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ENH #284 inc and dec strict speed boost TST talib stoch and stochrsi DOC notebooks update
This commit is contained in:
Kevin Johnson committed
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@@ -98,7 +98,7 @@ $ pip install pandas_ta
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Latest Version
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--------------
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Best choice! Version: *0.2.79*
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Best choice! Version: *0.2.80*
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```sh
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$ pip install -U git+https://github.com/twopirllc/pandas-ta
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```
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@@ -958,8 +958,8 @@ cascaded stochastic calculations with additional smoothing. See: ```help(ta.stc)
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* _Bollinger Bands_ (**bbands**): New argument ```ddoff``` to control the Degrees of Freedom. Default is 0. See ```help(ta.bbands)```.
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* _Choppiness Index_ (**chop**): New argument ```ln``` to use Natural Logarithm (True) instead of the Standard Logarithm (False). Default is False. See ```help(ta.chop)```.
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* _Chande Kroll Stop_ (**cksp**): Added ```tvmode``` with default ```True```. When ```tvmode=False```, **cksp** implements “The New Technical Trader” with default values. See ```help(ta.cksp)```.
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* _Decreasing_ (**decreasing**): New argument ```strict``` checks if the series is continuously decreasing over period ```length```. Default: ```False```. See ```help(ta.decreasing)```.
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* _Increasing_ (**increasing**): New argument ```strict``` checks if the series is continuously increasing over period ```length```. Default: ```False```. See ```help(ta.increasing)```.
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* _Decreasing_ (**decreasing**): New argument ```strict``` checks if the series is continuously decreasing over period ```length``` with a faster calculation. Default: ```False```. The ```percent``` argument has also been added with default None. See ```help(ta.decreasing)```.
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* _Increasing_ (**increasing**): New argument ```strict``` checks if the series is continuously increasing over period ```length``` with a faster calculation. Default: ```False```. The ```percent``` argument has also been added with default None. See ```help(ta.increasing)```.
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* _Volume Weighted Average Price_ (**vwap**) Added a new parameter called ```anchor```. Default: "D" for "Daily". See [Timeseries Offset Aliases](https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#timeseries-offset-aliases) for additional options. **Requires** the DataFrame index to be a DatetimeIndex
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<br />
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+247
-229
@@ -121,19 +121,19 @@
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"[!] Loading All: SPY, QQQ, AAPL, TSLA, BTC-USD\n",
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"[+] Downloading[yahoo]: SPY[D]\n",
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"[+] Saving: /Users/kj/av_data/SPY_D.csv\n",
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"[i] Runtime: 482.9511 ms (0.4830 s)\n",
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"[i] Runtime: 525.9195 ms (0.5259 s)\n",
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"[+] Downloading[yahoo]: QQQ[D]\n",
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"[+] Saving: /Users/kj/av_data/QQQ_D.csv\n",
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"[i] Runtime: 481.2774 ms (0.4813 s)\n",
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"[i] Runtime: 480.6160 ms (0.4806 s)\n",
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"[+] Downloading[yahoo]: AAPL[D]\n",
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"[+] Saving: /Users/kj/av_data/AAPL_D.csv\n",
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"[i] Runtime: 474.6944 ms (0.4747 s)\n",
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"[i] Runtime: 508.6772 ms (0.5087 s)\n",
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"[+] Downloading[yahoo]: TSLA[D]\n",
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"[+] Saving: /Users/kj/av_data/TSLA_D.csv\n",
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"[i] Runtime: 473.4943 ms (0.4735 s)\n",
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"[i] Runtime: 477.4917 ms (0.4775 s)\n",
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"[+] Downloading[yahoo]: BTC-USD[D]\n",
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"[+] Saving: /Users/kj/av_data/BTC-USD_D.csv\n",
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"[i] Runtime: 462.5248 ms (0.4625 s)\n"
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"[i] Runtime: 497.8067 ms (0.4978 s)\n"
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]
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}
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],
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@@ -161,7 +161,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"SPY (7118, 12)\n",
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"SPY (7128, 12)\n",
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"Columns: open, high, low, close, volume, dividends, split, SMA_10, SMA_20, SMA_50, SMA_200, VOL_SMA_20\n"
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]
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}
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@@ -231,69 +231,69 @@
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>2020-05-06</th>\n",
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" <td>283.493739</td>\n",
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" <td>283.907093</td>\n",
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" <td>279.300967</td>\n",
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" <td>279.763550</td>\n",
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" <td>73632600</td>\n",
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" <td>281.025305</td>\n",
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" <td>277.757211</td>\n",
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" <td>268.165192</td>\n",
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" <td>292.634901</td>\n",
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" <td>1.143152e+08</td>\n",
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" <th>2020-05-20</th>\n",
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" <td>291.150942</td>\n",
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" <td>293.168574</td>\n",
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" <td>290.904888</td>\n",
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" <td>292.243408</td>\n",
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" <td>85861700</td>\n",
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" <td>285.033035</td>\n",
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" <td>283.029170</td>\n",
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" <td>266.659134</td>\n",
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" <td>292.472755</td>\n",
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" <td>98976520.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-05-07</th>\n",
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" <td>283.208307</td>\n",
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" <td>285.206265</td>\n",
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" <td>282.598097</td>\n",
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" <td>283.139404</td>\n",
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" <td>75250400</td>\n",
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" <td>281.871735</td>\n",
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" <td>278.428940</td>\n",
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" <td>267.732156</td>\n",
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" <td>292.596652</td>\n",
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" <td>1.103890e+08</td>\n",
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" <th>2020-05-21</th>\n",
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" <td>292.105626</td>\n",
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" <td>292.971742</td>\n",
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" <td>289.054549</td>\n",
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" <td>290.225769</td>\n",
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" <td>78293900</td>\n",
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" <td>285.741672</td>\n",
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" <td>283.806703</td>\n",
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" <td>267.094627</td>\n",
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" <td>292.529205</td>\n",
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" <td>97655730.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-05-08</th>\n",
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" <td>286.495581</td>\n",
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" <td>288.326240</td>\n",
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" <td>285.284984</td>\n",
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" <td>287.824280</td>\n",
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" <td>76452400</td>\n",
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" <td>282.803787</td>\n",
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" <td>279.129703</td>\n",
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" <td>267.666591</td>\n",
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" <td>292.574995</td>\n",
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" <td>1.047116e+08</td>\n",
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" <th>2020-05-22</th>\n",
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" <td>289.920683</td>\n",
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" <td>290.963951</td>\n",
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" <td>288.591985</td>\n",
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" <td>290.776947</td>\n",
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" <td>63958200</td>\n",
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" <td>286.036938</td>\n",
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" <td>284.420363</td>\n",
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" <td>268.054838</td>\n",
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" <td>292.587587</td>\n",
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" <td>96600480.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-05-11</th>\n",
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" <td>285.757390</td>\n",
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" <td>289.359625</td>\n",
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" <td>285.304659</td>\n",
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" <td>287.883301</td>\n",
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" <td>79514200</td>\n",
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" <td>283.340182</td>\n",
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" <td>279.958412</td>\n",
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" <td>267.626670</td>\n",
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" <td>292.560612</td>\n",
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" <td>1.029454e+08</td>\n",
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" <th>2020-05-26</th>\n",
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" <td>297.164459</td>\n",
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" <td>297.420365</td>\n",
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" <td>290.796577</td>\n",
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" <td>294.359436</td>\n",
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" <td>88951400</td>\n",
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" <td>286.684552</td>\n",
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" <td>285.012367</td>\n",
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" <td>268.671635</td>\n",
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" <td>292.636502</td>\n",
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" <td>97153220.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-05-12</th>\n",
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" <td>289.152972</td>\n",
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" <td>289.595851</td>\n",
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" <td>281.997699</td>\n",
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" <td>282.145355</td>\n",
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" <td>95870800</td>\n",
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" <td>283.432700</td>\n",
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" <td>280.100139</td>\n",
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" <td>267.220916</td>\n",
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" <td>292.507798</td>\n",
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" <td>1.010318e+08</td>\n",
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" <th>2020-05-27</th>\n",
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" <td>297.351478</td>\n",
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" <td>298.778604</td>\n",
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" <td>292.184342</td>\n",
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" <td>298.739227</td>\n",
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" <td>104817400</td>\n",
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" <td>288.343939</td>\n",
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" <td>285.888319</td>\n",
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" <td>269.952733</td>\n",
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" <td>292.717008</td>\n",
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" <td>97130590.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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@@ -309,69 +309,69 @@
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2021-04-29</th>\n",
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" <td>420.320007</td>\n",
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" <td>420.720001</td>\n",
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" <td>416.440002</td>\n",
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||||
" <td>420.059998</td>\n",
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" <td>78544300</td>\n",
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" <td>416.230997</td>\n",
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" <td>412.690996</td>\n",
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" <td>398.270767</td>\n",
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" <td>362.190824</td>\n",
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" <td>6.882898e+07</td>\n",
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" <th>2021-05-13</th>\n",
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||||
" <td>407.070007</td>\n",
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||||
" <td>412.350006</td>\n",
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" <td>407.019989</td>\n",
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||||
" <td>410.279999</td>\n",
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||||
" <td>106394000</td>\n",
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||||
" <td>415.589999</td>\n",
|
||||
" <td>415.910498</td>\n",
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||||
" <td>404.295667</td>\n",
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||||
" <td>367.011310</td>\n",
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||||
" <td>79515840.00</td>\n",
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||||
" </tr>\n",
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" <tr>\n",
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" <th>2021-04-30</th>\n",
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||||
" <td>417.630005</td>\n",
|
||||
" <td>418.540009</td>\n",
|
||||
" <td>416.339996</td>\n",
|
||||
" <td>417.299988</td>\n",
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||||
" <td>85448400</td>\n",
|
||||
" <td>416.234995</td>\n",
|
||||
" <td>413.525496</td>\n",
|
||||
" <td>398.827877</td>\n",
|
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" <td>362.686503</td>\n",
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" <td>6.811726e+07</td>\n",
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" <th>2021-05-14</th>\n",
|
||||
" <td>413.209991</td>\n",
|
||||
" <td>417.489990</td>\n",
|
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" <td>413.179993</td>\n",
|
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" <td>416.579987</td>\n",
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" <td>82123100</td>\n",
|
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" <td>415.517999</td>\n",
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" <td>415.876497</td>\n",
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" <td>405.117861</td>\n",
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" <td>367.487226</td>\n",
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" <td>79520130.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2021-05-03</th>\n",
|
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" <td>419.429993</td>\n",
|
||||
" <td>419.839996</td>\n",
|
||||
" <td>417.670013</td>\n",
|
||||
" <td>418.200012</td>\n",
|
||||
" <td>68128300</td>\n",
|
||||
" <td>416.533997</td>\n",
|
||||
" <td>414.117497</td>\n",
|
||||
" <td>399.416743</td>\n",
|
||||
" <td>363.191922</td>\n",
|
||||
" <td>6.693943e+07</td>\n",
|
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" <th>2021-05-17</th>\n",
|
||||
" <td>415.390015</td>\n",
|
||||
" <td>416.390015</td>\n",
|
||||
" <td>413.359985</td>\n",
|
||||
" <td>415.519989</td>\n",
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||||
" <td>65129200</td>\n",
|
||||
" <td>415.249997</td>\n",
|
||||
" <td>415.891997</td>\n",
|
||||
" <td>405.780709</td>\n",
|
||||
" <td>367.963577</td>\n",
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" <td>78851665.00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2021-05-04</th>\n",
|
||||
" <td>416.070007</td>\n",
|
||||
" <td>416.600006</td>\n",
|
||||
" <td>411.670013</td>\n",
|
||||
" <td>415.619995</td>\n",
|
||||
" <td>101441600</td>\n",
|
||||
" <td>416.878995</td>\n",
|
||||
" <td>414.592497</td>\n",
|
||||
" <td>400.013813</td>\n",
|
||||
" <td>363.679845</td>\n",
|
||||
" <td>6.891046e+07</td>\n",
|
||||
" <th>2021-05-18</th>\n",
|
||||
" <td>415.799988</td>\n",
|
||||
" <td>416.059998</td>\n",
|
||||
" <td>411.769989</td>\n",
|
||||
" <td>411.940002</td>\n",
|
||||
" <td>59266000</td>\n",
|
||||
" <td>414.881998</td>\n",
|
||||
" <td>415.880496</td>\n",
|
||||
" <td>406.410032</td>\n",
|
||||
" <td>368.409374</td>\n",
|
||||
" <td>77722375.00</td>\n",
|
||||
" </tr>\n",
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||||
" <tr>\n",
|
||||
" <th>2021-05-05</th>\n",
|
||||
" <td>417.380005</td>\n",
|
||||
" <td>417.630005</td>\n",
|
||||
" <td>414.945007</td>\n",
|
||||
" <td>416.890015</td>\n",
|
||||
" <td>28129413</td>\n",
|
||||
" <td>416.960995</td>\n",
|
||||
" <td>415.107498</td>\n",
|
||||
" <td>400.626913</td>\n",
|
||||
" <td>364.161266</td>\n",
|
||||
" <td>6.752512e+07</td>\n",
|
||||
" <th>2021-05-19</th>\n",
|
||||
" <td>406.920013</td>\n",
|
||||
" <td>410.250000</td>\n",
|
||||
" <td>405.329987</td>\n",
|
||||
" <td>408.234985</td>\n",
|
||||
" <td>66477971</td>\n",
|
||||
" <td>414.130496</td>\n",
|
||||
" <td>415.488745</td>\n",
|
||||
" <td>406.856610</td>\n",
|
||||
" <td>368.825426</td>\n",
|
||||
" <td>77706623.55</td>\n",
|
||||
" </tr>\n",
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||||
" </tbody>\n",
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||||
"</table>\n",
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@@ -381,31 +381,31 @@
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"text/plain": [
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" open high low close volume \\\n",
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"date \n",
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||||
"2020-05-06 283.493739 283.907093 279.300967 279.763550 73632600 \n",
|
||||
"2020-05-07 283.208307 285.206265 282.598097 283.139404 75250400 \n",
|
||||
"2020-05-08 286.495581 288.326240 285.284984 287.824280 76452400 \n",
|
||||
"2020-05-11 285.757390 289.359625 285.304659 287.883301 79514200 \n",
|
||||
"2020-05-12 289.152972 289.595851 281.997699 282.145355 95870800 \n",
|
||||
"2020-05-20 291.150942 293.168574 290.904888 292.243408 85861700 \n",
|
||||
"2020-05-21 292.105626 292.971742 289.054549 290.225769 78293900 \n",
|
||||
"2020-05-22 289.920683 290.963951 288.591985 290.776947 63958200 \n",
|
||||
"2020-05-26 297.164459 297.420365 290.796577 294.359436 88951400 \n",
|
||||
"2020-05-27 297.351478 298.778604 292.184342 298.739227 104817400 \n",
|
||||
"... ... ... ... ... ... \n",
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||||
"2021-04-29 420.320007 420.720001 416.440002 420.059998 78544300 \n",
|
||||
"2021-04-30 417.630005 418.540009 416.339996 417.299988 85448400 \n",
|
||||
"2021-05-03 419.429993 419.839996 417.670013 418.200012 68128300 \n",
|
||||
"2021-05-04 416.070007 416.600006 411.670013 415.619995 101441600 \n",
|
||||
"2021-05-05 417.380005 417.630005 414.945007 416.890015 28129413 \n",
|
||||
"2021-05-13 407.070007 412.350006 407.019989 410.279999 106394000 \n",
|
||||
"2021-05-14 413.209991 417.489990 413.179993 416.579987 82123100 \n",
|
||||
"2021-05-17 415.390015 416.390015 413.359985 415.519989 65129200 \n",
|
||||
"2021-05-18 415.799988 416.059998 411.769989 411.940002 59266000 \n",
|
||||
"2021-05-19 406.920013 410.250000 405.329987 408.234985 66477971 \n",
|
||||
"\n",
|
||||
" sma_10 sma_20 sma_50 sma_200 vol_sma_20 \n",
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"date \n",
|
||||
"2020-05-06 281.025305 277.757211 268.165192 292.634901 1.143152e+08 \n",
|
||||
"2020-05-07 281.871735 278.428940 267.732156 292.596652 1.103890e+08 \n",
|
||||
"2020-05-08 282.803787 279.129703 267.666591 292.574995 1.047116e+08 \n",
|
||||
"2020-05-11 283.340182 279.958412 267.626670 292.560612 1.029454e+08 \n",
|
||||
"2020-05-12 283.432700 280.100139 267.220916 292.507798 1.010318e+08 \n",
|
||||
"... ... ... ... ... ... \n",
|
||||
"2021-04-29 416.230997 412.690996 398.270767 362.190824 6.882898e+07 \n",
|
||||
"2021-04-30 416.234995 413.525496 398.827877 362.686503 6.811726e+07 \n",
|
||||
"2021-05-03 416.533997 414.117497 399.416743 363.191922 6.693943e+07 \n",
|
||||
"2021-05-04 416.878995 414.592497 400.013813 363.679845 6.891046e+07 \n",
|
||||
"2021-05-05 416.960995 415.107498 400.626913 364.161266 6.752512e+07 \n",
|
||||
" sma_10 sma_20 sma_50 sma_200 vol_sma_20 \n",
|
||||
"date \n",
|
||||
"2020-05-20 285.033035 283.029170 266.659134 292.472755 98976520.00 \n",
|
||||
"2020-05-21 285.741672 283.806703 267.094627 292.529205 97655730.00 \n",
|
||||
"2020-05-22 286.036938 284.420363 268.054838 292.587587 96600480.00 \n",
|
||||
"2020-05-26 286.684552 285.012367 268.671635 292.636502 97153220.00 \n",
|
||||
"2020-05-27 288.343939 285.888319 269.952733 292.717008 97130590.00 \n",
|
||||
"... ... ... ... ... ... \n",
|
||||
"2021-05-13 415.589999 415.910498 404.295667 367.011310 79515840.00 \n",
|
||||
"2021-05-14 415.517999 415.876497 405.117861 367.487226 79520130.00 \n",
|
||||
"2021-05-17 415.249997 415.891997 405.780709 367.963577 78851665.00 \n",
|
||||
"2021-05-18 414.881998 415.880496 406.410032 368.409374 77722375.00 \n",
|
||||
"2021-05-19 414.130496 415.488745 406.856610 368.825426 77706623.55 \n",
|
||||
"\n",
|
||||
"[252 rows x 10 columns]"
|
||||
]
|
||||
@@ -491,64 +491,64 @@
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-04-29</th>\n",
|
||||
" <td>416.230997</td>\n",
|
||||
" <td>412.690996</td>\n",
|
||||
" <td>398.270767</td>\n",
|
||||
" <td>362.190824</td>\n",
|
||||
" <td>68828980.00</td>\n",
|
||||
" <td>416.731457</td>\n",
|
||||
" <td>411.279275</td>\n",
|
||||
" <td>401.000737</td>\n",
|
||||
" <td>0.006373</td>\n",
|
||||
" <th>2021-05-13</th>\n",
|
||||
" <td>415.589999</td>\n",
|
||||
" <td>415.910498</td>\n",
|
||||
" <td>404.295667</td>\n",
|
||||
" <td>367.011310</td>\n",
|
||||
" <td>79515840.00</td>\n",
|
||||
" <td>413.680581</td>\n",
|
||||
" <td>413.448932</td>\n",
|
||||
" <td>405.708303</td>\n",
|
||||
" <td>0.012013</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-04-30</th>\n",
|
||||
" <td>416.234995</td>\n",
|
||||
" <td>413.525496</td>\n",
|
||||
" <td>398.827877</td>\n",
|
||||
" <td>362.686503</td>\n",
|
||||
" <td>68117255.00</td>\n",
|
||||
" <td>416.857798</td>\n",
|
||||
" <td>411.826612</td>\n",
|
||||
" <td>401.639924</td>\n",
|
||||
" <td>-0.006571</td>\n",
|
||||
" <th>2021-05-14</th>\n",
|
||||
" <td>415.517999</td>\n",
|
||||
" <td>415.876497</td>\n",
|
||||
" <td>405.117861</td>\n",
|
||||
" <td>367.487226</td>\n",
|
||||
" <td>79520130.00</td>\n",
|
||||
" <td>414.324894</td>\n",
|
||||
" <td>413.733573</td>\n",
|
||||
" <td>406.134643</td>\n",
|
||||
" <td>0.015355</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-05-03</th>\n",
|
||||
" <td>416.533997</td>\n",
|
||||
" <td>414.117497</td>\n",
|
||||
" <td>399.416743</td>\n",
|
||||
" <td>363.191922</td>\n",
|
||||
" <td>66939430.00</td>\n",
|
||||
" <td>417.156067</td>\n",
|
||||
" <td>412.406012</td>\n",
|
||||
" <td>402.289339</td>\n",
|
||||
" <td>0.002157</td>\n",
|
||||
" <th>2021-05-17</th>\n",
|
||||
" <td>415.249997</td>\n",
|
||||
" <td>415.891997</td>\n",
|
||||
" <td>405.780709</td>\n",
|
||||
" <td>367.963577</td>\n",
|
||||
" <td>78851665.00</td>\n",
|
||||
" <td>414.590470</td>\n",
|
||||
" <td>413.895974</td>\n",
|
||||
" <td>406.502696</td>\n",
|
||||
" <td>-0.002545</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-05-04</th>\n",
|
||||
" <td>416.878995</td>\n",
|
||||
" <td>414.592497</td>\n",
|
||||
" <td>400.013813</td>\n",
|
||||
" <td>363.679845</td>\n",
|
||||
" <td>68910460.00</td>\n",
|
||||
" <td>416.814718</td>\n",
|
||||
" <td>412.698193</td>\n",
|
||||
" <td>402.812110</td>\n",
|
||||
" <td>-0.006169</td>\n",
|
||||
" <th>2021-05-18</th>\n",
|
||||
" <td>414.881998</td>\n",
|
||||
" <td>415.880496</td>\n",
|
||||
" <td>406.410032</td>\n",
|
||||
" <td>368.409374</td>\n",
|
||||
" <td>77722375.00</td>\n",
|
||||
" <td>414.001478</td>\n",
|
||||
" <td>413.718159</td>\n",
|
||||
" <td>406.715924</td>\n",
|
||||
" <td>-0.008616</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-05-05</th>\n",
|
||||
" <td>416.960995</td>\n",
|
||||
" <td>415.107498</td>\n",
|
||||
" <td>400.626913</td>\n",
|
||||
" <td>364.161266</td>\n",
|
||||
" <td>67525115.65</td>\n",
|
||||
" <td>416.831451</td>\n",
|
||||
" <td>413.079267</td>\n",
|
||||
" <td>403.364184</td>\n",
|
||||
" <td>0.003056</td>\n",
|
||||
" <th>2021-05-19</th>\n",
|
||||
" <td>414.130496</td>\n",
|
||||
" <td>415.488745</td>\n",
|
||||
" <td>406.856610</td>\n",
|
||||
" <td>368.825426</td>\n",
|
||||
" <td>77706623.55</td>\n",
|
||||
" <td>412.720035</td>\n",
|
||||
" <td>413.219688</td>\n",
|
||||
" <td>406.775495</td>\n",
|
||||
" <td>-0.008994</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
@@ -557,19 +557,19 @@
|
||||
"text/plain": [
|
||||
" sma_10 sma_20 sma_50 sma_200 vol_sma_20 \\\n",
|
||||
"date \n",
|
||||
"2021-04-29 416.230997 412.690996 398.270767 362.190824 68828980.00 \n",
|
||||
"2021-04-30 416.234995 413.525496 398.827877 362.686503 68117255.00 \n",
|
||||
"2021-05-03 416.533997 414.117497 399.416743 363.191922 66939430.00 \n",
|
||||
"2021-05-04 416.878995 414.592497 400.013813 363.679845 68910460.00 \n",
|
||||
"2021-05-05 416.960995 415.107498 400.626913 364.161266 67525115.65 \n",
|
||||
"2021-05-13 415.589999 415.910498 404.295667 367.011310 79515840.00 \n",
|
||||
"2021-05-14 415.517999 415.876497 405.117861 367.487226 79520130.00 \n",
|
||||
"2021-05-17 415.249997 415.891997 405.780709 367.963577 78851665.00 \n",
|
||||
"2021-05-18 414.881998 415.880496 406.410032 368.409374 77722375.00 \n",
|
||||
"2021-05-19 414.130496 415.488745 406.856610 368.825426 77706623.55 \n",
|
||||
"\n",
|
||||
" EMA_8 EMA_21 EMA_50 PCTRET_1 \n",
|
||||
"date \n",
|
||||
"2021-04-29 416.731457 411.279275 401.000737 0.006373 \n",
|
||||
"2021-04-30 416.857798 411.826612 401.639924 -0.006571 \n",
|
||||
"2021-05-03 417.156067 412.406012 402.289339 0.002157 \n",
|
||||
"2021-05-04 416.814718 412.698193 402.812110 -0.006169 \n",
|
||||
"2021-05-05 416.831451 413.079267 403.364184 0.003056 "
|
||||
"2021-05-13 413.680581 413.448932 405.708303 0.012013 \n",
|
||||
"2021-05-14 414.324894 413.733573 406.134643 0.015355 \n",
|
||||
"2021-05-17 414.590470 413.895974 406.502696 -0.002545 \n",
|
||||
"2021-05-18 414.001478 413.718159 406.715924 -0.008616 \n",
|
||||
"2021-05-19 412.720035 413.219688 406.775495 -0.008994 "
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
@@ -646,39 +646,39 @@
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-04-29</th>\n",
|
||||
" <th>2021-05-13</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-04-30</th>\n",
|
||||
" <th>2021-05-14</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-05-03</th>\n",
|
||||
" <th>2021-05-17</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-05-04</th>\n",
|
||||
" <th>2021-05-18</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-05-05</th>\n",
|
||||
" <th>2021-05-19</th>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>-1</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
@@ -687,11 +687,11 @@
|
||||
"text/plain": [
|
||||
" TS_Trends TS_Trades TS_Entries TS_Exits\n",
|
||||
"date \n",
|
||||
"2021-04-29 1 0 0 0\n",
|
||||
"2021-04-30 1 0 0 0\n",
|
||||
"2021-05-03 1 0 0 0\n",
|
||||
"2021-05-04 1 0 0 0\n",
|
||||
"2021-05-05 1 0 0 0"
|
||||
"2021-05-13 1 0 0 0\n",
|
||||
"2021-05-14 1 0 0 0\n",
|
||||
"2021-05-17 1 0 0 0\n",
|
||||
"2021-05-18 1 0 0 0\n",
|
||||
"2021-05-19 0 -1 0 1"
|
||||
]
|
||||
},
|
||||
"execution_count": 8,
|
||||
@@ -721,12 +721,9 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Current Trade:\n",
|
||||
"Price Entry | Last:\t388.3082 | 416.8900\n",
|
||||
"Unrealized PnL | %:\t28.5818 | 7.3606%\n",
|
||||
"\n",
|
||||
"Trades Total | Round Trip:\t7 | 3\n",
|
||||
"Trade Coverage: 81.35%\n"
|
||||
"Trades Total | Round Trip:\t10 | 5\n",
|
||||
"Trade Coverage: 80.56%\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -763,9 +760,21 @@
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-06-04</th>\n",
|
||||
" <th>2020-06-18</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>306.445618</td>\n",
|
||||
" <td>306.859009</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-06-29</th>\n",
|
||||
" <td>-1</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td>300.973206</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-06-30</th>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>304.828522</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
@@ -804,6 +813,12 @@
|
||||
" <td>388.308197</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2021-05-19</th>\n",
|
||||
" <td>-1</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td>408.234985</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
@@ -811,13 +826,16 @@
|
||||
"text/plain": [
|
||||
" Signal Entry Exit\n",
|
||||
"date \n",
|
||||
"2020-06-04 1 306.445618 NaN\n",
|
||||
"2020-06-18 1 306.859009 NaN\n",
|
||||
"2020-06-29 -1 NaN 300.973206\n",
|
||||
"2020-06-30 1 304.828522 NaN\n",
|
||||
"2020-09-11 -1 NaN 330.234192\n",
|
||||
"2020-10-05 1 337.213409 NaN\n",
|
||||
"2020-10-28 -1 NaN 324.211609\n",
|
||||
"2020-11-05 1 347.614868 NaN\n",
|
||||
"2021-03-03 -1 NaN 380.174835\n",
|
||||
"2021-03-10 1 388.308197 NaN"
|
||||
"2021-03-10 1 388.308197 NaN\n",
|
||||
"2021-05-19 -1 NaN 408.234985"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
@@ -911,7 +929,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<AxesSubplot:title={'center':'\\nSPY [D for 1y(252 bars)] from Wednesday 5-6-2020 to Wednesday 5-5-2021\\nLast OHLCV: (417.3800, 417.6300, 414.9450, 416.8900, 28129413)\\nWednesday May 5, 2021, NYSE: 5:50:45, Local: 9:50:45 PDT, Day 125/365 (34.00%)'}, xlabel='date'>"
|
||||
"<AxesSubplot:title={'center':'\\nSPY [D for 1y(252 bars)] from Wednesday 5-20-2020 to Wednesday 5-19-2021\\nLast OHLCV: (406.9200, 410.2500, 405.3300, 408.2350, 66477971)\\nWednesday May 19, 2021, NYSE: 7:20:10, Local: 11:20:10 PDT, Day 139/365 (38.00%)'}, xlabel='date'>"
|
||||
]
|
||||
},
|
||||
"execution_count": 11,
|
||||
@@ -920,7 +938,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1152x720 with 1 Axes>"
|
||||
]
|
||||
@@ -963,7 +981,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1152x61.2 with 1 Axes>"
|
||||
]
|
||||
@@ -1007,7 +1025,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1152x108 with 1 Axes>"
|
||||
]
|
||||
@@ -1038,7 +1056,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<matplotlib.lines.Line2D at 0x12cea1910>"
|
||||
"<matplotlib.lines.Line2D at 0x12f2f8fa0>"
|
||||
]
|
||||
},
|
||||
"execution_count": 14,
|
||||
@@ -1047,7 +1065,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1152x216 with 1 Axes>"
|
||||
]
|
||||
@@ -1078,7 +1096,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<matplotlib.lines.Line2D at 0x12d14e610>"
|
||||
"<matplotlib.lines.Line2D at 0x12f280af0>"
|
||||
]
|
||||
},
|
||||
"execution_count": 15,
|
||||
@@ -1087,7 +1105,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1152x216 with 1 Axes>"
|
||||
]
|
||||
|
||||
File diff suppressed because it is too large.
Load diff
@@ -199,6 +199,10 @@
|
||||
" <td>False</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>use_numba</th>\n",
|
||||
" <td>True</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>seed</th>\n",
|
||||
" <td>None</td>\n",
|
||||
" </tr>\n",
|
||||
@@ -246,6 +250,7 @@
|
||||
"order_direction all\n",
|
||||
"cash_sharing False\n",
|
||||
"row_wise False\n",
|
||||
"use_numba True\n",
|
||||
"seed None\n",
|
||||
"freq 1D\n",
|
||||
"incl_unrealized False\n",
|
||||
@@ -446,8 +451,8 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[i] Downloading: SPY, QQQ\n",
|
||||
"[+] SPY(7121, 7) Monday May 10, 2021, NYSE: 11:48:57\n",
|
||||
"[+] QQQ(5579, 7) Monday May 10, 2021, NYSE: 11:48:59\n",
|
||||
"[+] SPY(7128, 7) Wednesday May 19, 2021, NYSE: 7:18:34\n",
|
||||
"[+] QQQ(5586, 7) Wednesday May 19, 2021, NYSE: 7:18:36\n",
|
||||
"[*] Download Complete\n",
|
||||
"\n"
|
||||
]
|
||||
@@ -468,9 +473,9 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[i] Downloading: AAPL, TSLA, TWTR\n",
|
||||
"[+] AAPL(10188, 7) Monday May 10, 2021, NYSE: 11:49:01\n",
|
||||
"[+] TSLA(2735, 7) Monday May 10, 2021, NYSE: 11:49:03\n",
|
||||
"[+] TWTR(1888, 7) Monday May 10, 2021, NYSE: 11:49:06\n",
|
||||
"[+] AAPL(10195, 7) Wednesday May 19, 2021, NYSE: 7:18:39\n",
|
||||
"[+] TSLA(2742, 7) Wednesday May 19, 2021, NYSE: 7:18:40\n",
|
||||
"[+] TWTR(1895, 7) Wednesday May 19, 2021, NYSE: 7:18:42\n",
|
||||
"[*] Download Complete\n",
|
||||
"\n"
|
||||
]
|
||||
@@ -1372,41 +1377,41 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"Run Time Monday May 10, 2021, NYSE: 11:49:06\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Buy and Hold\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol SPY\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 1.945272\n",
|
||||
"Total Return [%] 1.945272\n",
|
||||
"Benchmark Return [%] 2.455635\n",
|
||||
"Position Coverage [%] 100.0\n",
|
||||
"Max. Drawdown [%] 55.189436\n",
|
||||
"Avg. Drawdown [%] 2.615867\n",
|
||||
"Max. Drawdown Duration 562 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 24 days 01:55:11.999999999\n",
|
||||
"Num. Trades 0\n",
|
||||
"Gross Exposure 1.0\n",
|
||||
"Sharpe Ratio 0.163325\n",
|
||||
"Sortino Ratio 0.231223\n",
|
||||
"Calmar Ratio 0.010149\n",
|
||||
"Annual Return [%] 0.560106\n",
|
||||
"Annual Volatility [%] 28.894472\n",
|
||||
"Omega Ratio 1.028442\n",
|
||||
"Skew 0.426804\n",
|
||||
"Kurtosis 14.956038\n",
|
||||
"Tail Ratio 0.88191\n",
|
||||
"Common Sense Ratio 0.88685\n",
|
||||
"Value at Risk -0.022291\n",
|
||||
"Alpha -0.001443\n",
|
||||
"Beta 1.000002\n",
|
||||
"Run Time Wednesday May 19, 2021, NYSE: 7:18:48\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Buy and Hold\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol SPY\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 1.945272\n",
|
||||
"Total Return [%] 1.945272\n",
|
||||
"Benchmark Return [%] 2.455635\n",
|
||||
"Position Coverage [%] 100.0\n",
|
||||
"Max. Drawdown [%] 55.189436\n",
|
||||
"Avg. Drawdown [%] 2.615867\n",
|
||||
"Max. Drawdown Duration 562 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 24 days 01:55:11.999999999\n",
|
||||
"Num. Trades 0\n",
|
||||
"Gross Exposure 1.0\n",
|
||||
"Sharpe Ratio 0.163325\n",
|
||||
"Sortino Ratio 0.231223\n",
|
||||
"Calmar Ratio 0.010149\n",
|
||||
"Annual Return [%] 0.560106\n",
|
||||
"Annual Volatility [%] 28.894472\n",
|
||||
"Omega Ratio 1.028442\n",
|
||||
"Skew 0.426804\n",
|
||||
"Kurtosis 14.956038\n",
|
||||
"Tail Ratio 0.88191\n",
|
||||
"Common Sense Ratio 0.88685\n",
|
||||
"Value at Risk -0.022291\n",
|
||||
"Alpha -0.001443\n",
|
||||
"Beta 1.000002\n",
|
||||
"dtype: object"
|
||||
]
|
||||
},
|
||||
@@ -1454,41 +1459,41 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"Run Time Monday May 10, 2021, NYSE: 11:49:07\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Buy and Hold\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol AAPL\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 562.60143\n",
|
||||
"Total Return [%] 562.60143\n",
|
||||
"Benchmark Return [%] 565.918578\n",
|
||||
"Position Coverage [%] 100.0\n",
|
||||
"Max. Drawdown [%] 60.866748\n",
|
||||
"Avg. Drawdown [%] 6.076352\n",
|
||||
"Max. Drawdown Duration 457 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 22 days 17:32:18.461538461\n",
|
||||
"Num. Trades 0\n",
|
||||
"Gross Exposure 1.0\n",
|
||||
"Sharpe Ratio 1.329387\n",
|
||||
"Sortino Ratio 1.982724\n",
|
||||
"Calmar Ratio 1.199638\n",
|
||||
"Annual Return [%] 73.018058\n",
|
||||
"Annual Volatility [%] 51.088459\n",
|
||||
"Omega Ratio 1.209774\n",
|
||||
"Skew -0.0376\n",
|
||||
"Kurtosis 3.435275\n",
|
||||
"Tail Ratio 1.037861\n",
|
||||
"Common Sense Ratio 1.795687\n",
|
||||
"Value at Risk -0.041247\n",
|
||||
"Alpha -0.00145\n",
|
||||
"Beta 1.00001\n",
|
||||
"Run Time Wednesday May 19, 2021, NYSE: 7:19:00\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Buy and Hold\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol AAPL\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 562.60143\n",
|
||||
"Total Return [%] 562.60143\n",
|
||||
"Benchmark Return [%] 565.918578\n",
|
||||
"Position Coverage [%] 100.0\n",
|
||||
"Max. Drawdown [%] 60.866748\n",
|
||||
"Avg. Drawdown [%] 6.076352\n",
|
||||
"Max. Drawdown Duration 457 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 22 days 17:32:18.461538461\n",
|
||||
"Num. Trades 0\n",
|
||||
"Gross Exposure 1.0\n",
|
||||
"Sharpe Ratio 1.329387\n",
|
||||
"Sortino Ratio 1.982724\n",
|
||||
"Calmar Ratio 1.199638\n",
|
||||
"Annual Return [%] 73.018058\n",
|
||||
"Annual Volatility [%] 51.088459\n",
|
||||
"Omega Ratio 1.209774\n",
|
||||
"Skew -0.0376\n",
|
||||
"Kurtosis 3.435275\n",
|
||||
"Tail Ratio 1.037861\n",
|
||||
"Common Sense Ratio 1.795687\n",
|
||||
"Value at Risk -0.041247\n",
|
||||
"Alpha -0.00145\n",
|
||||
"Beta 1.00001\n",
|
||||
"dtype: object"
|
||||
]
|
||||
},
|
||||
@@ -1539,49 +1544,49 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"Run Time Monday May 10, 2021, NYSE: 11:49:07\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Long Strategy\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol SPY\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 49.766868\n",
|
||||
"Total Return [%] 49.766868\n",
|
||||
"Benchmark Return [%] 2.455635\n",
|
||||
"Position Coverage [%] 52.819698\n",
|
||||
"Max. Drawdown [%] 10.131765\n",
|
||||
"Avg. Drawdown [%] 1.723872\n",
|
||||
"Max. Drawdown Duration 451 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 17 days 20:34:17.142857143\n",
|
||||
"Num. Trades 2\n",
|
||||
"Win Rate [%] 100.0\n",
|
||||
"Best Trade [%] 14.916866\n",
|
||||
"Worst Trade [%] 6.746063\n",
|
||||
"Avg. Trade [%] 10.831464\n",
|
||||
"Max. Trade Duration 335 days 00:00:00\n",
|
||||
"Avg. Trade Duration 264 days 00:00:00\n",
|
||||
"Expectancy 11.305097\n",
|
||||
"SQN 2.470596\n",
|
||||
"Gross Exposure 0.528197\n",
|
||||
"Sharpe Ratio 1.009581\n",
|
||||
"Sortino Ratio 1.431911\n",
|
||||
"Calmar Ratio 1.226146\n",
|
||||
"Annual Return [%] 12.423018\n",
|
||||
"Annual Volatility [%] 12.357496\n",
|
||||
"Omega Ratio 1.224227\n",
|
||||
"Skew -0.412954\n",
|
||||
"Kurtosis 6.272176\n",
|
||||
"Tail Ratio 1.032277\n",
|
||||
"Common Sense Ratio 1.160517\n",
|
||||
"Value at Risk -0.010296\n",
|
||||
"Alpha 0.122838\n",
|
||||
"Beta 0.182612\n",
|
||||
"Run Time Wednesday May 19, 2021, NYSE: 7:19:02\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Long Strategy\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol SPY\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 49.766868\n",
|
||||
"Total Return [%] 49.766868\n",
|
||||
"Benchmark Return [%] 2.455635\n",
|
||||
"Position Coverage [%] 52.819698\n",
|
||||
"Max. Drawdown [%] 10.131765\n",
|
||||
"Avg. Drawdown [%] 1.723872\n",
|
||||
"Max. Drawdown Duration 451 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 17 days 20:34:17.142857143\n",
|
||||
"Num. Trades 2\n",
|
||||
"Win Rate [%] 100.0\n",
|
||||
"Best Trade [%] 14.916866\n",
|
||||
"Worst Trade [%] 6.746063\n",
|
||||
"Avg. Trade [%] 10.831464\n",
|
||||
"Max. Trade Duration 335 days 00:00:00\n",
|
||||
"Avg. Trade Duration 264 days 00:00:00\n",
|
||||
"Expectancy 11.305097\n",
|
||||
"SQN 2.470596\n",
|
||||
"Gross Exposure 0.528197\n",
|
||||
"Sharpe Ratio 1.009581\n",
|
||||
"Sortino Ratio 1.431911\n",
|
||||
"Calmar Ratio 1.226146\n",
|
||||
"Annual Return [%] 12.423018\n",
|
||||
"Annual Volatility [%] 12.357496\n",
|
||||
"Omega Ratio 1.224227\n",
|
||||
"Skew -0.412954\n",
|
||||
"Kurtosis 6.272176\n",
|
||||
"Tail Ratio 1.032277\n",
|
||||
"Common Sense Ratio 1.160517\n",
|
||||
"Value at Risk -0.010296\n",
|
||||
"Alpha 0.122838\n",
|
||||
"Beta 0.182612\n",
|
||||
"dtype: object"
|
||||
]
|
||||
},
|
||||
@@ -1630,49 +1635,49 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"Run Time Monday May 10, 2021, NYSE: 11:49:08\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Long Strategy\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol AAPL\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 98.993099\n",
|
||||
"Total Return [%] 98.993099\n",
|
||||
"Benchmark Return [%] 565.918578\n",
|
||||
"Position Coverage [%] 62.271644\n",
|
||||
"Max. Drawdown [%] 59.898137\n",
|
||||
"Avg. Drawdown [%] 6.193394\n",
|
||||
"Max. Drawdown Duration 506 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 32 days 01:30:00\n",
|
||||
"Num. Trades 3\n",
|
||||
"Win Rate [%] 66.666667\n",
|
||||
"Best Trade [%] 58.200243\n",
|
||||
"Worst Trade [%] -33.15062\n",
|
||||
"Avg. Trade [%] 10.753768\n",
|
||||
"Max. Trade Duration 363 days 00:00:00\n",
|
||||
"Avg. Trade Duration 207 days 08:00:00\n",
|
||||
"Expectancy 4.466566\n",
|
||||
"SQN 0.130735\n",
|
||||
"Gross Exposure 0.622716\n",
|
||||
"Sharpe Ratio 0.739016\n",
|
||||
"Sortino Ratio 1.08289\n",
|
||||
"Calmar Ratio 0.36859\n",
|
||||
"Annual Return [%] 22.077862\n",
|
||||
"Annual Volatility [%] 35.543979\n",
|
||||
"Omega Ratio 1.140899\n",
|
||||
"Skew 0.024374\n",
|
||||
"Kurtosis 4.672291\n",
|
||||
"Tail Ratio 1.095481\n",
|
||||
"Common Sense Ratio 1.337339\n",
|
||||
"Value at Risk -0.029217\n",
|
||||
"Alpha -0.063652\n",
|
||||
"Beta 0.482566\n",
|
||||
"Run Time Wednesday May 19, 2021, NYSE: 7:19:03\n",
|
||||
"Mode TEST\n",
|
||||
"Strategy Long Strategy\n",
|
||||
"Direction longonly\n",
|
||||
"Symbol AAPL\n",
|
||||
"Fees [%] 0.25\n",
|
||||
"Slippage [%] 0.25\n",
|
||||
"Accumulate False\n",
|
||||
"Start 2005-01-03 00:00:00\n",
|
||||
"End 2009-12-31 00:00:00\n",
|
||||
"Duration 1259 days 00:00:00\n",
|
||||
"Init. Cash 100.0\n",
|
||||
"Total Profit 98.993099\n",
|
||||
"Total Return [%] 98.993099\n",
|
||||
"Benchmark Return [%] 565.918578\n",
|
||||
"Position Coverage [%] 62.271644\n",
|
||||
"Max. Drawdown [%] 59.898137\n",
|
||||
"Avg. Drawdown [%] 6.193394\n",
|
||||
"Max. Drawdown Duration 506 days 00:00:00\n",
|
||||
"Avg. Drawdown Duration 32 days 01:30:00\n",
|
||||
"Num. Trades 3\n",
|
||||
"Win Rate [%] 66.666667\n",
|
||||
"Best Trade [%] 58.200243\n",
|
||||
"Worst Trade [%] -33.15062\n",
|
||||
"Avg. Trade [%] 10.753768\n",
|
||||
"Max. Trade Duration 363 days 00:00:00\n",
|
||||
"Avg. Trade Duration 207 days 08:00:00\n",
|
||||
"Expectancy 4.466566\n",
|
||||
"SQN 0.130735\n",
|
||||
"Gross Exposure 0.622716\n",
|
||||
"Sharpe Ratio 0.739016\n",
|
||||
"Sortino Ratio 1.08289\n",
|
||||
"Calmar Ratio 0.36859\n",
|
||||
"Annual Return [%] 22.077862\n",
|
||||
"Annual Volatility [%] 35.543979\n",
|
||||
"Omega Ratio 1.140899\n",
|
||||
"Skew 0.024374\n",
|
||||
"Kurtosis 4.672291\n",
|
||||
"Tail Ratio 1.095481\n",
|
||||
"Common Sense Ratio 1.337339\n",
|
||||
"Value at Risk -0.029217\n",
|
||||
"Alpha -0.063652\n",
|
||||
"Beta 0.482566\n",
|
||||
"dtype: object"
|
||||
]
|
||||
},
|
||||
|
||||
+74
-74
@@ -66,9 +66,9 @@
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Pandas TA - Technical Analysis Indicators - v0.2.74b0\n",
|
||||
"Total Indicators: 199\n",
|
||||
"Total Indicators & Utilities: 200\n",
|
||||
"Abbreviations:\n",
|
||||
" aberration, above, above_value, accbands, ad, adosc, adx, alma, amat, ao, aobv, apo, aroon, atr, bbands, below, below_value, bias, bop, brar, cci, cdl_pattern, cdl_z, cfo, cg, chop, cksp, cmf, cmo, coppock, cross, cross_value, cti, decay, decreasing, dema, donchian, dpo, ebsw, efi, ema, entropy, eom, er, eri, fisher, fwma, ha, hilo, hl2, hlc3, hma, hwc, hwma, ichimoku, increasing, inertia, kama, kc, kdj, kst, kurtosis, kvo, linreg, log_return, long_run, macd, mad, massi, mcgd, median, mfi, midpoint, midprice, mom, natr, nvi, obv, ohlc4, pdist, percent_return, pgo, ppo, psar, psl, pvi, pvo, pvol, pvr, pvt, pwma, qqe, qstick, quantile, rma, roc, rsi, rsx, rvgi, rvi, short_run, sinwma, skew, slope, sma, smi, squeeze, ssf, stc, stdev, stoch, stochrsi, supertrend, swma, t3, td_seq, tema, thermo, trima, trix, true_range, tsi, tsignals, ttm_trend, ui, uo, variance, vidya, vortex, vp, vwap, vwma, wcp, willr, wma, zlma, zscore\n",
|
||||
" aberration, above, above_value, accbands, ad, adosc, adx, alma, amat, ao, aobv, apo, aroon, atr, bbands, below, below_value, bias, bop, brar, cci, cdl_pattern, cdl_z, cfo, cg, chop, cksp, cmf, cmo, coppock, cross, cross_value, cti, decay, decreasing, dema, donchian, dpo, ebsw, efi, ema, entropy, eom, er, eri, fisher, fwma, ha, hilo, hl2, hlc3, hma, hwc, hwma, ichimoku, increasing, inertia, kama, kc, kdj, kst, kurtosis, kvo, linreg, log_return, long_run, macd, mad, massi, mcgd, median, mfi, midpoint, midprice, mom, natr, nvi, obv, ohlc4, pdist, percent_return, pgo, ppo, psar, psl, pvi, pvo, pvol, pvr, pvt, pwma, qqe, qstick, quantile, rma, roc, rsi, rsx, rvgi, rvi, short_run, sinwma, skew, slope, sma, smi, squeeze, ssf, stc, stdev, stoch, stochrsi, supertrend, swma, t3, td_seq, tema, thermo, trima, trix, true_range, tsi, tsignals, ttm_trend, ui, uo, variance, vhf, vidya, vortex, vp, vwap, vwma, wcp, willr, wma, zlma, zscore\n",
|
||||
"\n",
|
||||
"Candle Patterns:\n",
|
||||
" 2crows, 3blackcrows, 3inside, 3linestrike, 3outside, 3starsinsouth, 3whitesoldiers, abandonedbaby, advanceblock, belthold, breakaway, closingmarubozu, concealbabyswall, counterattack, darkcloudcover, doji, dojistar, dragonflydoji, engulfing, eveningdojistar, eveningstar, gapsidesidewhite, gravestonedoji, hammer, hangingman, harami, haramicross, highwave, hikkake, hikkakemod, homingpigeon, identical3crows, inneck, inside, invertedhammer, kicking, kickingbylength, ladderbottom, longleggeddoji, longline, marubozu, matchinglow, mathold, morningdojistar, morningstar, onneck, piercing, rickshawman, risefall3methods, separatinglines, shootingstar, shortline, spinningtop, stalledpattern, sticksandwich, takuri, tasukigap, thrusting, tristar, unique3river, upsidegap2crows, xsidegap3methods\n"
|
||||
@@ -216,28 +216,28 @@
|
||||
"==== Market Information =====================================================\n",
|
||||
"Market | Exchange | Symbol | Category US | PCX | SPY | Large Blend\n",
|
||||
"\n",
|
||||
"NAV | Yield 415.32 | 1.4100%\n",
|
||||
"NAV | Yield 415.49 | 1.3300%\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"==== Price Information =====================================================\n",
|
||||
"Open High Low | Close 417.3800 417.3800 414.9450 | 416.9800\n",
|
||||
"HL2 | HLC3 | OHLC4 | C - OHLC4 416.2875, 416.5183, 416.7337, 0.2463\n",
|
||||
"Change (%) 1.3600 (0.3272%)\n",
|
||||
"Bid | Ask | Spread 417.11 x 1400 | 417.12 x 1400 | 0.0100\n",
|
||||
"Open High Low | Close 406.9200 406.9200 405.3300 | 410.3900\n",
|
||||
"HL2 | HLC3 | OHLC4 | C - OHLC4 407.8750, 408.7133, 408.2650, 2.1250\n",
|
||||
"Change (%) -1.5500 (-0.3763%)\n",
|
||||
"Bid | Ask | Spread 408.17 x 1100 | 408.28 x 800 | 0.1100\n",
|
||||
"Volume | Market | Avg Vol (10Day) \n",
|
||||
" 28,048,255 | 28,048,255 | 83,627,572 (69,755,285)\n",
|
||||
" 67,823,972 | 67,823,972 | 88,574,750 (92,351,957)\n",
|
||||
"\n",
|
||||
"52Wk Range (% from 52Wk Low) 272.99 - 420.72 : 147.7300 (52.7455%)\n",
|
||||
"SMA 50 | SMA 200 406.3200 | 379.5020\n",
|
||||
"Avg. Return 3Yr | 5Yr 18.9100% | 17.3700%\n",
|
||||
"52Wk Range (% from 52Wk Low) 293.22 - 422.82 : 129.6000 (39.9598%)\n",
|
||||
"SMA 50 | SMA 200 412.7091 | 385.1603\n",
|
||||
"Avg. Return 3Yr | 5Yr 17.2700% | 17.3700%\n",
|
||||
"\n",
|
||||
"==== Dividends / Splits =====================================================\n",
|
||||
"\n",
|
||||
"Stock Splits (Last 5 of 114):\n",
|
||||
"Date 2021-03-19 2020-12-18 2020-09-18 2020-06-19 2020-03-20\n",
|
||||
"Ratio 1.278 1.58 1.339 1.366 1.406\n",
|
||||
"SPY(252, 7) from 2020-05-06 00:00:00 to 2021-05-05 00:00:00\n"
|
||||
"SPY(252, 7) from 2020-05-20 00:00:00 to 2021-05-19 00:00:00\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -282,52 +282,52 @@
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-05-06</th>\n",
|
||||
" <td>283.493739</td>\n",
|
||||
" <td>283.907093</td>\n",
|
||||
" <td>279.300967</td>\n",
|
||||
" <td>279.763550</td>\n",
|
||||
" <td>73632600</td>\n",
|
||||
" <th>2020-05-20</th>\n",
|
||||
" <td>291.150942</td>\n",
|
||||
" <td>293.168574</td>\n",
|
||||
" <td>290.904888</td>\n",
|
||||
" <td>292.243408</td>\n",
|
||||
" <td>85861700</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-05-07</th>\n",
|
||||
" <td>283.208307</td>\n",
|
||||
" <td>285.206265</td>\n",
|
||||
" <td>282.598097</td>\n",
|
||||
" <td>283.139404</td>\n",
|
||||
" <td>75250400</td>\n",
|
||||
" <th>2020-05-21</th>\n",
|
||||
" <td>292.105626</td>\n",
|
||||
" <td>292.971742</td>\n",
|
||||
" <td>289.054549</td>\n",
|
||||
" <td>290.225769</td>\n",
|
||||
" <td>78293900</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-05-08</th>\n",
|
||||
" <td>286.495581</td>\n",
|
||||
" <td>288.326240</td>\n",
|
||||
" <td>285.284984</td>\n",
|
||||
" <td>287.824280</td>\n",
|
||||
" <td>76452400</td>\n",
|
||||
" <th>2020-05-22</th>\n",
|
||||
" <td>289.920683</td>\n",
|
||||
" <td>290.963951</td>\n",
|
||||
" <td>288.591985</td>\n",
|
||||
" <td>290.776947</td>\n",
|
||||
" <td>63958200</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-05-11</th>\n",
|
||||
" <td>285.757390</td>\n",
|
||||
" <td>289.359625</td>\n",
|
||||
" <td>285.304659</td>\n",
|
||||
" <td>287.883301</td>\n",
|
||||
" <td>79514200</td>\n",
|
||||
" <th>2020-05-26</th>\n",
|
||||
" <td>297.164459</td>\n",
|
||||
" <td>297.420365</td>\n",
|
||||
" <td>290.796577</td>\n",
|
||||
" <td>294.359436</td>\n",
|
||||
" <td>88951400</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2020-05-12</th>\n",
|
||||
" <td>289.152972</td>\n",
|
||||
" <td>289.595851</td>\n",
|
||||
" <td>281.997699</td>\n",
|
||||
" <td>282.145355</td>\n",
|
||||
" <td>95870800</td>\n",
|
||||
" <th>2020-05-27</th>\n",
|
||||
" <td>297.351478</td>\n",
|
||||
" <td>298.778604</td>\n",
|
||||
" <td>292.184342</td>\n",
|
||||
" <td>298.739227</td>\n",
|
||||
" <td>104817400</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>0</td>\n",
|
||||
" </tr>\n",
|
||||
@@ -336,21 +336,21 @@
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" open high low close volume \\\n",
|
||||
"date \n",
|
||||
"2020-05-06 283.493739 283.907093 279.300967 279.763550 73632600 \n",
|
||||
"2020-05-07 283.208307 285.206265 282.598097 283.139404 75250400 \n",
|
||||
"2020-05-08 286.495581 288.326240 285.284984 287.824280 76452400 \n",
|
||||
"2020-05-11 285.757390 289.359625 285.304659 287.883301 79514200 \n",
|
||||
"2020-05-12 289.152972 289.595851 281.997699 282.145355 95870800 \n",
|
||||
" open high low close volume \\\n",
|
||||
"date \n",
|
||||
"2020-05-20 291.150942 293.168574 290.904888 292.243408 85861700 \n",
|
||||
"2020-05-21 292.105626 292.971742 289.054549 290.225769 78293900 \n",
|
||||
"2020-05-22 289.920683 290.963951 288.591985 290.776947 63958200 \n",
|
||||
"2020-05-26 297.164459 297.420365 290.796577 294.359436 88951400 \n",
|
||||
"2020-05-27 297.351478 298.778604 292.184342 298.739227 104817400 \n",
|
||||
"\n",
|
||||
" dividends stock splits \n",
|
||||
"date \n",
|
||||
"2020-05-06 0.0 0 \n",
|
||||
"2020-05-07 0.0 0 \n",
|
||||
"2020-05-08 0.0 0 \n",
|
||||
"2020-05-11 0.0 0 \n",
|
||||
"2020-05-12 0.0 0 "
|
||||
"2020-05-20 0.0 0 \n",
|
||||
"2020-05-21 0.0 0 \n",
|
||||
"2020-05-22 0.0 0 \n",
|
||||
"2020-05-26 0.0 0 \n",
|
||||
"2020-05-27 0.0 0 "
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
@@ -808,18 +808,18 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[i] Loaded SPY(7118, 34)\n",
|
||||
"[i] Loaded SPY(7128, 34)\n",
|
||||
"[+] Strategy: Common Price and Volume SMAs\n",
|
||||
"[i] Indicator arguments: {'append': True}\n",
|
||||
"[i] Multiprocessing 5 indicators with 7 chunks and 8/8 cpus.\n",
|
||||
"[i] Total indicators: 5\n",
|
||||
"[i] Columns added: 5\n",
|
||||
"[i] Last Run: Wednesday May 5, 2021, NYSE: 5:49:55, Local: 9:49:55 PDT, Day 125/365 (34.00%)\n"
|
||||
"[i] Last Run: Wednesday May 19, 2021, NYSE: 7:23:40, Local: 11:23:40 PDT, Day 139/365 (38.00%)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1200x1000 with 12 Axes>"
|
||||
]
|
||||
@@ -842,7 +842,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<__main__.Chart at 0x12e9fa220>"
|
||||
"<__main__.Chart at 0x12d2234c0>"
|
||||
]
|
||||
},
|
||||
"execution_count": 11,
|
||||
@@ -915,7 +915,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<AxesSubplot:title={'center':'SPY: CUMLOGRET_1 from 2020-05-06 00:00:00 to 2021-05-05 00:00:00 (252)'}, xlabel='date'>"
|
||||
"<AxesSubplot:title={'center':'SPY: CUMLOGRET_1 from 2020-05-20 00:00:00 to 2021-05-19 00:00:00 (252)'}, xlabel='date'>"
|
||||
]
|
||||
},
|
||||
"execution_count": 12,
|
||||
@@ -924,7 +924,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1600x325 with 1 Axes>"
|
||||
]
|
||||
@@ -956,7 +956,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<matplotlib.lines.Line2D at 0x130d9d370>"
|
||||
"<matplotlib.lines.Line2D at 0x12ee54070>"
|
||||
]
|
||||
},
|
||||
"execution_count": 13,
|
||||
@@ -965,7 +965,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1600x325 with 1 Axes>"
|
||||
]
|
||||
@@ -995,7 +995,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<matplotlib.lines.Line2D at 0x130dc49a0>"
|
||||
"<matplotlib.lines.Line2D at 0x12ea8c370>"
|
||||
]
|
||||
},
|
||||
"execution_count": 14,
|
||||
@@ -1004,7 +1004,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1600x325 with 1 Axes>"
|
||||
]
|
||||
@@ -1028,7 +1028,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<matplotlib.lines.Line2D at 0x1300fe730>"
|
||||
"<matplotlib.lines.Line2D at 0x12f0ba0d0>"
|
||||
]
|
||||
},
|
||||
"execution_count": 15,
|
||||
@@ -1037,7 +1037,7 @@
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1600x325 with 1 Axes>"
|
||||
]
|
||||
@@ -1085,7 +1085,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1200x1000 with 8 Axes>"
|
||||
]
|
||||
@@ -1108,7 +1108,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<__main__.Chart at 0x1304bd970>"
|
||||
"<__main__.Chart at 0x12dfe9880>"
|
||||
]
|
||||
},
|
||||
"execution_count": 17,
|
||||
@@ -1137,7 +1137,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1200x1000 with 8 Axes>"
|
||||
]
|
||||
@@ -1160,7 +1160,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<__main__.Chart at 0x130f8d2b0>"
|
||||
"<__main__.Chart at 0x12f568d00>"
|
||||
]
|
||||
},
|
||||
"execution_count": 18,
|
||||
@@ -1191,7 +1191,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1200x1000 with 6 Axes>"
|
||||
]
|
||||
@@ -1214,7 +1214,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<__main__.Chart at 0x1300fe790>"
|
||||
"<__main__.Chart at 0x1302db0a0>"
|
||||
]
|
||||
},
|
||||
"execution_count": 19,
|
||||
@@ -1249,7 +1249,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1200x1000 with 8 Axes>"
|
||||
]
|
||||
@@ -1272,7 +1272,7 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"<__main__.Chart at 0x1309e5a90>"
|
||||
"<__main__.Chart at 0x12e748dc0>"
|
||||
]
|
||||
},
|
||||
"execution_count": 20,
|
||||
|
||||
@@ -25,6 +25,7 @@ Imports = {
|
||||
"alphaVantage-api": find_spec("alphaVantageAPI") is not None,
|
||||
"matplotlib": find_spec("matplotlib") is not None,
|
||||
"mplfinance": find_spec("mplfinance") is not None,
|
||||
"numba": find_spec("numba") is not None,
|
||||
"yaml": find_spec("yaml") is not None,
|
||||
"scipy": find_spec("scipy") is not None,
|
||||
"sklearn": find_spec("sklearn") is not None,
|
||||
|
||||
@@ -1,30 +1,31 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
from pandas_ta.utils import get_offset, verify_series
|
||||
from pandas_ta.utils import get_drift, get_offset, is_percent, verify_series
|
||||
|
||||
|
||||
def decreasing(close, length=None, strict=None, asint=None, offset=None, **kwargs):
|
||||
def decreasing(close, length=None, strict=None, asint=None, percent=None, drift=None, offset=None, **kwargs):
|
||||
"""Indicator: Decreasing"""
|
||||
# Validate Arguments
|
||||
length = int(length) if length and length > 0 else 1
|
||||
strict = strict if isinstance(strict, bool) else False
|
||||
asint = asint if isinstance(asint, bool) else True
|
||||
close = verify_series(close, length)
|
||||
drift = get_drift(drift)
|
||||
offset = get_offset(offset)
|
||||
percent = float(percent) if is_percent(percent) else False
|
||||
|
||||
if close is None: return
|
||||
|
||||
def stricly_decreasing(series, n):
|
||||
return all([i > j for i,j in zip(series[-n:], series[1:])])
|
||||
|
||||
# Calculate Result
|
||||
close_ = (1 - 0.01 * percent) * close if percent else close
|
||||
if strict:
|
||||
# Returns value as float64? Have to cast to bool
|
||||
decreasing = close.rolling(length, min_periods=length) \
|
||||
.apply(stricly_decreasing, args=(length,), raw=False)
|
||||
decreasing = close < close_.shift(drift)
|
||||
for x in range(3, length + 1):
|
||||
decreasing = decreasing & (close.shift(x - (drift + 1)) < close_.shift(x - drift))
|
||||
|
||||
decreasing.fillna(0, inplace=True)
|
||||
decreasing = decreasing.astype(bool)
|
||||
else:
|
||||
decreasing = close.diff(length) < 0
|
||||
decreasing = close_.diff(length) < 0
|
||||
|
||||
if asint:
|
||||
decreasing = decreasing.astype(int)
|
||||
@@ -40,7 +41,9 @@ def decreasing(close, length=None, strict=None, asint=None, offset=None, **kwarg
|
||||
decreasing.fillna(method=kwargs["fill_method"], inplace=True)
|
||||
|
||||
# Name and Categorize it
|
||||
decreasing.name = f"{'S' if strict else ''}DEC_{length}"
|
||||
_percent = f"_{0.01 * percent}" if percent else ''
|
||||
_props = f"{'S' if strict else ''}DEC{'p' if percent else ''}"
|
||||
decreasing.name = f"{_props}_{length}{_percent}"
|
||||
decreasing.category = "trend"
|
||||
|
||||
return decreasing
|
||||
@@ -66,8 +69,10 @@ Calculation:
|
||||
Args:
|
||||
close (pd.Series): Series of 'close's
|
||||
length (int): It's period. Default: 1
|
||||
asint (bool): Returns as binary. Default: True
|
||||
strict (bool): If True, checks if the series is continuously decreasing over the period. Default: False
|
||||
percent (float): Percent as an integer. Default: None
|
||||
asint (bool): Returns as binary. Default: True
|
||||
drift (int): The difference period. Default: 1
|
||||
offset (int): How many periods to offset the result. Default: 0
|
||||
|
||||
Kwargs:
|
||||
|
||||
@@ -1,30 +1,31 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
from pandas_ta.utils import get_offset, verify_series
|
||||
from pandas_ta.utils import get_drift, get_offset, is_percent, verify_series
|
||||
|
||||
|
||||
def increasing(close, length=None, strict=None, asint=None, offset=None, **kwargs):
|
||||
def increasing(close, length=None, strict=None, asint=None, percent=None, drift=None, offset=None, **kwargs):
|
||||
"""Indicator: Increasing"""
|
||||
# Validate Arguments
|
||||
length = int(length) if length and length > 0 else 1
|
||||
strict = strict if isinstance(strict, bool) else False
|
||||
asint = asint if isinstance(asint, bool) else True
|
||||
close = verify_series(close, length)
|
||||
drift = get_drift(drift)
|
||||
offset = get_offset(offset)
|
||||
percent = float(percent) if is_percent(percent) else False
|
||||
|
||||
if close is None: return
|
||||
|
||||
def stricly_increasing(series, n):
|
||||
return all([i < j for i,j in zip(series[-n:], series[1:])])
|
||||
|
||||
# Calculate Result
|
||||
close_ = (1 + 0.01 * percent) * close if percent else close
|
||||
if strict:
|
||||
# Returns value as float64? Have to cast to bool
|
||||
increasing = close.rolling(length, min_periods=length) \
|
||||
.apply(stricly_increasing, args=(length,), raw=False)
|
||||
increasing = close > close_.shift(drift)
|
||||
for x in range(3, length + 1):
|
||||
increasing = increasing & (close.shift(x - (drift + 1)) > close_.shift(x - drift))
|
||||
|
||||
increasing.fillna(0, inplace=True)
|
||||
increasing = increasing.astype(bool)
|
||||
else:
|
||||
increasing = close.diff(length) > 0
|
||||
increasing = close_.diff(length) > 0
|
||||
|
||||
if asint:
|
||||
increasing = increasing.astype(int)
|
||||
@@ -40,7 +41,9 @@ def increasing(close, length=None, strict=None, asint=None, offset=None, **kwarg
|
||||
increasing.fillna(method=kwargs["fill_method"], inplace=True)
|
||||
|
||||
# Name and Categorize it
|
||||
increasing.name = f"{'S' if strict else ''}INC_{length}"
|
||||
_percent = f"_{0.01 * percent}" if percent else ''
|
||||
_props = f"{'S' if strict else ''}INC{'p' if percent else ''}"
|
||||
increasing.name = f"{_props}_{length}{_percent}"
|
||||
increasing.category = "trend"
|
||||
|
||||
return increasing
|
||||
@@ -66,8 +69,10 @@ Calculation:
|
||||
Args:
|
||||
close (pd.Series): Series of 'close's
|
||||
length (int): It's period. Default: 1
|
||||
asint (bool): Returns as binary. Default: True
|
||||
strict (bool): If True, checks if the series is continuously increasing over the period. Default: False
|
||||
percent (float): Percent as an integer. Default: None
|
||||
asint (bool): Returns as binary. Default: True
|
||||
drift (int): The difference period. Default: 1
|
||||
offset (int): How many periods to offset the result. Default: 0
|
||||
|
||||
Kwargs:
|
||||
|
||||
@@ -9,7 +9,7 @@ from pandas import Series, Timedelta
|
||||
from ._core import verify_series
|
||||
from ._time import total_time
|
||||
from ._math import linear_regression, log_geometric_mean
|
||||
from pandas_ta import RATE
|
||||
from pandas_ta import Imports, RATE
|
||||
from pandas_ta.performance import drawdown, log_return, percent_return
|
||||
|
||||
|
||||
|
||||
@@ -18,7 +18,7 @@ setup(
|
||||
"pandas_ta.volatility",
|
||||
"pandas_ta.volume"
|
||||
],
|
||||
version=".".join(("0", "2", "79b")),
|
||||
version=".".join(("0", "2", "80b")),
|
||||
description=long_description,
|
||||
long_description=long_description,
|
||||
author="Kevin Johnson",
|
||||
|
||||
@@ -359,20 +359,49 @@ class TestMomentum(TestCase):
|
||||
self.assertIsInstance(result, DataFrame)
|
||||
self.assertEqual(result.name, "STC_10_12_26_0.5")
|
||||
|
||||
# @skip
|
||||
def test_stoch(self):
|
||||
# TV Correlation
|
||||
result = pandas_ta.stoch(self.high, self.low, self.close)
|
||||
self.assertIsInstance(result, DataFrame)
|
||||
self.assertEqual(result.name, "STOCH_14_3_3")
|
||||
|
||||
try:
|
||||
expected = tal.STOCH(self.high, self.low, self.close, 14, 3, 0, 3)
|
||||
expecteddf = DataFrame({"STOCHk_14_3_0_3": expected[0], "STOCHd_14_3_0_3": expected[1]})
|
||||
pdt.assert_frame_equal(result, expecteddf)
|
||||
except AssertionError as ae:
|
||||
try:
|
||||
stochk_corr = pandas_ta.utils.df_error_analysis(result.iloc[:, 0], expecteddf.iloc[:, 0], col=CORRELATION)
|
||||
self.assertGreater(stochk_corr, CORRELATION_THRESHOLD)
|
||||
except Exception as ex:
|
||||
error_analysis(result.iloc[:, 0], CORRELATION, ex)
|
||||
|
||||
try:
|
||||
stochd_corr = pandas_ta.utils.df_error_analysis(result.iloc[:, 1], expecteddf.iloc[:, 1], col=CORRELATION)
|
||||
self.assertGreater(stochd_corr, CORRELATION_THRESHOLD)
|
||||
except Exception as ex:
|
||||
error_analysis(result.iloc[:, 1], CORRELATION, ex, newline=False)
|
||||
|
||||
def test_stochrsi(self):
|
||||
# TV Correlation
|
||||
result = pandas_ta.stochrsi(self.close)
|
||||
self.assertIsInstance(result, DataFrame)
|
||||
self.assertEqual(result.name, "STOCHRSI_14_14_3_3")
|
||||
|
||||
try:
|
||||
expected = tal.STOCHRSI(self.close, 14, 14, 3, 0)
|
||||
expecteddf = DataFrame({"STOCHRSIk_14_14_0_3": expected[0], "STOCHRSId_14_14_3_0": expected[1]})
|
||||
pdt.assert_frame_equal(result, expecteddf)
|
||||
except AssertionError as ae:
|
||||
try:
|
||||
stochrsid_corr = pandas_ta.utils.df_error_analysis(result.iloc[:, 0], expecteddf.iloc[:, 1], col=CORRELATION)
|
||||
self.assertGreater(stochrsid_corr, CORRELATION_THRESHOLD)
|
||||
except Exception as ex:
|
||||
error_analysis(result.iloc[:, 0], CORRELATION, ex, newline=False)
|
||||
|
||||
@skip
|
||||
def test_td_seq(self):
|
||||
"""TS Sequential: Working but SLOW implementation"""
|
||||
result = pandas_ta.td_seq(self.close)
|
||||
self.assertIsInstance(result, DataFrame)
|
||||
self.assertEqual(result.name, "TD_SEQ")
|
||||
|
||||
Reference in new issue
Block a user