>\n",
1145 " <td>Equity(62 [ABT])</td>\n",
1146 " </tr>\n",
1147 " <tr>\n",
1148 " <th>2</th>\n",
1149 " <td>Equity(66 [AB])</td>\n",
1150 " </tr>\n",
1151 " <tr>\n",
1152 " <th>3</th>\n",
1153 " <td>Equity(76 [TAP])</td>\n",
1154 " </tr>\n",
1155 " <tr>\n",
1156 " <th>4</th>\n",
1157 " <td>Equity(114 [ADBE])</td>\n",
1158 " </tr>\n",
1159 " <tr>\n",
1160 " <th>5</th>\n",
1161 " <td>Equity(122 [ADI])</td>\n",
1162 " </tr>\n",
1163 " <tr>\n",
1164 " <th>6</th>\n",
1165 " <td>Equity(128 [ADM])</td>\n",
1166 " </tr>\n",
1167 " <tr>\n",
1168 " <th>7</th>\n",
1169 " <td>Equity(154 [AEM])</td>\n",
1170 " </tr>\n",
1171 " <tr>\n",
1172 " <th>8</th>\n",
1173 " <td>Equity(161 [AEP])</td>\n",
1174 " </tr>\n",
1175 " <tr>\n",
1176 " <th>9</th>\n",
1177 " <td>Equity(166 [AES])</td>\n",
1178 " </tr>\n",
1179 " <tr>\n",
1180 " <th>10</th>\n",
1181 " <td>Equity(168 [AET])</td>\n",
1182 " </tr>\n",
1183 " <tr>\n",
1184 " <th>11</th>\n",
1185 " <td>Equity(185 [AFL])</td>\n",
1186 " </tr>\n",
1187 " <tr>\n",
1188 " <th>12</th>\n",
1189 " <td>Equity(266 [AJG])</td>\n",
1190 " </tr>\n",
1191 " <tr>\n",
1192 " <th>13</th>\n",
1193 " <td>Equity(270 [AKRX])</td>\n",
1194 " </tr>\n",
1195 " <tr>\n",
1196 " <th>14</th>\n",
1197 " <td>Equity(300 [ALK])</td>\n",
1198 " </tr>\n",
1199 " <tr>\n",
1200 " <th>15</th>\n",
1201 " <td>Equity(332 [ALX])</td>\n",
1202 " </tr>\n",
1203 " <tr>\n",
1204 " <th>16</th>\n",
1205 " <td>Equity(337 [AMAT])</td>\n",
1206 " </tr>\n",
1207 " <tr>\n",
1208 " <th>17</th>\n",
1209 " <td>Equity(353 [AME])</td>\n",
1210 " </tr>\n",
1211 " <tr>\n",
1212 " <th>18</th>\n",
1213 " <td>Equity(357 [TWX])</td>\n",
1214 " </tr>\n",
1215 " <tr>\n",
1216 " <th>19</th>\n",
1217 " <td>Equity(368 [AMGN])</td>\n",
1218 " </tr>\n",
1219 " <tr>\n",
1220 " <th>20</th>\n",
1221 " <td>Equity(410 [AN])</td>\n",
1222 " </tr>\n",
1223 " <tr>\n",
1224 " <th>21</th>\n",
1225 " <td>Equity(412 [ANAT])</td>\n",
1226 " </tr>\n",
1227 " <tr>\n",
1228 " <th>22</th>\n",
1229 " <td>Equity(438 [AON])</td>\n",
1230 " </tr>\n",
1231 " <tr>\n",
1232 " <th>23</th>\n",
1233 " <td>Equity(465 [APH])</td>\n",
1234 " </tr>\n",
1235 " <tr>\n",
1236 " <th>24</th>\n",
1237 " <td>Equity(523 [AAN])</td>\n",
1238 " </tr>\n",
1239 " <tr>\n",
1240 " <th>25</th>\n",
1241 " <td>Equity(538 [ARW])</td>\n",
1242 " </tr>\n",
1243 " <tr>\n",
1244 " <th>26</th>\n",
1245 " <td>Equity(547 [ASB])</td>\n",
1246 " </tr>\n",
1247 " <tr>\n",
1248 " <th>27</th>\n",
1249 " <td>Equity(559 [ASH])</td>\n",
1250 " </tr>\n",
1251 " <tr>\n",
1252 " <th>28</th>\n",
1253 " <td>Equity(595 [GAS])</td>\n",
1254 " </tr>\n",
1255 " <tr>\n",
1256 " <th>29</th>\n",
1257 " <td>Equity(600 [OA])</td>\n",
1258 " </tr>\n",
1259 " <tr>\n",
1260 " <th>...</th>\n",
1261 " <td>...</td>\n",
1262 " </tr>\n",
1263 " <tr>\n",
1264 " <th>1470</th>\n",
1265 " <td>Equity(49723 [PSA_PRB])</td>\n",
1266 " </tr>\n",
1267 " <tr>\n",
1268 " <th>1471</th>\n",
1269 " <td>Equity(49734 [BAC_PRC])</td>\n",
1270 " </tr>\n",
1271 " <tr>\n",
1272 " <th>1472</th>\n",
1273 " <td>Equity(49746 [C_PRS])</td>\n",
1274 " </tr>\n",
1275 " <tr>\n",
1276 " <th>1473</th>\n",
1277 " <td>Equity(49750 [FRC_PRG])</td>\n",
1278 " </tr>\n",
1279 " <tr>\n",
1280 " <th>1474</th>\n",
1281 " <td>Equity(49758 [OSB])</td>\n",
1282 " </tr>\n",
1283 " <tr>\n",
1284 " <th>1475</th>\n",
1285 " <td>Equity(49781 [GS_PRN])</td>\n",
1286 " </tr>\n",
1287 " <tr>\n",
1288 " <th>1476</th>\n",
1289 " <td>Equity(49786 [SCHW_PRD])</td>\n",
1290 " </tr>\n",
1291 " <tr>\n",
1292 " <th>1477</th>\n",
1293 " <td>Equity(49805 [BBT_PRH])</td>\n",
1294 " </tr>\n",
1295 " <tr>\n",
1296 " <th>1478</th>\n",
1297 " <td>Equity(49820 [AFSI_PRE])</td>\n",
1298 " </tr>\n",
1299 " <tr>\n",
1300 " <th>1479</th>\n",
1301 " <td>Equity(49831 [HBAN_O])</td>\n",
1302 " </tr>\n",
1303 " <tr>\n",
1304 " <th>1480</th>\n",
1305 " <td>Equity(49870 [STT_PRG])</td>\n",
1306 " </tr>\n",
1307 " <tr>\n",
1308 " <th>1481</th>\n",
1309 " <td>Equity(49876 [BATS])</td>\n",
1310 " </tr>\n",
1311 " <tr>\n",
1312 " <th>1482</th>\n",
1313 " <td>Equity(49877 [PNK])</td>\n",
1314 " </tr>\n",
1315 " <tr>\n",
1316 " <th>1483</th>\n",
1317 " <td>Equity(49878 [BATR_A])</td>\n",
1318 " </tr>\n",
1319 " <tr>\n",
1320 " <th>1484</th>\n",
1321 " <td>Equity(49879 [BATR_K])</td>\n",
1322 " </tr>\n",
1323 " <tr>\n",
1324 " <th>1485</th>\n",
1325 " <td>Equity(49880 [LSXM_B])</td>\n",
1326 " </tr>\n",
1327 " <tr>\n",
1328 " <th>1486</th>\n",
1329 " <td>Equity(49881 [LSXM_A])</td>\n",
1330 " </tr>\n",
1331 " <tr>\n",
1332 " <th>1487</th>\n",
1333 " <td>Equity(49883 [LSXM_K])</td>\n",
1334 " </tr>\n",
1335 " <tr>\n",
1336 " <th>1488</th>\n",
1337 " <td>Equity(49885 [FWON_A])</td>\n",
1338 " </tr>\n",
1339 " <tr>\n",
1340 " <th>1489</th>\n",
1341 " <td>Equity(49908 [RRR])</td>\n",
1342 " </tr>\n",
1343 " <tr>\n",
1344 " <th>1490</th>\n",
1345 " <td>Equity(49909 [BAC_PRA])</td>\n",
1346 " </tr>\n",
1347 " <tr>\n",
1348 " <th>1491</th>\n",
1349 " <td>Equity(49941 [PRE_PRG])</td>\n",
1350 " </tr>\n",
1351 " <tr>\n",
1352 " <th>1492</th>\n",
1353 " <td>Equity(49942 [PRE_PRI])</td>\n",
1354 " </tr>\n",
1355 " <tr>\n",
1356 " <th>1493</th>\n",
1357 " <td>Equity(49943 [PRE_PRH])</td>\n",
1358 " </tr>\n",
1359 " <tr>\n",
1360 " <th>1494</th>\n",
1361 " <td>Equity(49976 [DFT_PRC])</td>\n",
1362 " </tr>\n",
1363 " <tr>\n",
1364 " <th>1495</th>\n",
1365 " <td>Equity(49977 [PSA_PRC])</td>\n",
1366 " </tr>\n",
1367 " <tr>\n",
1368 " <th>1496</th>\n",
1369 " <td>Equity(49987 [IBKC_O])</td>\n",
1370 " </tr>\n",
1371 " <tr>\n",
1372 " <th>1497</th>\n",
1373 " <td>Equity(49998 [LHO_PRJ])</td>\n",
1374 " </tr>\n",
1375 " <tr>\n",
1376 " <th>1498</th>\n",
1377 " <td>Equity(50059 [VR_PRA])</td>\n",
1378 " </tr>\n",
1379 " <tr>\n",
1380 " <th>1499</th>\n",
1381 " <td>Equity(50061 [WFC_PRX])</td>\n",
1382 " </tr>\n",
1383 " </tbody>\n",
1384 "</table>\n",
1385 "<p>1500 rows × 1 columns</p>\n",
1386 "</div>"
1387 ],
1388 "text/plain": [
1389 " 0\n",
1390 "0 Equity(24 [AAPL])\n",
1391 "1 Equity(62 [ABT])\n",
1392 "2 Equity(66 [AB])\n",
1393 "3 Equity(76 [TAP])\n",
1394 "4 Equity(114 [ADBE])\n",
1395 "5 Equity(122 [ADI])\n",
1396 "6 Equity(128 [ADM])\n",
1397 "7 Equity(154 [AEM])\n",
1398 "8 Equity(161 [AEP])\n",
1399 "9 Equity(166 [AES])\n",
1400 "10 Equity(168 [AET])\n",
1401 "11 Equity(185 [AFL])\n",
1402 "12 Equity(266 [AJG])\n",
1403 "13 Equity(270 [AKRX])\n",
1404 "14 Equity(300 [ALK])\n",
1405 "15 Equity(332 [ALX])\n",
1406 "16 Equity(337 [AMAT])\n",
1407 "17 Equity(353 [AME])\n",
1408 "18 Equity(357 [TWX])\n",
1409 "19 Equity(368 [AMGN])\n",
1410 "20 Equity(410 [AN])\n",
1411 "21 Equity(412 [ANAT])\n",
1412 "22 Equity(438 [AON])\n",
1413 "23 Equity(465 [APH])\n",
1414 "24 Equity(523 [AAN])\n",
1415 "25 Equity(538 [ARW])\n",
1416 "26 Equity(547 [ASB])\n",
1417 "27 Equity(559 [ASH])\n",
1418 "28 Equity(595 [GAS])\n",
1419 "29 Equity(600 [OA])\n",
1420 "... ...\n",
1421 "1470 Equity(49723 [PSA_PRB])\n",
1422 "1471 Equity(49734 [BAC_PRC])\n",
1423 "1472 Equity(49746 [C_PRS])\n",
1424 "1473 Equity(49750 [FRC_PRG])\n",
1425 "1474 Equity(49758 [OSB])\n",
1426 "1475 Equity(49781 [GS_PRN])\n",
1427 "1476 Equity(49786 [SCHW_PRD])\n",
1428 "1477 Equity(49805 [BBT_PRH])\n",
1429 "1478 Equity(49820 [AFSI_PRE])\n",
1430 "1479 Equity(49831 [HBAN_O])\n",
1431 "1480 Equity(49870 [STT_PRG])\n",
1432 "1481 Equity(49876 [BATS])\n",
1433 "1482 Equity(49877 [PNK])\n",
1434 "1483 Equity(49878 [BATR_A])\n",
1435 "1484 Equity(49879 [BATR_K])\n",
1436 "1485 Equity(49880 [LSXM_B])\n",
1437 "1486 Equity(49881 [LSXM_A])\n",
1438 "1487 Equity(49883 [LSXM_K])\n",
1439 "1488 Equity(49885 [FWON_A])\n",
1440 "1489 Equity(49908 [RRR])\n",
1441 "1490 Equity(49909 [BAC_PRA])\n",
1442 "1491 Equity(49941 [PRE_PRG])\n",
1443 "1492 Equity(49942 [PRE_PRI])\n",
1444 "1493 Equity(49943 [PRE_PRH])\n",
1445 "1494 Equity(49976 [DFT_PRC])\n",
1446 "1495 Equity(49977 [PSA_PRC])\n",
1447 "1496 Equity(49987 [IBKC_O])\n",
1448 "1497 Equity(49998 [LHO_PRJ])\n",
1449 "1498 Equity(50059 [VR_PRA])\n",
1450 "1499 Equity(50061 [WFC_PRX])\n",
1451 "\n",
1452 "[1500 rows x 1 columns]"
1453 ]
1454 },
1455 "execution_count": 9,
1456 "metadata": {},
1457 "output_type": "execute_result"
1458 }
1459 ],
1460 "source": [
1461 "# Your code goes here\n",
1462 "\n",
1463 "universe = morningstar.income_statement.net_income.latest.top(1500)\n",
1464 "\n",
1465 "pipe = Pipeline(\n",
1466 " columns={\n",
1467 " },\n",
1468 " screen=universe\n",
1469 ")\n",
1470 "\n",
1471 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
1472 "\n",
1473 "pd.DataFrame(result.index.levels[1])"
1474 ]
1475 },
1476 {
1477 "cell_type": "markdown",
1478 "metadata": {
1479 "deletable": true,
1480 "editable": true
1481 },
1482 "source": [
1483 "## b. Dividend 1500 Sector Composition\n",
1484 "\n",
1485 "Find and print the sector composition of the universe on 2016-07-01."
1486 ]
1487 },
1488 {
1489 "cell_type": "code",
1490 "execution_count": 10,
1491 "metadata": {
1492 "collapsed": false,
1493 "deletable": true,
1494 "editable": true
1495 },
1496 "outputs": [
1497 {
1498 "data": {
1499 "text/plain": [
1500 "Basic Materials 4.600000\n",
1501 "Consumer Cyclical 6.066667\n",
1502 "Financial Services 33.866667\n",
1503 "Real Estate 21.200000\n",
1504 "Consumer Defensive 2.133333\n",
1505 "Healthcare 1.800000\n",
1506 "Utilities 4.000000\n",
1507 "Communication Services 2.400000\n",
1508 "Energy 11.800000\n",
1509 "Industrials 8.200000\n",
1510 "Technology 3.933333\n",
1511 "dtype: float64"
1512 ]
1513 },
1514 "execution_count": 10,
1515 "metadata": {},
1516 "output_type": "execute_result"
1517 }
1518 ],
1519 "source": [
1520 "SECTOR_CODE_NAMES = {\n",
1521 " Sector.BASIC_MATERIALS: 'Basic Materials',\n",
1522 " Sector.CONSUMER_CYCLICAL: 'Consumer Cyclical',\n",
1523 " Sector.FINANCIAL_SERVICES: 'Financial Services',\n",
1524 " Sector.REAL_ESTATE: 'Real Estate',\n",
1525 " Sector.CONSUMER_DEFENSIVE: 'Consumer Defensive',\n",
1526 " Sector.HEALTHCARE: 'Healthcare',\n",
1527 " Sector.UTILITIES: 'Utilities',\n",
1528 " Sector.COMMUNICATION_SERVICES: 'Communication Services',\n",
1529 " Sector.ENERGY: 'Energy',\n",
1530 " Sector.INDUSTRIALS: 'Industrials',\n",
1531 " Sector.TECHNOLOGY: 'Technology',\n",
1532 " -1 : 'Misc'\n",
1533 "}\n",
1534 "\n",
1535 "# Your code goes here\n",
1536 "\n",
1537 "universe = morningstar.valuation_ratios.dividend_yield.latest.top(1500)\n",
1538 "\n",
1539 "\n",
1540 "pipe = Pipeline(\n",
1541 " columns={'Sector': Sector()\n",
1542 " },\n",
1543 " screen=universe\n",
1544 ")\n",
1545 "\n",
1546 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
1547 "\n",
1548 "sectors = 100*result.groupby('Sector').size()/1500\n",
1549 "sectors.index = sectors.index.map(lambda code: SECTOR_CODE_NAMES[code])\n",
1550 "sectors"
1551 ]
1552 },
1553 {
1554 "cell_type": "markdown",
1555 "metadata": {
1556 "deletable": true,
1557 "editable": true
1558 },
1559 "source": [
1560 "The Dividend 1500 has a very unbalanced sector composition, with 34% of equities being from the financial services sector. This exposes the universe to sector risk and makes it vulnerable to volatility in the financial services sector. The QTradableStocksUS avoids this by capping the number of equities from any single sector at 30%."
1561 ]
1562 },
1563 {
1564 "cell_type": "markdown",
1565 "metadata": {
1566 "deletable": true,
1567 "editable": true
1568 },
1569 "source": [
1570 "# Exercise 4: Turnover Smoothing\n",
1571 "\n",
1572 "## a. PE 1500\n",
1573 "\n",
1574 "Create a universe consisting of the top 1500 equities by price to earnings ratio then find and print the list of equities included in the this universe on 2016-07-01."
1575 ]
1576 },
1577 {
1578 "cell_type": "code",
1579 "execution_count": 11,
1580 "metadata": {
1581 "collapsed": false,
1582 "deletable": true,
1583 "editable": true
1584 },
1585 "outputs": [
1586 {
1587 "data": {
1588 "text/html": [
1589 "<div>\n",
1590 "<table border=\"1\" class=\"dataframe\">\n",
1591 " <thead>\n",
1592 " <tr style=\"text-align: right;\">\n",
1593 " <th></th>\n",
1594 " <th>0</th>\n",
1595 " </tr>\n",
1596 " </thead>\n",
1597 " <tbody>\n",
1598 " <tr>\n",
1599 " <th>0</th>\n",
1600 " <td>Equity(31 [ABAX])</td>\n",
1601 " </tr>\n",
1602 " <tr>\n",
1603 " <th>1</th>\n",
1604 " <td>Equity(39 [DDC])</td>\n",
1605 " </tr>\n",
1606 " <tr>\n",
1607 " <th>2</th>\n",
1608 " <td>Equity(52 [ABM])</td>\n",
1609 " </tr>\n",
1610 " <tr>\n",
1611 " <th>3</th>\n",
1612 " <td>Equity(53 [ABMD])</td>\n",
1613 " </tr>\n",
1614 " <tr>\n",
1615 " <th>4</th>\n",
1616 " <td>Equity(67 [ADSK])</td>\n",
1617 " </tr>\n",
1618 " <tr>\n",
1619 " <th>5</th>\n",
1620 " <td>Equity(69 [ACAT])</td>\n",
1621 " </tr>\n",
1622 " <tr>\n",
1623 " <th>6</th>\n",
1624 " <td>Equity(76 [TAP])</td>\n",
1625 " </tr>\n",
1626 " <tr>\n",
1627 " <th>7</th>\n",
1628 " <td>Equity(100 [IEP])</td>\n",
1629 " </tr>\n",
1630 " <tr>\n",
1631 " <th>8</th>\n",
1632 " <td>Equity(110 [ACXM])</td>\n",
1633 " </tr>\n",
1634 " <tr>\n",
1635 " <th>9</th>\n",
1636 " <td>Equity(114 [ADBE])</td>\n",
1637 " </tr>\n",
1638 " <tr>\n",
1639 " <th>10</th>\n",
1640 " <td>Equity(153 [AE])</td>\n",
1641 " </tr>\n",
1642 " <tr>\n",
1643 " <th>11</th>\n",
1644 " <td>Equity(154 [AEM])</td>\n",
1645 " </tr>\n",
1646 " <tr>\n",
1647 " <th>12</th>\n",
1648 " <td>Equity(225 [AHPI])</td>\n",
1649 " </tr>\n",
1650 " <tr>\n",
1651 " <th>13</th>\n",
1652 " <td>Equity(239 [AIG])</td>\n",
1653 " </tr>\n",
1654 " <tr>\n",
1655 " <th>14</th>\n",
1656 " <td>Equity(301 [ALKS])</td>\n",
1657 " </tr>\n",
1658 " <tr>\n",
1659 " <th>15</th>\n",
1660 " <td>Equity(311 [ALOG])</td>\n",
1661 " </tr>\n",
1662 " <tr>\n",
1663 " <th>16</th>\n",
1664 " <td>Equity(351 [AMD])</td>\n",
1665 " </tr>\n",
1666 " <tr>\n",
1667 " <th>17</th>\n",
1668 " <td>Equity(366 [AVD])</td>\n",
1669 " </tr>\n",
1670 " <tr>\n",
1671 " <th>18</th>\n",
1672 " <td>Equity(371 [TVTY])</td>\n",
1673 " </tr>\n",
1674 " <tr>\n",
1675 " <th>19</th>\n",
1676 " <td>Equity(392 [AMS])</td>\n",
1677 " </tr>\n",
1678 " <tr>\n",
1679 " <th>20</th>\n",
1680 " <td>Equity(447 [AP])</td>\n",
1681 " </tr>\n",
1682 " <tr>\n",
1683 " <th>21</th>\n",
1684 " <td>Equity(450 [CLFD])</td>\n",
1685 " </tr>\n",
1686 " <tr>\n",
1687 " <th>22</th>\n",
1688 " <td>Equity(455 [APC])</td>\n",
1689 " </tr>\n",
1690 " <tr>\n",
1691 " <th>23</th>\n",
1692 " <td>Equity(484 [ATU])</td>\n",
1693 " </tr>\n",
1694 " <tr>\n",
1695 " <th>24</th>\n",
1696 " <td>Equity(553 [ASEI])</td>\n",
1697 " </tr>\n",
1698 " <tr>\n",
1699 " <th>25</th>\n",
1700 " <td>Equity(559 [ASH])</td>\n",
1701 " </tr>\n",
1702 " <tr>\n",
1703 " <th>26</th>\n",
1704 " <td>Equity(579 [ASTE])</td>\n",
1705 " </tr>\n",
1706 " <tr>\n",
1707 " <th>27</th>\n",
1708 " <td>Equity(600 [OA])</td>\n",
1709 " </tr>\n",
1710 " <tr>\n",
1711 " <th>28</th>\n",
1712 " <td>Equity(610 [ATNI])</td>\n",
1713 " </tr>\n",
1714 " <tr>\n",
1715 " <th>29</th>\n",
1716 " <td>Equity(629 [AU])</td>\n",
1717 " </tr>\n",
1718 " <tr>\n",
1719 " <th>...</th>\n",
1720 " <td>...</td>\n",
1721 " </tr>\n",
1722 " <tr>\n",
1723 " <th>1470</th>\n",
1724 " <td>Equity(49463 [KLDX])</td>\n",
1725 " </tr>\n",
1726 " <tr>\n",
1727 " <th>1471</th>\n",
1728 " <td>Equity(49501 [LIVN])</td>\n",
1729 " </tr>\n",
1730 " <tr>\n",
1731 " <th>1472</th>\n",
1732 " <td>Equity(49503 [AFCO])</td>\n",
1733 " </tr>\n",
1734 " <tr>\n",
1735 " <th>1473</th>\n",
1736 " <td>Equity(49516 [MPSX])</td>\n",
1737 " </tr>\n",
1738 " <tr>\n",
1739 " <th>1474</th>\n",
1740 " <td>Equity(49523 [TLGT])</td>\n",
1741 " </tr>\n",
1742 " <tr>\n",
1743 " <th>1475</th>\n",
1744 " <td>Equity(49576 [AC])</td>\n",
1745 " </tr>\n",
1746 " <tr>\n",
1747 " <th>1476</th>\n",
1748 " <td>Equity(49606 [MIME])</td>\n",
1749 " </tr>\n",
1750 " <tr>\n",
1751 " <th>1477</th>\n",
1752 " <td>Equity(49608 [MTCH])</td>\n",
1753 " </tr>\n",
1754 " <tr>\n",
1755 " <th>1478</th>\n",
1756 " <td>Equity(49627 [RMR])</td>\n",
1757 " </tr>\n",
1758 " <tr>\n",
1759 " <th>1479</th>\n",
1760 " <td>Equity(49630 [CSRA])</td>\n",
1761 " </tr>\n",
1762 " <tr>\n",
1763 " <th>1480</th>\n",
1764 " <td>Equity(49655 [TEAM])</td>\n",
1765 " </tr>\n",
1766 " <tr>\n",
1767 " <th>1481</th>\n",
1768 " <td>Equity(49666 [AGR])</td>\n",
1769 " </tr>\n",
1770 " <tr>\n",
1771 " <th>1482</th>\n",
1772 " <td>Equity(49668 [CCRC])</td>\n",
1773 " </tr>\n",
1774 " <tr>\n",
1775 " <th>1483</th>\n",
1776 " <td>Equity(49697 [CIFC])</td>\n",
1777 " </tr>\n",
1778 " <tr>\n",
1779 " <th>1484</th>\n",
1780 " <td>Equity(49700 [FCE_A])</td>\n",
1781 " </tr>\n",
1782 " <tr>\n",
1783 " <th>1485</th>\n",
1784 " <td>Equity(49701 [FCE_B])</td>\n",
1785 " </tr>\n",
1786 " <tr>\n",
1787 " <th>1486</th>\n",
1788 " <td>Equity(49703 [PBBI])</td>\n",
1789 " </tr>\n",
1790 " <tr>\n",
1791 " <th>1487</th>\n",
1792 " <td>Equity(49722 [SPI])</td>\n",
1793 " </tr>\n",
1794 " <tr>\n",
1795 " <th>1488</th>\n",
1796 " <td>Equity(49727 [GCP])</td>\n",
1797 " </tr>\n",
1798 " <tr>\n",
1799 " <th>1489</th>\n",
1800 " <td>Equity(49758 [OSB])</td>\n",
1801 " </tr>\n",
1802 " <tr>\n",
1803 " <th>1490</th>\n",
1804 " <td>Equity(49817 [HCM])</td>\n",
1805 " </tr>\n",
1806 " <tr>\n",
1807 " <th>1491</th>\n",
1808 " <td>Equity(49830 [UA])</td>\n",
1809 " </tr>\n",
1810 " <tr>\n",
1811 " <th>1492</th>\n",
1812 " <td>Equity(49880 [LSXM_B])</td>\n",
1813 " </tr>\n",
1814 " <tr>\n",
1815 " <th>1493</th>\n",
1816 " <td>Equity(49881 [LSXM_A])</td>\n",
1817 " </tr>\n",
1818 " <tr>\n",
1819 " <th>1494</th>\n",
1820 " <td>Equity(49883 [LSXM_K])</td>\n",
1821 " </tr>\n",
1822 " <tr>\n",
1823 " <th>1495</th>\n",
1824 " <td>Equity(49894 [ARA])</td>\n",
1825 " </tr>\n",
1826 " <tr>\n",
1827 " <th>1496</th>\n",
1828 " <td>Equity(49908 [RRR])</td>\n",
1829 " </tr>\n",
1830 " <tr>\n",
1831 " <th>1497</th>\n",
1832 " <td>Equity(49959 [SITE])</td>\n",
1833 " </tr>\n",
1834 " <tr>\n",
1835 " <th>1498</th>\n",
1836 " <td>Equity(50002 [COTV])</td>\n",
1837 " </tr>\n",
1838 " <tr>\n",
1839 " <th>1499</th>\n",
1840 " <td>Equity(50005 [ZDGE])</td>\n",
1841 " </tr>\n",
1842 " </tbody>\n",
1843 "</table>\n",
1844 "<p>1500 rows × 1 columns</p>\n",
1845 "</div>"
1846 ],
1847 "text/plain": [
1848 " 0\n",
1849 "0 Equity(31 [ABAX])\n",
1850 "1 Equity(39 [DDC])\n",
1851 "2 Equity(52 [ABM])\n",
1852 "3 Equity(53 [ABMD])\n",
1853 "4 Equity(67 [ADSK])\n",
1854 "5 Equity(69 [ACAT])\n",
1855 "6 Equity(76 [TAP])\n",
1856 "7 Equity(100 [IEP])\n",
1857 "8 Equity(110 [ACXM])\n",
1858 "9 Equity(114 [ADBE])\n",
1859 "10 Equity(153 [AE])\n",
1860 "11 Equity(154 [AEM])\n",
1861 "12 Equity(225 [AHPI])\n",
1862 "13 Equity(239 [AIG])\n",
1863 "14 Equity(301 [ALKS])\n",
1864 "15 Equity(311 [ALOG])\n",
1865 "16 Equity(351 [AMD])\n",
1866 "17 Equity(366 [AVD])\n",
1867 "18 Equity(371 [TVTY])\n",
1868 "19 Equity(392 [AMS])\n",
1869 "20 Equity(447 [AP])\n",
1870 "21 Equity(450 [CLFD])\n",
1871 "22 Equity(455 [APC])\n",
1872 "23 Equity(484 [ATU])\n",
1873 "24 Equity(553 [ASEI])\n",
1874 "25 Equity(559 [ASH])\n",
1875 "26 Equity(579 [ASTE])\n",
1876 "27 Equity(600 [OA])\n",
1877 "28 Equity(610 [ATNI])\n",
1878 "29 Equity(629 [AU])\n",
1879 "... ...\n",
1880 "1470 Equity(49463 [KLDX])\n",
1881 "1471 Equity(49501 [LIVN])\n",
1882 "1472 Equity(49503 [AFCO])\n",
1883 "1473 Equity(49516 [MPSX])\n",
1884 "1474 Equity(49523 [TLGT])\n",
1885 "1475 Equity(49576 [AC])\n",
1886 "1476 Equity(49606 [MIME])\n",
1887 "1477 Equity(49608 [MTCH])\n",
1888 "1478 Equity(49627 [RMR])\n",
1889 "1479 Equity(49630 [CSRA])\n",
1890 "1480 Equity(49655 [TEAM])\n",
1891 "1481 Equity(49666 [AGR])\n",
1892 "1482 Equity(49668 [CCRC])\n",
1893 "1483 Equity(49697 [CIFC])\n",
1894 "1484 Equity(49700 [FCE_A])\n",
1895 "1485 Equity(49701 [FCE_B])\n",
1896 "1486 Equity(49703 [PBBI])\n",
1897 "1487 Equity(49722 [SPI])\n",
1898 "1488 Equity(49727 [GCP])\n",
1899 "1489 Equity(49758 [OSB])\n",
1900 "1490 Equity(49817 [HCM])\n",
1901 "1491 Equity(49830 [UA])\n",
1902 "1492 Equity(49880 [LSXM_B])\n",
1903 "1493 Equity(49881 [LSXM_A])\n",
1904 "1494 Equity(49883 [LSXM_K])\n",
1905 "1495 Equity(49894 [ARA])\n",
1906 "1496 Equity(49908 [RRR])\n",
1907 "1497 Equity(49959 [SITE])\n",
1908 "1498 Equity(50002 [COTV])\n",
1909 "1499 Equity(50005 [ZDGE])\n",
1910 "\n",
1911 "[1500 rows x 1 columns]"
1912 ]
1913 },
1914 "execution_count": 11,
1915 "metadata": {},
1916 "output_type": "execute_result"
1917 }
1918 ],
1919 "source": [
1920 "# Your code goes here\n",
1921 "\n",
1922 "universe = morningstar.valuation_ratios.pe_ratio.latest.top(1500)\n",
1923 "\n",
1924 "pipe = Pipeline(\n",
1925 " columns={\n",
1926 " },\n",
1927 " screen=universe\n",
1928 ")\n",
1929 "\n",
1930 "result = run_pipeline(pipe, '2016-07-01', '2016-07-01')\n",
1931 "\n",
1932 "pd.DataFrame(result.index.levels[1])"
1933 ]
1934 },
1935 {
1936 "cell_type": "markdown",
1937 "metadata": {
1938 "deletable": true,
1939 "editable": true
1940 },
1941 "source": [
1942 "## b. PE 1500 Turnover\n",
1943 "\n",
1944 "Use the `calculate_daily_turnover` helper function to find and plot the turnover of the PE 1500 universe during 2016. Compare the average to that of the QTradableStocksUS."
1945 ]
1946 },
1947 {
1948 "cell_type": "code",
1949 "execution_count": 12,
1950 "metadata": {
1951 "collapsed": false,
1952 "deletable": true,
1953 "editable": true
1954 },
1955 "outputs": [
1956 {
1957 "name": "stdout",
1958 "output_type": "stream",
1959 "text": [
1960 "Price to Earnings Ratio 1500 23.269841\n",
1961 "Name: mean, dtype: float64\n"
1962 ]
1963 },
1964 {
1965 "data": {
1966 "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzMAAAHMCAYAAADh8PZTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBEGS/g81IL0KRUesDwAAAABJRU5ErkJggg==\n",
1967 "text/plain": [
1968 "<matplotlib.figure.Figure at 0x7f961c98ad10>"
1969 ]
1970 },
1971 "metadata": {},
1972 "output_type": "display_data"
1973 }
1974 ],
1975 "source": [
1976 "# Your code goes here\n",
1977 "\n",
1978 "pipe = Pipeline(\n",
1979 " columns={'Price to Earnings Ratio 1500' : universe\n",
1980 " },\n",
1981 " screen=universe\n",
1982 ")\n",
1983 "\n",
1984 "result = run_pipeline(pipe, '2016-01-01', '2017-01-01')\n",
1985 "\n",
1986 "result = result.unstack().fillna(False)\n",
1987 "\n",
1988 "turnover = calculate_daily_turnover(result)\n",
1989 "\n",
1990 "turnover.plot(figsize=(14, 8));\n",
1991 "\n",
1992 "print turnover.describe().loc['mean']"
1993 ]
1994 },
1995 {
1996 "cell_type": "markdown",
1997 "metadata": {
1998 "deletable": true,
1999 "editable": true
2000 },
2001 "source": [
2002 "The mean turnover was almost twice as high as in the QTradableStocksUS, which has built-in smoothing features to prevent equities near the threshold from entering and exiting frequently."
2003 ]
2004 },
2005 {
2006 "cell_type": "markdown",
2007 "metadata": {
2008 "deletable": true,
2009 "editable": true
2010 },
2011 "source": [
2012 "## c. Smoothing the PE 1500\n",
2013 "\n",
2014 "Using `AtLeastN`, apply a smoothing function to the PE 1500 to reduce turnover noise and find the new mean turnover."
2015 ]
2016 },
2017 {
2018 "cell_type": "code",
2019 "execution_count": 13,
2020 "metadata": {
2021 "collapsed": false,
2022 "deletable": true,
2023 "editable": true
2024 },
2025 "outputs": [
2026 {
2027 "name": "stdout",
2028 "output_type": "stream",
2029 "text": [
2030 "Smoothed PE 1500 8.849206\n",
2031 "Name: mean, dtype: float64\n"
2032 ]
2033 }
2034 ],
2035 "source": [
2036 "# Your code goes here\n",
2037 "\n",
2038 "universe_smoothed = AtLeastN(inputs=[universe],\n",
2039 " window_length=21,\n",
2040 " N=16,)\n",
2041 "\n",
2042 "pipe = Pipeline(\n",
2043 " columns={'Smoothed PE 1500' : universe_smoothed\n",
2044 " },\n",
2045 " screen=universe_smoothed\n",
2046 ")\n",
2047 "\n",
2048 "result = run_pipeline(pipe, '2016-01-01', '2017-01-01')\n",
2049 "\n",
2050 "result = result.unstack().fillna(False)\n",
2051 "\n",
2052 "turnover = calculate_daily_turnover(result)\n",
2053 "\n",
2054 "print turnover.describe().loc['mean']"
2055 ]
2056 },
2057 {
2058 "cell_type": "markdown",
2059 "metadata": {
2060 "deletable": true,
2061 "editable": true
2062 },
2063 "source": [
2064 "The mean turnover of the smoothed universe is less than half of what it was before the smoothing. This action reduced the noise from small movements near the threshold and left only the meaningful turnover events."
2065 ]
2066 },
2067 {
2068 "cell_type": "markdown",
2069 "metadata": {},
2070 "source": [
2071 "---\n",
2072 "\n",
2073 "Congratulations on completing the Universe Selection answer key!\n",
2074 "\n",
2075 "As you learn more about writing trading models and the Quantopian platform, enter a daily [Quantopian Contest](https://www.quantopian.com/contest). Your strategy will be evaluated for a cash prize every day.\n",
2076 "\n",
2077 "Start by going through the [Writing a Contest Algorithm](https://www.quantopian.com/tutorials/contest) tutorial."
2078 ]
2079 },
2080 {
2081 "cell_type": "markdown",
2082 "metadata": {
2083 "deletable": true,
2084 "editable": true
2085 },
2086 "source": [
2087 "*This presentation is for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation for any security; nor does it constitute an offer to provide investment advisory or other services by Quantopian, Inc. (\"Quantopian\"). Nothing contained herein constitutes investment advice or offers any opinion with respect to the suitability of any security, and any views expressed herein should not be taken as advice to buy, sell, or hold any security or as an endorsement of any security or company. In preparing the information contained herein, Quantopian, Inc. has not taken into account the investment needs, objectives, and financial circumstances of any particular investor. Any views expressed and data illustrated herein were prepared based upon information, believed to be reliable, available to Quantopian, Inc. at the time of publication. Quantopian makes no guarantees as to their accuracy or completeness. All information is subject to change and may quickly become unreliable for various reasons, including changes in market conditions or economic circumstances.*"
2088 ]
2089 }
2090 ],
2091 "metadata": {
2092 "kernelspec": {
2093 "display_name": "Python 2",
2094 "language": "python",
2095 "name": "python2"
2096 },
2097 "language_info": {
2098 "codemirror_mode": {
2099 "name": "ipython",
2100 "version": 2
2101 },
2102 "file_extension": ".py",
2103 "mimetype": "text/x-python",
2104 "name": "python",
2105 "nbconvert_exporter": "python",
2106 "pygments_lexer": "ipython2",
2107 "version": "2.7.12"
2108 }
2109 },
2110 "nbformat": 4,
2111 "nbformat_minor": 0
2112 }