Commit 92df02a2 authored by Dr.李's avatar Dr.李

update example 4

parent 0c4e1787
...@@ -2,7 +2,7 @@ ...@@ -2,7 +2,7 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 1,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -18,7 +18,7 @@ ...@@ -18,7 +18,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -26,14 +26,14 @@ ...@@ -26,14 +26,14 @@
"Back test parameter settings\n", "Back test parameter settings\n",
"\"\"\"\n", "\"\"\"\n",
"\n", "\n",
"start_date = '2010-01-01'\n", "start_date = '2016-01-01'\n",
"end_date = '2018-02-14'\n", "end_date = '2018-02-14'\n",
"\n", "\n",
"freq = '10b'\n", "freq = '10b'\n",
"industry_lower = 1.0\n", "industry_lower = 1.0\n",
"industry_upper = 1.0\n", "industry_upper = 1.0\n",
"neutralized_risk = industry_styles\n", "neutralized_risk = industry_styles\n",
"industry_name = 'sw_adj'\n", "industry_name = 'sw'\n",
"industry_level = 1\n", "industry_level = 1\n",
"turn_over_target_base = 0.4\n", "turn_over_target_base = 0.4\n",
"benchmark_total_lower = 0.8\n", "benchmark_total_lower = 0.8\n",
...@@ -52,7 +52,7 @@ ...@@ -52,7 +52,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -83,26 +83,30 @@ ...@@ -83,26 +83,30 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 4,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 41.9 s, sys: 40.9 s, total: 1min 22s\n",
"Wall time: 1min 40s\n"
]
}
],
"source": [ "source": [
"%%time\n", "%%time\n",
"\n", "\n",
"\"\"\"\n", "\"\"\"\n",
"Predicting Phase\n", "Predicting Phase\n",
"\"\"\"\n", "\"\"\"\n",
"\n", "predicts = [predict_worker((d.strftime('%Y-%m-%d'), alpha_model)) for d in ref_dates]"
"from dask.distributed import Client\n",
"client = Client('10.63.6.176:8786')\n",
"\n",
"tasks = client.map(predict_worker, [(d.strftime('%Y-%m-%d'), alpha_model) for d in ref_dates], pure=False)\n",
"predicts = client.gather(tasks)"
] ]
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 5,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -141,7 +145,7 @@ ...@@ -141,7 +145,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 6,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
...@@ -225,9 +229,30 @@ ...@@ -225,9 +229,30 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 7,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f42e1a2f0b8>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [ "source": [
"ret_df = create_scenario(weight_gap)\n", "ret_df = create_scenario(weight_gap)\n",
"ret_df[['returns', 'tc_cost']].cumsum().plot(figsize=(12, 6),\n", "ret_df[['returns', 'tc_cost']].cumsum().plot(figsize=(12, 6),\n",
......
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