文档更新

ngwangshu · Sep 11, 2017 · 24c104a · 24c104a
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diff --git a/abupy_lecture/0-abupy量化环境部署(ABU量化使用文档).ipynb b/abupy_lecture/0-abupy量化环境部署(ABU量化使用文档).ipynb
@@ -154,9 +154,9 @@
  "cell_type": "markdown",
  "metadata": {},
  "source": [
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html))\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/1-择时策略的开发(ABU量化使用文档).ipynb b/abupy_lecture/1-择时策略的开发(ABU量化使用文档).ipynb
@@ -734,9 +734,9 @@
  "12. [附录B 量化相关性分析](https://github.com/bbfamily/abu/tree/master/ipython/附录B-量化相关性分析.ipynb)\n",
  "13. [附录C 量化统计分析及指标应用](https://github.com/bbfamily/abu/tree/master/ipython/附录C-量化统计分析及指标应用.ipynb)\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/10-比特币莱特币的回测(ABU量化使用文档).ipynb b/abupy_lecture/10-比特币莱特币的回测(ABU量化使用文档).ipynb
@@ -74,7 +74,9 @@
  {
  "cell_type": "code",
  "execution_count": 3,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "from abupy import AbuFactorAtrNStop, AbuFactorPreAtrNStop, AbuFactorCloseAtrNStop, AbuFactorBuyBreak, ABuProgress\n",
@@ -309,7 +311,9 @@
  {
  "cell_type": "code",
  "execution_count": 6,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "btc365 = btc[-365:]\n",
@@ -1295,7 +1299,9 @@
  {
  "cell_type": "code",
  "execution_count": 14,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "# 设置市场类型为港股\n",
@@ -1697,7 +1703,9 @@
  {
  "cell_type": "code",
  "execution_count": 26,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "abu_result_tuple, kl_pd_manger = abu.run_loop_back(read_cash,\n",
@@ -1871,10 +1879,9 @@
  "\n",
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https://union-click.jd.com/jdc?d=GRFXUK)\n",
- "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/11-期货市场的回测(ABU量化使用文档).ipynb b/abupy_lecture/11-期货市场的回测(ABU量化使用文档).ipynb
@@ -1522,9 +1522,9 @@
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/12-机器学习与比特币示例(ABU量化使用文档).ipynb b/abupy_lecture/12-机器学习与比特币示例(ABU量化使用文档).ipynb
@@ -91,7 +91,9 @@
  {
  "cell_type": "code",
  "execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "from abupy import abu, ml, nd, tl, pd_resample, AbuML, AbuMLPd, AbuMetricsBase \n",
@@ -299,7 +301,9 @@
  {
  "cell_type": "code",
  "execution_count": 7,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "def btc_siblings_df(btc_raw):\n",
@@ -565,7 +569,9 @@
  {
  "cell_type": "code",
  "execution_count": 9,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "btc_train1 = btc_siblings_df(btc_train_raw[1:])\n",
@@ -985,7 +991,9 @@
  {
  "cell_type": "code",
  "execution_count": 11,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "train_matrix = btc_train.as_matrix()\n",
@@ -2061,7 +2069,9 @@
  {
  "cell_type": "code",
  "execution_count": 24,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "btc_test0 = btc_siblings_df(btc_test_raw)\n",
@@ -2387,10 +2397,9 @@
  "\n",
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https://union-click.jd.com/jdc?d=GRFXUK)\n",
- "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/13-量化技术分析应用(ABU量化使用文档).ipynb b/abupy_lecture/13-量化技术分析应用(ABU量化使用文档).ipynb
@@ -70,7 +70,9 @@
  {
  "cell_type": "code",
  "execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "from abupy import abu, ml, nd, tl, pd_resample, AbuML, AbuMLPd, AbuMetricsBase\n",
@@ -622,9 +624,9 @@
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html))\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/14-量化相关性分析应用(ABU量化使用文档).ipynb b/abupy_lecture/14-量化相关性分析应用(ABU量化使用文档).ipynb
@@ -69,7 +69,9 @@
  {
  "cell_type": "code",
  "execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "from abupy import abu, ml, nd, tl, ECoreCorrType, ABuSymbolPd, ABuScalerUtil, AbuFuturesCn, ABuCorrcoef\n",
@@ -1933,9 +1935,9 @@
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/15-量化交易和搜索引擎(ABU量化使用文档).ipynb b/abupy_lecture/15-量化交易和搜索引擎(ABU量化使用文档).ipynb
@@ -1529,9 +1529,9 @@
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/16-UMP主裁交易决策(ABU量化使用文档).ipynb b/abupy_lecture/16-UMP主裁交易决策(ABU量化使用文档).ipynb
@@ -68,7 +68,9 @@
  {
  "cell_type": "code",
  "execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "from abupy import AbuFactorAtrNStop, AbuFactorPreAtrNStop, AbuFactorCloseAtrNStop, AbuFactorBuyBreak, ABuProgress\n",
@@ -89,7 +91,9 @@
  {
  "cell_type": "code",
  "execution_count": 3,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "us_choice_symbols = ['usTSLA', 'usNOAH', 'usSFUN', 'usBIDU', 'usAAPL', 'usGOOG', 'usWUBA', 'usVIPS']\n",
@@ -565,7 +569,9 @@
  {
  "cell_type": "code",
  "execution_count": 9,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "# 不使用主裁拦截\n",
@@ -629,7 +635,9 @@
  {
  "cell_type": "code",
  "execution_count": 11,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "abupy.env.g_enable_ump_main_deg_block = True\n",
@@ -945,7 +953,9 @@
  {
  "cell_type": "code",
  "execution_count": 14,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "class AbuFactorBuyBreakUmpDemo(AbuFactorBuyBreak):\n",
@@ -981,7 +991,9 @@
  {
  "cell_type": "code",
  "execution_count": 15,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "buy_factors = [{'xd': 60, 'class': AbuFactorBuyBreakUmpDemo},\n",
@@ -1081,7 +1093,9 @@
  {
  "cell_type": "code",
  "execution_count": 18,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "buy_factors = [{'xd': 60, 'class': AbuFactorBuyBreakReocrdHitDemo},\n",
@@ -1292,7 +1306,9 @@
  {
  "cell_type": "code",
  "execution_count": 22,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "buy_factors = [{'hit_ml':hit_ml, 'xd': 60, 'class': AbuFactorBuyBreakHitPredictDemo},\n",
@@ -1406,9 +1422,9 @@
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",

diff --git a/abupy_lecture/17-UMP边裁交易决策(ABU量化使用文档).ipynb b/abupy_lecture/17-UMP边裁交易决策(ABU量化使用文档).ipynb
@@ -63,7 +63,9 @@
  {
  "cell_type": "code",
  "execution_count": 2,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "from abupy import AbuFactorAtrNStop, AbuFactorPreAtrNStop, AbuFactorCloseAtrNStop, AbuFactorBuyBreak, ABuProgress\n",
@@ -84,7 +86,9 @@
  {
  "cell_type": "code",
  "execution_count": 3,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "us_choice_symbols = ['usTSLA', 'usNOAH', 'usSFUN', 'usBIDU', 'usAAPL', 'usGOOG', 'usWUBA', 'usVIPS']\n",
@@ -1029,7 +1033,9 @@
  {
  "cell_type": "code",
  "execution_count": 12,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "# 不使用边裁拦截\n",
@@ -1307,7 +1313,9 @@
  {
  "cell_type": "code",
  "execution_count": 17,
- "metadata": {},
+ "metadata": {
+ "collapsed": true
+ },
  "outputs": [],
  "source": [
  "# 开启边裁\n",
@@ -1456,9 +1464,9 @@
  "[更多阿布量化量化技术文章](http:https://www.abuquant.com/article)\n",
  "\n",
  "\n",
- "更多关于量化交易相关请稍后阅读[《量化交易之路》](https:https://union-click.jd.com/jdc?d=GRFXUK)\n",
+ "更多关于量化交易相关请阅读[《量化交易之路》](http:https://www.abuquant.com/books/quantify-trading-road.html)\n",
  "\n",
- "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://union-click.jd.com/jdc?d=ddV9Uw)\n",
+ "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http:https://www.abuquant.com/books/machine-learning-road.html)\n",
  "\n",
  "更多关于abu量化系统请关注微信公众号: abu_quant\n",
  "\n",