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Dr.李
alpha-mind
Commits
6a251d41
Commit
6a251d41
authored
Mar 12, 2020
by
Dr.李
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fixed conflict
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619c8a8f
bbb2ef19
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8 changed files
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32 additions
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53 deletions
+32
-53
models.py
alphamind/data/dbmodel/models.py
+1
-1
Example 14 - Deep Learning Model Prediction - Tensorflow Application.ipynb
... Learning Model Prediction - Tensorflow Application.ipynb
+18
-2
Example 2 - Strategy Analysis.ipynb
notebooks/Example 2 - Strategy Analysis.ipynb
+1
-1
Example 3 - Multi Weight Gap Comparison.ipynb
notebooks/Example 3 - Multi Weight Gap Comparison.ipynb
+1
-1
Example 4 - Single Factor Analysis.ipynb
notebooks/Example 4 - Single Factor Analysis.ipynb
+1
-1
Example 5 - Style Factor Analysis.ipynb
notebooks/Example 5 - Style Factor Analysis.ipynb
+1
-1
Example 6 - Target Volatility Builder.ipynb
notebooks/Example 6 - Target Volatility Builder.ipynb
+1
-1
Quick Start 7 - Single Factor IC Analysis.ipynb
notebooks/Quick Start 7 - Single Factor IC Analysis.ipynb
+8
-45
No files found.
alphamind/data/dbmodel/models.py
View file @
6a251d41
...
@@ -1031,5 +1031,5 @@ class IndexMarket(Base):
...
@@ -1031,5 +1031,5 @@ class IndexMarket(Base):
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
from
sqlalchemy
import
create_engine
from
sqlalchemy
import
create_engine
engine
=
create_engine
(
'postgresql+psycopg2://
postgres:we083826@101.132.104.118
/alpha'
)
engine
=
create_engine
(
'postgresql+psycopg2://
alpha:alpha@180.166.26.82:8890
/alpha'
)
Base
.
metadata
.
create_all
(
engine
)
Base
.
metadata
.
create_all
(
engine
)
notebooks/Example 14 - Deep Learning Model Prediction - Tensorflow Application.ipynb
View file @
6a251d41
...
@@ -237,9 +237,25 @@
...
@@ -237,9 +237,25 @@
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
null
,
"execution_count":
27
,
"metadata": {},
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Optimization finished ......\n",
"Training cost = 0.06224982067942619, W = [[ 0.6762214 ]\n",
" [ 0.40109447]\n",
" [-0.4262993 ]\n",
" [ 0.28896013]], b = 0.014891502447426319\n",
"\n",
"Sklearn Regression Testing IC: 0.9434\n",
"Tensorflow Regression Testing IC: 0.9242\n",
"Wall time: 3min 26s\n"
]
}
],
"source": [
"source": [
"%%time \n",
"%%time \n",
"\n",
"\n",
...
...
notebooks/Example 2 - Strategy Analysis.ipynb
View file @
6a251d41
...
@@ -273,7 +273,7 @@
...
@@ -273,7 +273,7 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.
6.8
"
"version": "3.
7.3
"
},
},
"varInspector": {
"varInspector": {
"cols": {
"cols": {
...
...
notebooks/Example 3 - Multi Weight Gap Comparison.ipynb
View file @
6a251d41
...
@@ -548,7 +548,7 @@
...
@@ -548,7 +548,7 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.
6.8
"
"version": "3.
7.3
"
},
},
"varInspector": {
"varInspector": {
"cols": {
"cols": {
...
...
notebooks/Example 4 - Single Factor Analysis.ipynb
View file @
6a251d41
...
@@ -292,7 +292,7 @@
...
@@ -292,7 +292,7 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.
6.8
"
"version": "3.
7.3
"
},
},
"varInspector": {
"varInspector": {
"cols": {
"cols": {
...
...
notebooks/Example 5 - Style Factor Analysis.ipynb
View file @
6a251d41
...
@@ -383,7 +383,7 @@
...
@@ -383,7 +383,7 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.
6.8
"
"version": "3.
7.3
"
},
},
"varInspector": {
"varInspector": {
"cols": {
"cols": {
...
...
notebooks/Example 6 - Target Volatility Builder.ipynb
View file @
6a251d41
...
@@ -382,7 +382,7 @@
...
@@ -382,7 +382,7 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.
6.8
"
"version": "3.
7.3
"
},
},
"varInspector": {
"varInspector": {
"cols": {
"cols": {
...
...
notebooks/Quick Start 7 - Single Factor IC Analysis.ipynb
View file @
6a251d41
...
@@ -2,7 +2,7 @@
...
@@ -2,7 +2,7 @@
"cells": [
"cells": [
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
87
,
"execution_count":
1
,
"metadata": {},
"metadata": {},
"outputs": [],
"outputs": [],
"source": [
"source": [
...
@@ -32,7 +32,7 @@
...
@@ -32,7 +32,7 @@
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
91
,
"execution_count":
2
,
"metadata": {},
"metadata": {},
"outputs": [],
"outputs": [],
"source": [
"source": [
...
@@ -47,7 +47,7 @@
...
@@ -47,7 +47,7 @@
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
92
,
"execution_count":
null
,
"metadata": {},
"metadata": {},
"outputs": [],
"outputs": [],
"source": [
"source": [
...
@@ -71,23 +71,9 @@
...
@@ -71,23 +71,9 @@
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
93
,
"execution_count":
null
,
"metadata": {},
"metadata": {},
"outputs": [
"outputs": [],
{
"name": "stderr",
"output_type": "stream",
"text": [
"D:\\ProgramData\\anaconda3\\lib\\site-packages\\pandas\\core\\series.py:942: FutureWarning: \n",
"Passing list-likes to .loc or [] with any missing label will raise\n",
"KeyError in the future, you can use .reindex() as an alternative.\n",
"\n",
"See the documentation here:\n",
"https://pandas.pydata.org/pandas-docs/stable/indexing.html#deprecate-loc-reindex-listlike\n",
" return self.loc[key]\n"
]
}
],
"source": [
"source": [
"neutralized_factors = neutralize(total_data[neutralized_styles].values.astype(float),\n",
"neutralized_factors = neutralize(total_data[neutralized_styles].values.astype(float),\n",
" total_data['ROE'].values,\n",
" total_data['ROE'].values,\n",
...
@@ -97,32 +83,9 @@
...
@@ -97,32 +83,9 @@
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
94
,
"execution_count":
null
,
"metadata": {},
"metadata": {},
"outputs": [
"outputs": [],
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x150e2f680b8>"
]
},
"execution_count": 94,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1008x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"source": [
"ic_series = total_data.groupby('trade_date').apply(lambda x: np.corrcoef(x['neutralized_factors'], x['dx'])[0, 1])\n",
"ic_series = total_data.groupby('trade_date').apply(lambda x: np.corrcoef(x['neutralized_factors'], x['dx'])[0, 1])\n",
"ic_series.rolling(window=7).mean().plot(figsize=(14, 7))"
"ic_series.rolling(window=7).mean().plot(figsize=(14, 7))"
...
@@ -224,7 +187,7 @@
...
@@ -224,7 +187,7 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.
6.8
"
"version": "3.
7.3
"
}
}
},
},
"nbformat": 4,
"nbformat": 4,
...
...
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