From 4f8bf413bd9eefd17e876704c5066ab70fa6b329 Mon Sep 17 00:00:00 2001 From: Victor Date: Mon, 11 Dec 2017 12:12:46 -0700 Subject: [PATCH 1/5] DOC: Update README.rst --- README.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.rst b/README.rst index 1dc87f7d..6c395b45 100644 --- a/README.rst +++ b/README.rst @@ -1,6 +1,6 @@ .. image:: https://s3.amazonaws.com/enigmaco-docs/enigma-catalyst.jpg - :target: https://enigmampc.github.io/catalyst - :align: center + :target: https://enigmampc.github.io/catalyst + :align: center :alt: Enigma | Catalyst |version tag| From 1e00be4cf398c71e7c7fff1ed4761686b09a2de4 Mon Sep 17 00:00:00 2001 From: Victor Date: Mon, 11 Dec 2017 15:18:07 -0700 Subject: [PATCH 2/5] Update dual_vwap.py --- catalyst/examples/dual_vwap.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/catalyst/examples/dual_vwap.py b/catalyst/examples/dual_vwap.py index 52c1789d..7946c947 100644 --- a/catalyst/examples/dual_vwap.py +++ b/catalyst/examples/dual_vwap.py @@ -1,3 +1,11 @@ +''' Catalyst currently does not support the Pipeline implementation + from Zipline, see Issue #96: + https://github.com/enigmampc/catalyst/issues/96 + + Until the above issue is resolved, this example is non-functional. + We are keeping this script here for when the issue is resolved +''' + #!/usr/bin/env python # # Copyright 2017 Enigma MPC, Inc. From 60747082b6b8cd09790b7c8b147e6c205d53a7af Mon Sep 17 00:00:00 2001 From: Victor Grau Serrat Date: Mon, 11 Dec 2017 15:46:55 -0700 Subject: [PATCH 3/5] DOC: added jupyter notebook in the examples --- ...running_catalyst_in_jupyter_notebook.ipynb | 2547 +++++++++++++++++ 1 file changed, 2547 insertions(+) create mode 100644 catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb diff --git a/catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb b/catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb new file mode 100644 index 00000000..a951e943 --- /dev/null +++ b/catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb @@ -0,0 +1,2547 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Running Catalyst in Jupyter Notebook\n", + "The [Jupyter Notebook](https://jupyter.org/) is a very powerful browser-based interface to a Python interpreter. As it is already the de-facto interface for most quantitative researchers, `catalyst` provides an easy way to run your algorithm inside the Notebook without requiring you to use the CLI.\n", + "\n", + "To use it you have to write your algorithm in a cell and let `catalyst` know that it is supposed to run this algorithm. This is done via the `%%catalyst` IPython magic command that is available after you import `catalyst` from within the Notebook. This magic takes the same arguments as the command line interface. Thus, to run the algorithm just supply the same parameters as the CLI but without the -f and -o arguments. We just have to execute the following cell after importing `catalyst` to register the magic.\n", + "\n", + "Please remember to ingest the data that you need from the console since that functionality is not supported from within the Notebook. For the example below, you first need to run the following from the CLI:\n", + "\n", + "`catalyst ingest-exchange -x bitfinex -i btc_usd`" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Register the catalyst magic\n", + "%load_ext catalyst" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Setup matplotlib to display graphs inline in this Notebook\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note below that we do not have to specify an input file (-f) since the magic will use the contents of the cell and look for your algorithm functions." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2017-10-27 14:15:29.957421] INFO: run_algo: running algo in backtest mode\n", + "[2017-10-27 14:15:30.573555] INFO: exchange_algorithm: initialized trading algorithm in backtest mode\n", + "[2017-10-27 14:15:36.376882] INFO: Performance: Simulated 851 trading days out of 851.\n", + "[2017-10-27 14:15:36.378059] INFO: Performance: first open: 2015-03-01 00:00:00+00:00\n", + "[2017-10-27 14:15:36.379327] INFO: Performance: last close: 2017-06-28 23:59:00+00:00\n" + ] + }, + { + "data": { + "image/png": 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EpDxFRdF43nvvmMdh/nwYPTp6bBxzTDT6P/ggAh39+8ccE+lLiE6cCAceGEGH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\n/MenSXZ99e5DeCDV+vfLTmr/70bs/Ek/m8Iv6lGt995PFN4/4tJEtf5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GRyZ3XTkXy98V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\nX7rUfix/8IE1kT7xRCgttb7opaXW91zEkvjtsYf9EB861F5//Xq7K1pTY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851 rows × 45 columns

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0.064622 0.536222 \n", + "2015-03-04 23:59:00+00:00 0.115538 0.485266 \n", + "2015-03-05 23:59:00+00:00 0.023905 0.888033 \n", + "2015-03-06 23:59:00+00:00 0.047809 0.802185 \n", + "2015-03-07 23:59:00+00:00 0.035857 0.742361 \n", + "2015-03-08 23:59:00+00:00 0.035857 0.688117 \n", + "2015-03-09 23:59:00+00:00 0.051793 0.645904 \n", + "2015-03-10 23:59:00+00:00 0.159363 0.776260 \n", + "2015-03-11 23:59:00+00:00 0.099602 0.804201 \n", + "2015-03-12 23:59:00+00:00 0.099602 0.768097 \n", + "2015-03-13 23:59:00+00:00 0.096056 0.737367 \n", + "2015-03-14 23:59:00+00:00 0.096016 0.709274 \n", + "2015-03-15 23:59:00+00:00 0.111984 0.684089 \n", + "2015-03-16 23:59:00+00:00 0.096016 0.666803 \n", + "2015-03-17 23:59:00+00:00 0.095618 0.646181 \n", + "2015-03-18 23:59:00+00:00 0.063785 0.640584 \n", + "2015-03-19 23:59:00+00:00 0.055165 0.624146 \n", + "2015-03-20 23:59:00+00:00 0.050043 0.608232 \n", + "2015-03-21 23:59:00+00:00 0.020470 0.602664 \n", + "2015-03-22 23:59:00+00:00 0.065804 0.605701 \n", + "2015-03-23 23:59:00+00:00 0.038540 0.599600 \n", + "2015-03-24 23:59:00+00:00 -0.033763 0.631055 \n", + "2015-03-25 23:59:00+00:00 -0.014042 0.621385 \n", + "2015-03-26 23:59:00+00:00 -0.033763 0.612060 \n", + "2015-03-27 23:59:00+00:00 0.009373 0.615891 \n", + "2015-03-28 23:59:00+00:00 0.031397 0.607576 \n", + "2015-03-29 23:59:00+00:00 -0.012074 0.610536 \n", + "2015-03-30 23:59:00+00:00 0.013358 0.604435 \n", + "... ... ... \n", + "2017-05-30 23:59:00+00:00 7.525896 0.552623 \n", + "2017-05-31 23:59:00+00:00 7.752988 0.552438 \n", + "2017-06-01 23:59:00+00:00 8.221495 0.552802 \n", + "2017-06-02 23:59:00+00:00 8.593625 0.552845 \n", + "2017-06-03 23:59:00+00:00 8.782075 0.552583 \n", + "2017-06-04 23:59:00+00:00 8.894622 0.552267 \n", + "2017-06-05 23:59:00+00:00 9.499428 0.552851 \n", + "2017-06-06 23:59:00+00:00 10.338645 0.554123 \n", + "2017-06-07 23:59:00+00:00 9.539858 0.555288 \n", + "2017-06-08 23:59:00+00:00 10.107570 0.555647 \n", + "2017-06-09 23:59:00+00:00 10.219521 0.555324 \n", + "2017-06-10 23:59:00+00:00 10.202471 0.554997 \n", + "2017-06-11 23:59:00+00:00 10.701594 0.555122 \n", + "2017-06-12 23:59:00+00:00 9.243228 0.559242 \n", + "2017-06-13 23:59:00+00:00 9.664441 0.559291 \n", + "2017-06-14 23:59:00+00:00 8.509086 0.562313 \n", + "2017-06-15 23:59:00+00:00 8.458103 0.561997 \n", + "2017-06-16 23:59:00+00:00 8.701195 0.561795 \n", + "2017-06-17 23:59:00+00:00 9.387043 0.562671 \n", + "2017-06-18 23:59:00+00:00 8.929482 0.562936 \n", + "2017-06-19 23:59:00+00:00 9.291024 0.562891 \n", + "2017-06-20 23:59:00+00:00 9.629482 0.562788 \n", + "2017-06-21 23:59:00+00:00 9.438247 0.562576 \n", + "2017-06-22 23:59:00+00:00 9.650902 0.562319 \n", + "2017-06-23 23:59:00+00:00 9.637450 0.561992 \n", + "2017-06-24 23:59:00+00:00 8.974032 0.562805 \n", + "2017-06-25 23:59:00+00:00 8.880089 0.562516 \n", + "2017-06-26 23:59:00+00:00 8.542984 0.562555 \n", + "2017-06-27 23:59:00+00:00 9.000000 0.562747 \n", + "2017-06-28 23:59:00+00:00 9.000000 0.562419 \n", + "\n", + " beta capital_used cash \\\n", + "2015-03-01 23:59:00+00:00 NaN 0.000000 100000.000000 \n", + "2015-03-02 23:59:00+00:00 -4.443264 -82088.949801 17911.050199 \n", + "2015-03-03 23:59:00+00:00 0.978177 0.000000 17911.050199 \n", + "2015-03-04 23:59:00+00:00 1.000502 0.000000 17911.050199 \n", + "2015-03-05 23:59:00+00:00 0.831215 0.000000 17911.050199 \n", + "2015-03-06 23:59:00+00:00 0.835958 0.000000 17911.050199 \n", + "2015-03-07 23:59:00+00:00 0.830755 0.000000 17911.050199 \n", + "2015-03-08 23:59:00+00:00 0.829481 0.000000 17911.050199 \n", + "2015-03-09 23:59:00+00:00 0.831301 0.000000 17911.050199 \n", + "2015-03-10 23:59:00+00:00 0.838541 0.000000 17911.050199 \n", + "2015-03-11 23:59:00+00:00 0.832665 0.000000 17911.050199 \n", + "2015-03-12 23:59:00+00:00 0.831911 0.000000 17911.050199 \n", + "2015-03-13 23:59:00+00:00 0.831051 0.000000 17911.050199 \n", + "2015-03-14 23:59:00+00:00 0.830526 0.000000 17911.050199 \n", + 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23:59:00+00:00 0.823446 0.000000 17911.050199 \n", + "... ... ... ... \n", + "2017-05-30 23:59:00+00:00 0.873718 0.000000 17911.050199 \n", + "2017-05-31 23:59:00+00:00 0.873781 0.000000 17911.050199 \n", + "2017-06-01 23:59:00+00:00 0.874052 0.000000 17911.050199 \n", + "2017-06-02 23:59:00+00:00 0.874204 0.000000 17911.050199 \n", + "2017-06-03 23:59:00+00:00 0.874236 0.000000 17911.050199 \n", + "2017-06-04 23:59:00+00:00 0.874246 0.000000 17911.050199 \n", + "2017-06-05 23:59:00+00:00 0.874607 0.000000 17911.050199 \n", + "2017-06-06 23:59:00+00:00 0.875236 0.000000 17911.050199 \n", + "2017-06-07 23:59:00+00:00 0.875781 0.000000 17911.050199 \n", + "2017-06-08 23:59:00+00:00 0.876055 0.000000 17911.050199 \n", + "2017-06-09 23:59:00+00:00 0.876061 0.000000 17911.050199 \n", + "2017-06-10 23:59:00+00:00 0.876062 0.000000 17911.050199 \n", + "2017-06-11 23:59:00+00:00 0.876248 0.000000 17911.050199 \n", + "2017-06-12 23:59:00+00:00 0.877873 0.000000 17911.050199 \n", + "2017-06-13 23:59:00+00:00 0.878022 0.000000 17911.050199 \n", + "2017-06-14 23:59:00+00:00 0.879196 0.000000 17911.050199 \n", + "2017-06-15 23:59:00+00:00 0.879200 0.000000 17911.050199 \n", + "2017-06-16 23:59:00+00:00 0.879253 0.000000 17911.050199 \n", + "2017-06-17 23:59:00+00:00 0.879695 0.000000 17911.050199 \n", + "2017-06-18 23:59:00+00:00 0.879892 0.000000 17911.050199 \n", + "2017-06-19 23:59:00+00:00 0.880003 0.000000 17911.050199 \n", + "2017-06-20 23:59:00+00:00 0.880093 0.000000 17911.050199 \n", + "2017-06-21 23:59:00+00:00 0.880129 0.000000 17911.050199 \n", + "2017-06-22 23:59:00+00:00 0.880161 0.000000 17911.050199 \n", + "2017-06-23 23:59:00+00:00 0.880162 0.000000 17911.050199 \n", + "2017-06-24 23:59:00+00:00 0.880546 0.000000 17911.050199 \n", + "2017-06-25 23:59:00+00:00 0.880557 0.000000 17911.050199 \n", + "2017-06-26 23:59:00+00:00 0.880675 0.000000 17911.050199 \n", + "2017-06-27 23:59:00+00:00 0.880867 0.000000 17911.050199 \n", + "2017-06-28 23:59:00+00:00 0.880863 0.000000 17911.050199 \n", + "\n", + " ending_cash ending_exposure ... \\\n", + "2015-03-01 23:59:00+00:00 100000.000000 0.000000 ... \n", + "2015-03-02 23:59:00+00:00 17911.050199 80318.725100 ... \n", + "2015-03-03 23:59:00+00:00 17911.050199 85169.721112 ... \n", + "2015-03-04 23:59:00+00:00 17911.050199 89243.027888 ... \n", + "2015-03-05 23:59:00+00:00 17911.050199 81912.416376 ... \n", + "2015-03-06 23:59:00+00:00 17911.050199 83824.757788 ... \n", + "2015-03-07 23:59:00+00:00 17911.050199 82868.527560 ... \n", + "2015-03-08 23:59:00+00:00 17911.050199 82868.535780 ... \n", + "2015-03-09 23:59:00+00:00 17911.050199 84143.427994 ... \n", + "2015-03-10 23:59:00+00:00 17911.050199 92749.003984 ... \n", + "2015-03-11 23:59:00+00:00 17911.050199 87968.127493 ... \n", + "2015-03-12 23:59:00+00:00 17911.050199 87968.127844 ... \n", + "2015-03-13 23:59:00+00:00 17911.050199 87684.462180 ... \n", + "2015-03-14 23:59:00+00:00 17911.050199 87681.275015 ... \n", + "2015-03-15 23:59:00+00:00 17911.050199 88958.725205 ... \n", + "2015-03-16 23:59:00+00:00 17911.050199 87681.274971 ... \n", + "2015-03-17 23:59:00+00:00 17911.050199 87649.402400 ... \n", + "2015-03-18 23:59:00+00:00 17911.050199 85102.788857 ... \n", + "2015-03-19 23:59:00+00:00 17911.050199 84413.168178 ... \n", + "2015-03-20 23:59:00+00:00 17911.050199 84003.452092 ... \n", + "2015-03-21 23:59:00+00:00 17911.050199 81637.561928 ... \n", + "2015-03-22 23:59:00+00:00 17911.050199 85264.334161 ... \n", + "2015-03-23 23:59:00+00:00 17911.050199 83083.190875 ... \n", + "2015-03-24 23:59:00+00:00 17911.050199 77298.966489 ... \n", + "2015-03-25 23:59:00+00:00 17911.050199 78876.658129 ... \n", + "2015-03-26 23:59:00+00:00 17911.050199 77298.964143 ... \n", + "2015-03-27 23:59:00+00:00 17911.050199 80749.864542 ... \n", + "2015-03-28 23:59:00+00:00 17911.050199 82511.770292 ... \n", + "2015-03-29 23:59:00+00:00 17911.050199 79034.049409 ... \n", + "2015-03-30 23:59:00+00:00 17911.050199 81068.619458 ... \n", + 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"2015-03-15 23:59:00+00:00 100000.0 87681.275015 87681.275015 \n", + "2015-03-16 23:59:00+00:00 100000.0 88958.725205 88958.725205 \n", + "2015-03-17 23:59:00+00:00 100000.0 87681.274971 87681.274971 \n", + "2015-03-18 23:59:00+00:00 100000.0 87649.402400 87649.402400 \n", + "2015-03-19 23:59:00+00:00 100000.0 85102.788857 85102.788857 \n", + "2015-03-20 23:59:00+00:00 100000.0 84413.168178 84413.168178 \n", + "2015-03-21 23:59:00+00:00 100000.0 84003.452092 84003.452092 \n", + "2015-03-22 23:59:00+00:00 100000.0 81637.561928 81637.561928 \n", + "2015-03-23 23:59:00+00:00 100000.0 85264.334161 85264.334161 \n", + "2015-03-24 23:59:00+00:00 100000.0 83083.190875 83083.190875 \n", + "2015-03-25 23:59:00+00:00 100000.0 77298.966489 77298.966489 \n", + "2015-03-26 23:59:00+00:00 100000.0 78876.658129 78876.658129 \n", + "2015-03-27 23:59:00+00:00 100000.0 77298.964143 77298.964143 \n", + "2015-03-28 23:59:00+00:00 100000.0 80749.864542 80749.864542 \n", + "2015-03-29 23:59:00+00:00 100000.0 82511.770292 82511.770292 \n", + "2015-03-30 23:59:00+00:00 100000.0 79034.049409 79034.049409 \n", + "... ... ... ... \n", + "2017-05-30 23:59:00+00:00 100000.0 703426.294821 703426.294821 \n", + "2017-05-31 23:59:00+00:00 100000.0 682071.713144 682071.713144 \n", + "2017-06-01 23:59:00+00:00 100000.0 700239.043720 700239.043720 \n", + "2017-06-02 23:59:00+00:00 100000.0 737719.602167 737719.602167 \n", + "2017-06-03 23:59:00+00:00 100000.0 767490.039841 767490.039841 \n", + "2017-06-04 23:59:00+00:00 100000.0 782566.007445 782566.007445 \n", + "2017-06-05 23:59:00+00:00 100000.0 791569.721116 791569.721116 \n", + "2017-06-06 23:59:00+00:00 100000.0 839954.269594 839954.269594 \n", + "2017-06-07 23:59:00+00:00 100000.0 907091.633466 907091.633466 \n", + "2017-06-08 23:59:00+00:00 100000.0 843188.624293 843188.624293 \n", + "2017-06-09 23:59:00+00:00 100000.0 888605.577689 888605.577689 \n", + "2017-06-10 23:59:00+00:00 100000.0 897561.669122 897561.669122 \n", + "2017-06-11 23:59:00+00:00 100000.0 896197.679688 896197.679688 \n", + "2017-06-12 23:59:00+00:00 100000.0 936127.490040 936127.490040 \n", + "2017-06-13 23:59:00+00:00 100000.0 819458.210123 819458.210123 \n", + "2017-06-14 23:59:00+00:00 100000.0 853155.281842 853155.281842 \n", + "2017-06-15 23:59:00+00:00 100000.0 760726.919461 760726.919461 \n", + "2017-06-16 23:59:00+00:00 100000.0 756648.279624 756648.279624 \n", + "2017-06-17 23:59:00+00:00 100000.0 776095.617533 776095.617533 \n", + "2017-06-18 23:59:00+00:00 100000.0 830963.408991 830963.408991 \n", + "2017-06-19 23:59:00+00:00 100000.0 794358.565731 794358.565731 \n", + "2017-06-20 23:59:00+00:00 100000.0 823281.942712 823281.942712 \n", + "2017-06-21 23:59:00+00:00 100000.0 850358.566696 850358.566696 \n", + "2017-06-22 23:59:00+00:00 100000.0 835059.760956 835059.760956 \n", + "2017-06-23 23:59:00+00:00 100000.0 852072.149759 852072.149759 \n", + "2017-06-24 23:59:00+00:00 100000.0 850996.015936 850996.015936 \n", + "2017-06-25 23:59:00+00:00 100000.0 797922.562062 797922.562062 \n", + "2017-06-26 23:59:00+00:00 100000.0 790407.126821 790407.126821 \n", + "2017-06-27 23:59:00+00:00 100000.0 763438.699576 763438.699576 \n", + "2017-06-28 23:59:00+00:00 100000.0 800000.000000 800000.000000 \n", + "\n", + " trading_days \\\n", + "2015-03-01 23:59:00+00:00 1 \n", + "2015-03-02 23:59:00+00:00 2 \n", + "2015-03-03 23:59:00+00:00 3 \n", + "2015-03-04 23:59:00+00:00 4 \n", + "2015-03-05 23:59:00+00:00 5 \n", + "2015-03-06 23:59:00+00:00 6 \n", + "2015-03-07 23:59:00+00:00 7 \n", + "2015-03-08 23:59:00+00:00 8 \n", + "2015-03-09 23:59:00+00:00 9 \n", + "2015-03-10 23:59:00+00:00 10 \n", + "2015-03-11 23:59:00+00:00 11 \n", + "2015-03-12 23:59:00+00:00 12 \n", + "2015-03-13 23:59:00+00:00 13 \n", + "2015-03-14 23:59:00+00:00 14 \n", + "2015-03-15 23:59:00+00:00 15 \n", + "2015-03-16 23:59:00+00:00 16 \n", + "2015-03-17 23:59:00+00:00 17 \n", + "2015-03-18 23:59:00+00:00 18 \n", + "2015-03-19 23:59:00+00:00 19 \n", + "2015-03-20 23:59:00+00:00 20 \n", + "2015-03-21 23:59:00+00:00 21 \n", + "2015-03-22 23:59:00+00:00 22 \n", + "2015-03-23 23:59:00+00:00 23 \n", + "2015-03-24 23:59:00+00:00 24 \n", + "2015-03-25 23:59:00+00:00 25 \n", + "2015-03-26 23:59:00+00:00 26 \n", + "2015-03-27 23:59:00+00:00 27 \n", + "2015-03-28 23:59:00+00:00 28 \n", + "2015-03-29 23:59:00+00:00 29 \n", + "2015-03-30 23:59:00+00:00 30 \n", + "... ... \n", + "2017-05-30 23:59:00+00:00 822 \n", + "2017-05-31 23:59:00+00:00 823 \n", + "2017-06-01 23:59:00+00:00 824 \n", + "2017-06-02 23:59:00+00:00 825 \n", + "2017-06-03 23:59:00+00:00 826 \n", + "2017-06-04 23:59:00+00:00 827 \n", + "2017-06-05 23:59:00+00:00 828 \n", + "2017-06-06 23:59:00+00:00 829 \n", + "2017-06-07 23:59:00+00:00 830 \n", + "2017-06-08 23:59:00+00:00 831 \n", + "2017-06-09 23:59:00+00:00 832 \n", + "2017-06-10 23:59:00+00:00 833 \n", + "2017-06-11 23:59:00+00:00 834 \n", + "2017-06-12 23:59:00+00:00 835 \n", + "2017-06-13 23:59:00+00:00 836 \n", + "2017-06-14 23:59:00+00:00 837 \n", + "2017-06-15 23:59:00+00:00 838 \n", + "2017-06-16 23:59:00+00:00 839 \n", + "2017-06-17 23:59:00+00:00 840 \n", + "2017-06-18 23:59:00+00:00 841 \n", + "2017-06-19 23:59:00+00:00 842 \n", + "2017-06-20 23:59:00+00:00 843 \n", + "2017-06-21 23:59:00+00:00 844 \n", + "2017-06-22 23:59:00+00:00 845 \n", + "2017-06-23 23:59:00+00:00 846 \n", + "2017-06-24 23:59:00+00:00 847 \n", + "2017-06-25 23:59:00+00:00 848 \n", + "2017-06-26 23:59:00+00:00 849 \n", + "2017-06-27 23:59:00+00:00 850 \n", + "2017-06-28 23:59:00+00:00 851 \n", + "\n", + " transactions \\\n", + "2015-03-01 23:59:00+00:00 [] \n", + "2015-03-02 23:59:00+00:00 [{u'commission': None, u'amount': 318.72509960... \n", + "2015-03-03 23:59:00+00:00 [] \n", + "2015-03-04 23:59:00+00:00 [] \n", + "2015-03-05 23:59:00+00:00 [] \n", + "2015-03-06 23:59:00+00:00 [] \n", + "2015-03-07 23:59:00+00:00 [] \n", + "2015-03-08 23:59:00+00:00 [] \n", + "2015-03-09 23:59:00+00:00 [] \n", + "2015-03-10 23:59:00+00:00 [] \n", + "2015-03-11 23:59:00+00:00 [] \n", + "2015-03-12 23:59:00+00:00 [] \n", + "2015-03-13 23:59:00+00:00 [] \n", + "2015-03-14 23:59:00+00:00 [] \n", + "2015-03-15 23:59:00+00:00 [] \n", + "2015-03-16 23:59:00+00:00 [] \n", + "2015-03-17 23:59:00+00:00 [] \n", + "2015-03-18 23:59:00+00:00 [] \n", + "2015-03-19 23:59:00+00:00 [] \n", + "2015-03-20 23:59:00+00:00 [] \n", + "2015-03-21 23:59:00+00:00 [] \n", + "2015-03-22 23:59:00+00:00 [] \n", + "2015-03-23 23:59:00+00:00 [] \n", + "2015-03-24 23:59:00+00:00 [] \n", + "2015-03-25 23:59:00+00:00 [] \n", + "2015-03-26 23:59:00+00:00 [] \n", + "2015-03-27 23:59:00+00:00 [] \n", + "2015-03-28 23:59:00+00:00 [] \n", + "2015-03-29 23:59:00+00:00 [] \n", + "2015-03-30 23:59:00+00:00 [] \n", + "... ... \n", + "2017-05-30 23:59:00+00:00 [] \n", + "2017-05-31 23:59:00+00:00 [] \n", + "2017-06-01 23:59:00+00:00 [] \n", + "2017-06-02 23:59:00+00:00 [] \n", + "2017-06-03 23:59:00+00:00 [] \n", + "2017-06-04 23:59:00+00:00 [] \n", + "2017-06-05 23:59:00+00:00 [] \n", + "2017-06-06 23:59:00+00:00 [] \n", + "2017-06-07 23:59:00+00:00 [] \n", + "2017-06-08 23:59:00+00:00 [] \n", + "2017-06-09 23:59:00+00:00 [] \n", + "2017-06-10 23:59:00+00:00 [] \n", + "2017-06-11 23:59:00+00:00 [] \n", + "2017-06-12 23:59:00+00:00 [] \n", + "2017-06-13 23:59:00+00:00 [] \n", + "2017-06-14 23:59:00+00:00 [] \n", + "2017-06-15 23:59:00+00:00 [] \n", + "2017-06-16 23:59:00+00:00 [] \n", + "2017-06-17 23:59:00+00:00 [] \n", + "2017-06-18 23:59:00+00:00 [] \n", + "2017-06-19 23:59:00+00:00 [] \n", + "2017-06-20 23:59:00+00:00 [] \n", + "2017-06-21 23:59:00+00:00 [] \n", + "2017-06-22 23:59:00+00:00 [] \n", + "2017-06-23 23:59:00+00:00 [] \n", + "2017-06-24 23:59:00+00:00 [] \n", + "2017-06-25 23:59:00+00:00 [] \n", + "2017-06-26 23:59:00+00:00 [] \n", + "2017-06-27 23:59:00+00:00 [] \n", + "2017-06-28 23:59:00+00:00 [] \n", + "\n", + " treasury_period_return volume treasury \\\n", + "2015-03-01 23:59:00+00:00 0.0200 3.177152e-01 0.0200 \n", + "2015-03-02 23:59:00+00:00 0.0208 9.806380e+01 0.0208 \n", + "2015-03-03 23:59:00+00:00 0.0212 4.429831e+02 0.0212 \n", + "2015-03-04 23:59:00+00:00 0.0212 2.458890e+02 0.0212 \n", + "2015-03-05 23:59:00+00:00 0.0211 1.174407e+02 0.0211 \n", + "2015-03-06 23:59:00+00:00 0.0224 8.419795e+01 0.0224 \n", + "2015-03-07 23:59:00+00:00 0.0224 1.819948e-01 0.0224 \n", + "2015-03-08 23:59:00+00:00 0.0224 3.090035e+01 0.0224 \n", + "2015-03-09 23:59:00+00:00 0.0220 1.283670e+02 0.0220 \n", + "2015-03-10 23:59:00+00:00 0.0214 5.496176e+01 0.0214 \n", + "2015-03-11 23:59:00+00:00 0.0211 4.251194e+01 0.0211 \n", + "2015-03-12 23:59:00+00:00 0.0210 2.909892e+00 0.0210 \n", + "2015-03-13 23:59:00+00:00 0.0213 5.761316e+01 0.0213 \n", + "2015-03-14 23:59:00+00:00 0.0213 4.831006e+01 0.0213 \n", + "2015-03-15 23:59:00+00:00 0.0213 2.945411e+01 0.0213 \n", + "2015-03-16 23:59:00+00:00 0.0210 2.556469e+01 0.0210 \n", + "2015-03-17 23:59:00+00:00 0.0206 9.033750e-03 0.0206 \n", + "2015-03-18 23:59:00+00:00 0.0193 1.649113e+02 0.0193 \n", + "2015-03-19 23:59:00+00:00 0.0198 7.139042e+02 0.0198 \n", + "2015-03-20 23:59:00+00:00 0.0193 1.327258e+02 0.0193 \n", + "2015-03-21 23:59:00+00:00 0.0193 2.011551e+02 0.0193 \n", + "2015-03-22 23:59:00+00:00 0.0193 6.437845e+01 0.0193 \n", + "2015-03-23 23:59:00+00:00 0.0192 6.185039e+01 0.0192 \n", + "2015-03-24 23:59:00+00:00 0.0188 4.901803e+02 0.0188 \n", + "2015-03-25 23:59:00+00:00 0.0193 9.086237e+01 0.0193 \n", + "2015-03-26 23:59:00+00:00 0.0201 2.299378e+00 0.0201 \n", + "2015-03-27 23:59:00+00:00 0.0195 6.635365e-01 0.0195 \n", + "2015-03-28 23:59:00+00:00 0.0195 7.061529e+00 0.0195 \n", + "2015-03-29 23:59:00+00:00 0.0195 8.526549e+00 0.0195 \n", + "2015-03-30 23:59:00+00:00 0.0196 2.965462e+01 0.0196 \n", + "... ... ... ... \n", + "2017-05-30 23:59:00+00:00 0.0221 4.015796e+07 0.0221 \n", + "2017-05-31 23:59:00+00:00 0.0221 3.230641e+07 0.0221 \n", + "2017-06-01 23:59:00+00:00 0.0221 4.094488e+07 0.0221 \n", + "2017-06-02 23:59:00+00:00 0.0215 2.236456e+07 0.0215 \n", + "2017-06-03 23:59:00+00:00 0.0215 2.368728e+07 0.0215 \n", + "2017-06-04 23:59:00+00:00 0.0215 2.133202e+07 0.0215 \n", + "2017-06-05 23:59:00+00:00 0.0218 2.237223e+07 0.0218 \n", + "2017-06-06 23:59:00+00:00 0.0214 8.192318e+07 0.0214 \n", + "2017-06-07 23:59:00+00:00 0.0218 4.907043e+07 0.0218 \n", + "2017-06-08 23:59:00+00:00 0.0219 3.401341e+07 0.0219 \n", + "2017-06-09 23:59:00+00:00 0.0221 2.527543e+07 0.0221 \n", + "2017-06-10 23:59:00+00:00 0.0221 3.062079e+07 0.0221 \n", + "2017-06-11 23:59:00+00:00 0.0221 3.083068e+07 0.0221 \n", + "2017-06-12 23:59:00+00:00 0.0221 8.870471e+07 0.0221 \n", + "2017-06-13 23:59:00+00:00 0.0221 4.225130e+07 0.0221 \n", + "2017-06-14 23:59:00+00:00 0.0215 6.318309e+07 0.0215 \n", + "2017-06-15 23:59:00+00:00 0.0216 1.046775e+08 0.0216 \n", + "2017-06-16 23:59:00+00:00 0.0216 4.347997e+07 0.0216 \n", + "2017-06-17 23:59:00+00:00 0.0216 3.680092e+07 0.0216 \n", + "2017-06-18 23:59:00+00:00 0.0216 4.641176e+07 0.0216 \n", + "2017-06-19 23:59:00+00:00 0.0219 2.829441e+07 0.0219 \n", + "2017-06-20 23:59:00+00:00 0.0216 3.690385e+07 0.0216 \n", + "2017-06-21 23:59:00+00:00 0.0216 4.381566e+07 0.0216 \n", + "2017-06-22 23:59:00+00:00 0.0215 2.230465e+07 0.0215 \n", + "2017-06-23 23:59:00+00:00 0.0215 1.309023e+07 0.0215 \n", + "2017-06-24 23:59:00+00:00 0.0215 3.408856e+07 0.0215 \n", + "2017-06-25 23:59:00+00:00 0.0215 4.156020e+07 0.0215 \n", + "2017-06-26 23:59:00+00:00 0.0214 7.384048e+07 0.0214 \n", + "2017-06-27 23:59:00+00:00 0.0221 6.242632e+07 0.0221 \n", + "2017-06-28 23:59:00+00:00 0.0221 3.967684e+07 0.0221 \n", + "\n", + " algorithm benchmark \n", + "2015-03-01 23:59:00+00:00 0.000000 0.000000 \n", + "2015-03-02 23:59:00+00:00 -0.017702 0.003984 \n", + "2015-03-03 23:59:00+00:00 0.030808 0.064622 \n", + "2015-03-04 23:59:00+00:00 0.071541 0.115538 \n", + "2015-03-05 23:59:00+00:00 -0.001765 0.023905 \n", + "2015-03-06 23:59:00+00:00 0.017358 0.047809 \n", + "2015-03-07 23:59:00+00:00 0.007796 0.035857 \n", + "2015-03-08 23:59:00+00:00 0.007796 0.035857 \n", + "2015-03-09 23:59:00+00:00 0.020545 0.051793 \n", + "2015-03-10 23:59:00+00:00 0.106601 0.159363 \n", + "2015-03-11 23:59:00+00:00 0.058792 0.099602 \n", + "2015-03-12 23:59:00+00:00 0.058792 0.099602 \n", + "2015-03-13 23:59:00+00:00 0.055955 0.096056 \n", + "2015-03-14 23:59:00+00:00 0.055923 0.096016 \n", + "2015-03-15 23:59:00+00:00 0.068698 0.111984 \n", + "2015-03-16 23:59:00+00:00 0.055923 0.096016 \n", + "2015-03-17 23:59:00+00:00 0.055605 0.095618 \n", + "2015-03-18 23:59:00+00:00 0.030138 0.063785 \n", + "2015-03-19 23:59:00+00:00 0.023242 0.055165 \n", + "2015-03-20 23:59:00+00:00 0.019145 0.050043 \n", + "2015-03-21 23:59:00+00:00 -0.004514 0.020470 \n", + "2015-03-22 23:59:00+00:00 0.031754 0.065804 \n", + "2015-03-23 23:59:00+00:00 0.009942 0.038540 \n", + "2015-03-24 23:59:00+00:00 -0.047900 -0.033763 \n", + "2015-03-25 23:59:00+00:00 -0.032123 -0.014042 \n", + "2015-03-26 23:59:00+00:00 -0.047900 -0.033763 \n", + "2015-03-27 23:59:00+00:00 -0.013391 0.009373 \n", + "2015-03-28 23:59:00+00:00 0.004228 0.031397 \n", + "2015-03-29 23:59:00+00:00 -0.030549 -0.012074 \n", + "2015-03-30 23:59:00+00:00 -0.010203 0.013358 \n", + "... ... ... \n", + "2017-05-30 23:59:00+00:00 5.999828 7.525896 \n", + "2017-05-31 23:59:00+00:00 6.181501 7.752988 \n", + "2017-06-01 23:59:00+00:00 6.556307 8.221495 \n", + "2017-06-02 23:59:00+00:00 6.854011 8.593625 \n", + "2017-06-03 23:59:00+00:00 7.004771 8.782075 \n", + "2017-06-04 23:59:00+00:00 7.094808 8.894622 \n", + "2017-06-05 23:59:00+00:00 7.578653 9.499428 \n", + "2017-06-06 23:59:00+00:00 8.250027 10.338645 \n", + "2017-06-07 23:59:00+00:00 7.610997 9.539858 \n", + "2017-06-08 23:59:00+00:00 8.065166 10.107570 \n", + "2017-06-09 23:59:00+00:00 8.154727 10.219521 \n", + "2017-06-10 23:59:00+00:00 8.141087 10.202471 \n", + "2017-06-11 23:59:00+00:00 8.540385 10.701594 \n", + "2017-06-12 23:59:00+00:00 7.373693 9.243228 \n", + "2017-06-13 23:59:00+00:00 7.710663 9.664441 \n", + "2017-06-14 23:59:00+00:00 6.786380 8.509086 \n", + "2017-06-15 23:59:00+00:00 6.745593 8.458103 \n", + "2017-06-16 23:59:00+00:00 6.940067 8.701195 \n", + "2017-06-17 23:59:00+00:00 7.488745 9.387043 \n", + "2017-06-18 23:59:00+00:00 7.122696 8.929482 \n", + "2017-06-19 23:59:00+00:00 7.411930 9.291024 \n", + "2017-06-20 23:59:00+00:00 7.682696 9.629482 \n", + "2017-06-21 23:59:00+00:00 7.529708 9.438247 \n", + "2017-06-22 23:59:00+00:00 7.699832 9.650902 \n", + "2017-06-23 23:59:00+00:00 7.689071 9.637450 \n", + "2017-06-24 23:59:00+00:00 7.158336 8.974032 \n", + "2017-06-25 23:59:00+00:00 7.083182 8.880089 \n", + "2017-06-26 23:59:00+00:00 6.813497 8.542984 \n", + "2017-06-27 23:59:00+00:00 7.179111 9.000000 \n", + "2017-06-28 23:59:00+00:00 7.188672 9.000000 \n", + "\n", + "[851 rows x 45 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%%catalyst --start 2015-3-1 --end 2017-6-28 --capital-base 100000 -x bitfinex -c usd\n", + "\n", + "from catalyst.finance.slippage import VolumeShareSlippage\n", + "\n", + "from catalyst.api import (\n", + " order_target_value,\n", + " symbol,\n", + " record,\n", + " cancel_order,\n", + " get_open_orders,\n", + ")\n", + "\n", + "def initialize(context):\n", + " context.ASSET_NAME = 'btc_usdt'\n", + " context.TARGET_HODL_RATIO = 0.8\n", + " context.RESERVE_RATIO = 1.0 - context.TARGET_HODL_RATIO\n", + "\n", + " # For all trading pairs in the poloniex bundle, the default denomination\n", + " # currently supported by Catalyst is 1/1000th of a full coin. Use this\n", + " # constant to scale the price of up to that of a full coin if desired.\n", + " context.TICK_SIZE = 1000.0\n", + "\n", + " context.is_buying = True\n", + " context.asset = symbol(context.ASSET_NAME)\n", + "\n", + " context.i = 0\n", + "\n", + "def handle_data(context, data):\n", + " context.i += 1\n", + "\n", + " starting_cash = context.portfolio.starting_cash\n", + " target_hodl_value = context.TARGET_HODL_RATIO * starting_cash\n", + " reserve_value = context.RESERVE_RATIO * starting_cash\n", + "\n", + " # Cancel any outstanding orders\n", + " orders = get_open_orders(context.asset) or []\n", + " for order in orders:\n", + " cancel_order(order)\n", + " \n", + " # Stop buying after passing the reserve threshold\n", + " cash = context.portfolio.cash\n", + " if cash <= reserve_value:\n", + " context.is_buying = False\n", + "\n", + " # Retrieve current asset price from pricing data\n", + " price = data.current(context.asset,'price')\n", + "\n", + " # Check if still buying and could (approximately) afford another purchase\n", + " if context.is_buying and cash > price:\n", + " # Place order to make position in asset equal to target_hodl_value\n", + " order_target_value(\n", + " context.asset,\n", + " target_hodl_value,\n", + " limit_price=price*1.1,\n", + " stop_price=price*0.9,\n", + " )\n", + "\n", + " record(\n", + " price=price,\n", + " volume=data.current(context.asset,'volume'),\n", + " cash=cash,\n", + " starting_cash=context.portfolio.starting_cash,\n", + " leverage=context.account.leverage,\n", + " )\n", + "\n", + "def analyze(context=None, results=None):\n", + " import matplotlib.pyplot as plt\n", + "\n", + " # Plot the portfolio and asset data.\n", + " ax1 = plt.subplot(611)\n", + " results[['portfolio_value']].plot(ax=ax1)\n", + " ax1.set_ylabel('Portfolio Value (USD)')\n", + "\n", + " ax2 = plt.subplot(612, sharex=ax1)\n", + " ax2.set_ylabel('{asset} (USD)'.format(asset=context.ASSET_NAME))\n", + " (context.TICK_SIZE * results[['price']]).plot(ax=ax2)\n", + "\n", + " trans = results.ix[[t != [] for t in results.transactions]]\n", + " buys = trans.ix[\n", + " [t[0]['amount'] > 0 for t in trans.transactions]\n", + " ]\n", + " ax2.plot(\n", + " buys.index,\n", + " context.TICK_SIZE * results.price[buys.index],\n", + " '^',\n", + " markersize=10,\n", + " color='g',\n", + " )\n", + "\n", + " ax3 = plt.subplot(613, sharex=ax1)\n", + " results[['leverage', 'alpha', 'beta']].plot(ax=ax3)\n", + " ax3.set_ylabel('Leverage ')\n", + "\n", + " ax4 = plt.subplot(614, sharex=ax1)\n", + " results[['starting_cash', 'cash']].plot(ax=ax4)\n", + " ax4.set_ylabel('Cash (USD)')\n", + "\n", + " results[[\n", + " 'treasury',\n", + " 'algorithm',\n", + " 'benchmark',\n", + " ]] = results[[\n", + " 'treasury_period_return',\n", + " 'algorithm_period_return',\n", + " 'benchmark_period_return',\n", + " ]]\n", + "\n", + " ax5 = plt.subplot(615, sharex=ax1)\n", + " results[[\n", + " 'treasury',\n", + " 'algorithm',\n", + " 'benchmark',\n", + " ]].plot(ax=ax5)\n", + " ax5.set_ylabel('Percent Change')\n", + "\n", + " ax6 = plt.subplot(616, sharex=ax1)\n", + " results[['volume']].plot(ax=ax6)\n", + " ax6.set_ylabel('Volume (mCoins/5min)')\n", + "\n", + " plt.legend(loc=3)\n", + "\n", + " # Show the plot.\n", + " plt.gcf().set_size_inches(18, 8)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Also, instead of defining an output file we are accessing it via the \"_\" variable that will be created in the name space and contain the performance DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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algo_volatilityalgorithm_period_returnalphabenchmark_period_returnbenchmark_volatilitybetacapital_usedcashending_cashending_exposure...starting_cashstarting_exposurestarting_valuetrading_daystransactionstreasury_period_returnvolumetreasuryalgorithmbenchmark
2015-03-01 23:59:00+00:00NaN0.000000NaN0.045833NaNNaN0.000000100000.000000100000.0000000.000...100000.00.0000.0001[]0.02003170.02000.0000000.045833
2015-03-02 23:59:00+00:000.000278-0.0000250.0110450.1208330.290503-0.000956-85544.47495514455.52504514455.52504585542.000...100000.00.0000.0002[{u'commission': None, u'amount': 318, u'sid':...0.0208980630.0208-0.0000250.120833
2015-03-03 23:59:00+00:000.051796-0.005688-1.1975440.1134160.6335380.0772390.00000014455.52504514455.52504584975.642...100000.085542.00085542.0003[]0.02124429830.0212-0.0056880.113416
2015-03-04 23:59:00+00:000.3421180.0349550.4018610.1666660.5244000.1814680.00000014455.52504514455.52504589040.000...100000.084975.64284975.6424[]0.02122458890.02120.0349550.166666
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5 rows × 45 columns

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" + ], + "text/plain": [ + " algo_volatility algorithm_period_return alpha \\\n", + "2015-03-01 23:59:00+00:00 NaN 0.000000 NaN \n", + "2015-03-02 23:59:00+00:00 0.000278 -0.000025 0.011045 \n", + "2015-03-03 23:59:00+00:00 0.051796 -0.005688 -1.197544 \n", + "2015-03-04 23:59:00+00:00 0.342118 0.034955 0.401861 \n", + "2015-03-05 23:59:00+00:00 0.637226 -0.038185 -3.914003 \n", + "\n", + " benchmark_period_return benchmark_volatility \\\n", + "2015-03-01 23:59:00+00:00 0.045833 NaN \n", + "2015-03-02 23:59:00+00:00 0.120833 0.290503 \n", + "2015-03-03 23:59:00+00:00 0.113416 0.633538 \n", + "2015-03-04 23:59:00+00:00 0.166666 0.524400 \n", + "2015-03-05 23:59:00+00:00 0.070834 0.976896 \n", + "\n", + " beta capital_used cash \\\n", + "2015-03-01 23:59:00+00:00 NaN 0.000000 100000.000000 \n", + "2015-03-02 23:59:00+00:00 -0.000956 -85544.474955 14455.525045 \n", + "2015-03-03 23:59:00+00:00 0.077239 0.000000 14455.525045 \n", + "2015-03-04 23:59:00+00:00 0.181468 0.000000 14455.525045 \n", + "2015-03-05 23:59:00+00:00 0.550520 0.000000 14455.525045 \n", + "\n", + " ending_cash ending_exposure ... \\\n", + "2015-03-01 23:59:00+00:00 100000.000000 0.000 ... \n", + "2015-03-02 23:59:00+00:00 14455.525045 85542.000 ... \n", + "2015-03-03 23:59:00+00:00 14455.525045 84975.642 ... \n", + "2015-03-04 23:59:00+00:00 14455.525045 89040.000 ... \n", + "2015-03-05 23:59:00+00:00 14455.525045 81726.000 ... \n", + "\n", + " starting_cash starting_exposure starting_value \\\n", + "2015-03-01 23:59:00+00:00 100000.0 0.000 0.000 \n", + "2015-03-02 23:59:00+00:00 100000.0 0.000 0.000 \n", + "2015-03-03 23:59:00+00:00 100000.0 85542.000 85542.000 \n", + "2015-03-04 23:59:00+00:00 100000.0 84975.642 84975.642 \n", + "2015-03-05 23:59:00+00:00 100000.0 89040.000 89040.000 \n", + "\n", + " trading_days \\\n", + "2015-03-01 23:59:00+00:00 1 \n", + "2015-03-02 23:59:00+00:00 2 \n", + "2015-03-03 23:59:00+00:00 3 \n", + "2015-03-04 23:59:00+00:00 4 \n", + "2015-03-05 23:59:00+00:00 5 \n", + "\n", + " transactions \\\n", + "2015-03-01 23:59:00+00:00 [] \n", + "2015-03-02 23:59:00+00:00 [{u'commission': None, u'amount': 318, u'sid':... \n", + "2015-03-03 23:59:00+00:00 [] \n", + "2015-03-04 23:59:00+00:00 [] \n", + "2015-03-05 23:59:00+00:00 [] \n", + "\n", + " treasury_period_return volume treasury \\\n", + "2015-03-01 23:59:00+00:00 0.0200 317 0.0200 \n", + "2015-03-02 23:59:00+00:00 0.0208 98063 0.0208 \n", + "2015-03-03 23:59:00+00:00 0.0212 442983 0.0212 \n", + "2015-03-04 23:59:00+00:00 0.0212 245889 0.0212 \n", + "2015-03-05 23:59:00+00:00 0.0211 117440 0.0211 \n", + "\n", + " algorithm benchmark \n", + "2015-03-01 23:59:00+00:00 0.000000 0.045833 \n", + "2015-03-02 23:59:00+00:00 -0.000025 0.120833 \n", + "2015-03-03 23:59:00+00:00 -0.005688 0.113416 \n", + "2015-03-04 23:59:00+00:00 0.034955 0.166666 \n", + "2015-03-05 23:59:00+00:00 -0.038185 0.070834 \n", + "\n", + "[5 rows x 45 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "_.head()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 2", + "language": "python", + "name": "python2" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 94583c2684ca5e43b3a21296789dd21378be66aa Mon Sep 17 00:00:00 2001 From: Victor Grau Serrat Date: Tue, 12 Dec 2017 16:28:13 -0700 Subject: [PATCH 4/5] DOC: updating docs - no stop orders on ccxt --- ...running_catalyst_in_jupyter_notebook.ipynb | 2528 ++++++++--------- docs/source/beginner-tutorial.rst | 1 - docs/source/example-algos.rst | 1 - 3 files changed, 1237 insertions(+), 1293 deletions(-) diff --git a/catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb b/catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb index a951e943..1d1b3d90 100644 --- a/catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb +++ b/catalyst/examples/running_catalyst_in_jupyter_notebook.ipynb @@ -17,9 +17,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "# Register the catalyst magic\n", @@ -29,9 +27,7 @@ { "cell_type": "code", "execution_count": 2, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "# Setup matplotlib to display graphs inline in this Notebook\n", @@ -47,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": { "scrolled": false }, @@ -56,18 +52,32 @@ "name": "stderr", "output_type": "stream", "text": [ - "[2017-10-27 14:15:29.957421] INFO: run_algo: running algo in backtest mode\n", - "[2017-10-27 14:15:30.573555] INFO: exchange_algorithm: initialized trading algorithm in backtest mode\n", - "[2017-10-27 14:15:36.376882] INFO: Performance: Simulated 851 trading days out of 851.\n", - "[2017-10-27 14:15:36.378059] INFO: Performance: first open: 2015-03-01 00:00:00+00:00\n", - "[2017-10-27 14:15:36.379327] INFO: Performance: last close: 2017-06-28 23:59:00+00:00\n" + "[2017-12-12 23:24:22.056836] INFO: run_algo: running algo in backtest mode\n", + "[2017-12-12 23:24:22.138743] INFO: exchange_bundle: pricing data for [u'btc_usdt'] not found in range 2015-03-01 00:00:00+00:00 to 2017-06-27 00:00:00+00:00, updating the bundles.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ingesting daily price data for btc_usdt on poloniex\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2017-12-12 23:24:23.713668] INFO: exchange_algorithm: initialized trading algorithm in backtest mode\n", + "[2017-12-12 23:24:27.865042] INFO: Performance: Simulated 851 trading days out of 851.\n", + "[2017-12-12 23:24:27.865826] INFO: Performance: first open: 2015-03-01 00:00:00+00:00\n", + "[2017-12-12 23:24:27.866537] INFO: Performance: last close: 2017-06-28 23:59:00+00:00\n" ] }, { "data": { - "image/png": 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EpDxFRdF43nvvmMdh/nwYPTp6bBxzTDT6P/ggAh39+8ccE+lLiE6cCAceGEGH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\n/MenSXZ99e5DeCDV+vfLTmr/70bs/Ek/m8Iv6lGt995PFN4/4tJEtf5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GRyZ3XTkXy98V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ovO22CBzMnQv9+0dHvaAA2rTJXu+iRTEFpE8f+Prr6Kg/+mjcr1evuHbffSMw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Fmz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\nFh0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23:59:00+00:00 0.351151 0.039234 1.427229 \n", + "2015-03-10 23:59:00+00:00 0.331070 0.044173 1.598363 \n", + "2015-03-11 23:59:00+00:00 0.315912 0.056307 1.581998 \n", + "2015-03-12 23:59:00+00:00 0.303546 0.053106 1.379340 \n", + "2015-03-13 23:59:00+00:00 0.340503 0.015392 0.536384 \n", + "2015-03-14 23:59:00+00:00 0.327414 0.013624 0.464604 \n", + "2015-03-15 23:59:00+00:00 0.319171 0.026734 0.671484 \n", + "2015-03-16 23:59:00+00:00 0.311356 0.039904 0.814079 \n", + "2015-03-17 23:59:00+00:00 0.311274 0.021703 0.499630 \n", + "2015-03-18 23:59:00+00:00 0.438883 -0.063785 -0.875710 \n", + "2015-03-19 23:59:00+00:00 0.431989 -0.049242 -0.635496 \n", + "2015-03-20 23:59:00+00:00 0.420599 -0.048602 -0.590673 \n", + "2015-03-21 23:59:00+00:00 0.410115 -0.053846 -0.627981 \n", + "2015-03-22 23:59:00+00:00 0.412261 -0.028388 -0.313487 \n", + "2015-03-23 23:59:00+00:00 0.403002 -0.033236 -0.334801 \n", + "2015-03-24 23:59:00+00:00 0.448116 -0.097961 -0.950042 \n", + "2015-03-25 23:59:00+00:00 0.438954 -0.097077 -0.940773 \n", + "2015-03-26 23:59:00+00:00 0.432277 -0.087809 -0.770002 \n", + "2015-03-27 23:59:00+00:00 0.424318 -0.096437 -0.900059 \n", + "2015-03-28 23:59:00+00:00 0.423172 -0.076772 -0.643934 \n", + "2015-03-29 23:59:00+00:00 0.425615 -0.107900 -0.910906 \n", + "2015-03-30 23:59:00+00:00 0.422749 -0.092077 -0.767531 \n", "... ... ... ... \n", - "2017-05-30 23:59:00+00:00 0.484224 5.999828 0.005407 \n", - "2017-05-31 23:59:00+00:00 0.484098 6.181501 0.006170 \n", - "2017-06-01 23:59:00+00:00 0.484572 6.556307 0.007594 \n", - "2017-06-02 23:59:00+00:00 0.484697 6.854011 0.008716 \n", - "2017-06-03 23:59:00+00:00 0.484486 7.004771 0.009295 \n", - "2017-06-04 23:59:00+00:00 0.484214 7.094808 0.009638 \n", - "2017-06-05 23:59:00+00:00 0.484933 7.578653 0.011239 \n", - "2017-06-06 23:59:00+00:00 0.486410 8.250027 0.013201 \n", - "2017-06-07 23:59:00+00:00 0.487744 7.610997 0.010454 \n", - "2017-06-08 23:59:00+00:00 0.488217 8.065166 0.011887 \n", - 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23:59:00+00:00 0.496855 7.083182 0.004857 \n", - "2017-06-26 23:59:00+00:00 0.496956 6.813497 0.003769 \n", - "2017-06-27 23:59:00+00:00 0.497238 7.179111 0.004971 \n", - "2017-06-28 23:59:00+00:00 0.496946 7.188672 0.005314 \n", + "2017-05-30 23:59:00+00:00 0.427200 5.696856 0.157089 \n", + "2017-05-31 23:59:00+00:00 0.427054 5.834356 0.157937 \n", + "2017-06-01 23:59:00+00:00 0.427722 6.200819 0.162931 \n", + "2017-06-02 23:59:00+00:00 0.427951 6.487100 0.166601 \n", + "2017-06-03 23:59:00+00:00 0.427829 6.655087 0.169294 \n", + "2017-06-04 23:59:00+00:00 0.427593 6.738014 0.170134 \n", + "2017-06-05 23:59:00+00:00 0.428439 7.191368 0.174943 \n", + "2017-06-06 23:59:00+00:00 0.430141 7.824600 0.180975 \n", + "2017-06-07 23:59:00+00:00 0.431723 7.213014 0.171850 \n", + "2017-06-08 23:59:00+00:00 0.432277 7.632222 0.175931 \n", + "2017-06-09 23:59:00+00:00 0.432032 7.716063 0.176681 \n", + "2017-06-10 23:59:00+00:00 0.431778 7.706917 0.176444 \n", + "2017-06-11 23:59:00+00:00 0.432214 8.120941 0.181278 \n", + "2017-06-12 23:59:00+00:00 0.437592 6.986185 0.162983 \n", + "2017-06-13 23:59:00+00:00 0.437831 7.313929 0.166669 \n", + "2017-06-14 23:59:00+00:00 0.441463 6.451734 0.153438 \n", + "2017-06-15 23:59:00+00:00 0.441231 6.400514 0.152175 \n", + "2017-06-16 23:59:00+00:00 0.441132 6.583441 0.154278 \n", + "2017-06-17 23:59:00+00:00 0.442375 7.109661 0.159795 \n", + "2017-06-18 23:59:00+00:00 0.442876 6.747770 0.154265 \n", + "2017-06-19 23:59:00+00:00 0.442976 7.023990 0.157300 \n", + "2017-06-20 23:59:00+00:00 0.443473 7.427953 0.165028 \n", + "2017-06-21 23:59:00+00:00 0.443635 7.153258 0.158260 \n", + "2017-06-22 23:59:00+00:00 0.443450 7.300819 0.159417 \n", + "2017-06-23 23:59:00+00:00 0.443189 7.307222 0.159709 \n", + "2017-06-24 23:59:00+00:00 0.444394 6.781917 0.151725 \n", + "2017-06-25 23:59:00+00:00 0.444167 6.723075 0.150972 \n", + "2017-06-26 23:59:00+00:00 0.444393 6.449600 0.146720 \n", + "2017-06-27 23:59:00+00:00 0.444947 6.838624 0.151955 \n", + 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0.559291 \n", - "2017-06-14 23:59:00+00:00 8.509086 0.562313 \n", - "2017-06-15 23:59:00+00:00 8.458103 0.561997 \n", - "2017-06-16 23:59:00+00:00 8.701195 0.561795 \n", - "2017-06-17 23:59:00+00:00 9.387043 0.562671 \n", - "2017-06-18 23:59:00+00:00 8.929482 0.562936 \n", - "2017-06-19 23:59:00+00:00 9.291024 0.562891 \n", - "2017-06-20 23:59:00+00:00 9.629482 0.562788 \n", - "2017-06-21 23:59:00+00:00 9.438247 0.562576 \n", - "2017-06-22 23:59:00+00:00 9.650902 0.562319 \n", - "2017-06-23 23:59:00+00:00 9.637450 0.561992 \n", - "2017-06-24 23:59:00+00:00 8.974032 0.562805 \n", - "2017-06-25 23:59:00+00:00 8.880089 0.562516 \n", - "2017-06-26 23:59:00+00:00 8.542984 0.562555 \n", - "2017-06-27 23:59:00+00:00 9.000000 0.562747 \n", - "2017-06-28 23:59:00+00:00 9.000000 0.562419 \n", + "2017-05-30 23:59:00+00:00 7.525896 0.553873 \n", + "2017-05-31 23:59:00+00:00 7.752988 0.553688 \n", + "2017-06-01 23:59:00+00:00 8.221495 0.554049 \n", + "2017-06-02 23:59:00+00:00 8.593625 0.554091 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759573.170761 ... 100000.0 \n", + "2017-06-19 23:59:00+00:00 787195.121981 ... 100000.0 \n", + "2017-06-20 23:59:00+00:00 827591.463446 ... 100000.0 \n", + "2017-06-21 23:59:00+00:00 800121.951250 ... 100000.0 \n", + "2017-06-22 23:59:00+00:00 814878.048812 ... 100000.0 \n", + "2017-06-23 23:59:00+00:00 815518.292714 ... 100000.0 \n", + "2017-06-24 23:59:00+00:00 762987.804907 ... 100000.0 \n", + "2017-06-25 23:59:00+00:00 757103.658565 ... 100000.0 \n", + "2017-06-26 23:59:00+00:00 729756.097589 ... 100000.0 \n", + "2017-06-27 23:59:00+00:00 768658.536612 ... 100000.0 \n", + "2017-06-28 23:59:00+00:00 767743.902465 ... 100000.0 \n", "\n", - " starting_cash starting_exposure starting_value \\\n", - "2015-03-01 23:59:00+00:00 100000.0 0.000000 0.000000 \n", - "2015-03-02 23:59:00+00:00 100000.0 0.000000 0.000000 \n", - "2015-03-03 23:59:00+00:00 100000.0 80318.725100 80318.725100 \n", - "2015-03-04 23:59:00+00:00 100000.0 85169.721112 85169.721112 \n", - "2015-03-05 23:59:00+00:00 100000.0 89243.027888 89243.027888 \n", - "2015-03-06 23:59:00+00:00 100000.0 81912.416376 81912.416376 \n", - "2015-03-07 23:59:00+00:00 100000.0 83824.757788 83824.757788 \n", - "2015-03-08 23:59:00+00:00 100000.0 82868.527560 82868.527560 \n", - "2015-03-09 23:59:00+00:00 100000.0 82868.535780 82868.535780 \n", - "2015-03-10 23:59:00+00:00 100000.0 84143.427994 84143.427994 \n", - "2015-03-11 23:59:00+00:00 100000.0 92749.003984 92749.003984 \n", - "2015-03-12 23:59:00+00:00 100000.0 87968.127493 87968.127493 \n", - "2015-03-13 23:59:00+00:00 100000.0 87968.127844 87968.127844 \n", - "2015-03-14 23:59:00+00:00 100000.0 87684.462180 87684.462180 \n", - "2015-03-15 23:59:00+00:00 100000.0 87681.275015 87681.275015 \n", - "2015-03-16 23:59:00+00:00 100000.0 88958.725205 88958.725205 \n", - "2015-03-17 23:59:00+00:00 100000.0 87681.274971 87681.274971 \n", - "2015-03-18 23:59:00+00:00 100000.0 87649.402400 87649.402400 \n", - "2015-03-19 23:59:00+00:00 100000.0 85102.788857 85102.788857 \n", - "2015-03-20 23:59:00+00:00 100000.0 84413.168178 84413.168178 \n", - "2015-03-21 23:59:00+00:00 100000.0 84003.452092 84003.452092 \n", - "2015-03-22 23:59:00+00:00 100000.0 81637.561928 81637.561928 \n", - "2015-03-23 23:59:00+00:00 100000.0 85264.334161 85264.334161 \n", - "2015-03-24 23:59:00+00:00 100000.0 83083.190875 83083.190875 \n", - "2015-03-25 23:59:00+00:00 100000.0 77298.966489 77298.966489 \n", - "2015-03-26 23:59:00+00:00 100000.0 78876.658129 78876.658129 \n", - "2015-03-27 23:59:00+00:00 100000.0 77298.964143 77298.964143 \n", - "2015-03-28 23:59:00+00:00 100000.0 80749.864542 80749.864542 \n", - "2015-03-29 23:59:00+00:00 100000.0 82511.770292 82511.770292 \n", - "2015-03-30 23:59:00+00:00 100000.0 79034.049409 79034.049409 \n", - "... ... ... ... \n", - "2017-05-30 23:59:00+00:00 100000.0 703426.294821 703426.294821 \n", - "2017-05-31 23:59:00+00:00 100000.0 682071.713144 682071.713144 \n", - "2017-06-01 23:59:00+00:00 100000.0 700239.043720 700239.043720 \n", - "2017-06-02 23:59:00+00:00 100000.0 737719.602167 737719.602167 \n", - "2017-06-03 23:59:00+00:00 100000.0 767490.039841 767490.039841 \n", - "2017-06-04 23:59:00+00:00 100000.0 782566.007445 782566.007445 \n", - "2017-06-05 23:59:00+00:00 100000.0 791569.721116 791569.721116 \n", - "2017-06-06 23:59:00+00:00 100000.0 839954.269594 839954.269594 \n", - "2017-06-07 23:59:00+00:00 100000.0 907091.633466 907091.633466 \n", - "2017-06-08 23:59:00+00:00 100000.0 843188.624293 843188.624293 \n", - "2017-06-09 23:59:00+00:00 100000.0 888605.577689 888605.577689 \n", - "2017-06-10 23:59:00+00:00 100000.0 897561.669122 897561.669122 \n", - "2017-06-11 23:59:00+00:00 100000.0 896197.679688 896197.679688 \n", - "2017-06-12 23:59:00+00:00 100000.0 936127.490040 936127.490040 \n", - "2017-06-13 23:59:00+00:00 100000.0 819458.210123 819458.210123 \n", - "2017-06-14 23:59:00+00:00 100000.0 853155.281842 853155.281842 \n", - "2017-06-15 23:59:00+00:00 100000.0 760726.919461 760726.919461 \n", - "2017-06-16 23:59:00+00:00 100000.0 756648.279624 756648.279624 \n", - "2017-06-17 23:59:00+00:00 100000.0 776095.617533 776095.617533 \n", - "2017-06-18 23:59:00+00:00 100000.0 830963.408991 830963.408991 \n", - "2017-06-19 23:59:00+00:00 100000.0 794358.565731 794358.565731 \n", - "2017-06-20 23:59:00+00:00 100000.0 823281.942712 823281.942712 \n", - "2017-06-21 23:59:00+00:00 100000.0 850358.566696 850358.566696 \n", - "2017-06-22 23:59:00+00:00 100000.0 835059.760956 835059.760956 \n", - "2017-06-23 23:59:00+00:00 100000.0 852072.149759 852072.149759 \n", - "2017-06-24 23:59:00+00:00 100000.0 850996.015936 850996.015936 \n", - "2017-06-25 23:59:00+00:00 100000.0 797922.562062 797922.562062 \n", - "2017-06-26 23:59:00+00:00 100000.0 790407.126821 790407.126821 \n", - "2017-06-27 23:59:00+00:00 100000.0 763438.699576 763438.699576 \n", - "2017-06-28 23:59:00+00:00 100000.0 800000.000000 800000.000000 \n", - "\n", - " trading_days \\\n", - "2015-03-01 23:59:00+00:00 1 \n", - "2015-03-02 23:59:00+00:00 2 \n", - "2015-03-03 23:59:00+00:00 3 \n", - "2015-03-04 23:59:00+00:00 4 \n", - "2015-03-05 23:59:00+00:00 5 \n", - "2015-03-06 23:59:00+00:00 6 \n", - "2015-03-07 23:59:00+00:00 7 \n", - "2015-03-08 23:59:00+00:00 8 \n", - "2015-03-09 23:59:00+00:00 9 \n", - "2015-03-10 23:59:00+00:00 10 \n", - "2015-03-11 23:59:00+00:00 11 \n", - "2015-03-12 23:59:00+00:00 12 \n", - "2015-03-13 23:59:00+00:00 13 \n", - "2015-03-14 23:59:00+00:00 14 \n", - "2015-03-15 23:59:00+00:00 15 \n", - "2015-03-16 23:59:00+00:00 16 \n", - "2015-03-17 23:59:00+00:00 17 \n", - "2015-03-18 23:59:00+00:00 18 \n", - "2015-03-19 23:59:00+00:00 19 \n", - "2015-03-20 23:59:00+00:00 20 \n", - "2015-03-21 23:59:00+00:00 21 \n", - "2015-03-22 23:59:00+00:00 22 \n", - "2015-03-23 23:59:00+00:00 23 \n", - "2015-03-24 23:59:00+00:00 24 \n", - "2015-03-25 23:59:00+00:00 25 \n", - "2015-03-26 23:59:00+00:00 26 \n", - "2015-03-27 23:59:00+00:00 27 \n", - "2015-03-28 23:59:00+00:00 28 \n", - "2015-03-29 23:59:00+00:00 29 \n", - "2015-03-30 23:59:00+00:00 30 \n", - "... ... \n", - "2017-05-30 23:59:00+00:00 822 \n", - "2017-05-31 23:59:00+00:00 823 \n", - "2017-06-01 23:59:00+00:00 824 \n", - "2017-06-02 23:59:00+00:00 825 \n", - "2017-06-03 23:59:00+00:00 826 \n", - "2017-06-04 23:59:00+00:00 827 \n", - "2017-06-05 23:59:00+00:00 828 \n", - "2017-06-06 23:59:00+00:00 829 \n", - "2017-06-07 23:59:00+00:00 830 \n", - "2017-06-08 23:59:00+00:00 831 \n", - "2017-06-09 23:59:00+00:00 832 \n", - "2017-06-10 23:59:00+00:00 833 \n", - "2017-06-11 23:59:00+00:00 834 \n", - "2017-06-12 23:59:00+00:00 835 \n", - "2017-06-13 23:59:00+00:00 836 \n", - "2017-06-14 23:59:00+00:00 837 \n", - "2017-06-15 23:59:00+00:00 838 \n", - "2017-06-16 23:59:00+00:00 839 \n", - "2017-06-17 23:59:00+00:00 840 \n", - "2017-06-18 23:59:00+00:00 841 \n", - "2017-06-19 23:59:00+00:00 842 \n", - "2017-06-20 23:59:00+00:00 843 \n", - "2017-06-21 23:59:00+00:00 844 \n", - "2017-06-22 23:59:00+00:00 845 \n", - "2017-06-23 23:59:00+00:00 846 \n", - "2017-06-24 23:59:00+00:00 847 \n", - "2017-06-25 23:59:00+00:00 848 \n", - "2017-06-26 23:59:00+00:00 849 \n", - "2017-06-27 23:59:00+00:00 850 \n", - "2017-06-28 23:59:00+00:00 851 \n", + " starting_exposure starting_value trading_days \\\n", + "2015-03-01 23:59:00+00:00 0.000000 0.000000 1 \n", + "2015-03-02 23:59:00+00:00 0.000000 0.000000 2 \n", + "2015-03-03 23:59:00+00:00 84576.219515 84576.219515 3 \n", + "2015-03-04 23:59:00+00:00 86509.146345 86509.146345 4 \n", + "2015-03-05 23:59:00+00:00 83332.317076 83332.317076 5 \n", + "2015-03-06 23:59:00+00:00 84661.585369 84661.585369 6 \n", + "2015-03-07 23:59:00+00:00 83341.463418 83341.463418 7 \n", + "2015-03-08 23:59:00+00:00 84442.073174 84442.073174 8 \n", + "2015-03-09 23:59:00+00:00 84021.341464 84021.341464 9 \n", + "2015-03-10 23:59:00+00:00 88719.512199 88719.512199 10 \n", + "2015-03-11 23:59:00+00:00 89213.414638 89213.414638 11 \n", + "2015-03-12 23:59:00+00:00 90426.829272 90426.829272 12 \n", + "2015-03-13 23:59:00+00:00 90106.707321 90106.707321 13 \n", + "2015-03-14 23:59:00+00:00 86335.365857 86335.365857 14 \n", + "2015-03-15 23:59:00+00:00 86158.536589 86158.536589 15 \n", + "2015-03-16 23:59:00+00:00 87469.512195 87469.512195 16 \n", + "2015-03-17 23:59:00+00:00 88786.585369 88786.585369 17 \n", + "2015-03-18 23:59:00+00:00 86966.463418 86966.463418 18 \n", + "2015-03-19 23:59:00+00:00 78417.682927 78417.682927 19 \n", + "2015-03-20 23:59:00+00:00 79871.951223 79871.951223 20 \n", + "2015-03-21 23:59:00+00:00 79935.975613 79935.975613 21 \n", + "2015-03-22 23:59:00+00:00 79411.585369 79411.585369 22 \n", + "2015-03-23 23:59:00+00:00 81957.317076 81957.317076 23 \n", + "2015-03-24 23:59:00+00:00 81472.560979 81472.560979 24 \n", + "2015-03-25 23:59:00+00:00 75000.000003 75000.000003 25 \n", + "2015-03-26 23:59:00+00:00 75088.414637 75088.414637 26 \n", + "2015-03-27 23:59:00+00:00 76015.243905 76015.243905 27 \n", + "2015-03-28 23:59:00+00:00 75152.439027 75152.439027 28 \n", + "2015-03-29 23:59:00+00:00 77118.902442 77118.902442 29 \n", + "2015-03-30 23:59:00+00:00 74006.097564 74006.097564 30 \n", + "... ... ... ... \n", + "2017-05-30 23:59:00+00:00 672987.804904 672987.804904 822 \n", + "2017-05-31 23:59:00+00:00 654481.707339 654481.707339 823 \n", + "2017-06-01 23:59:00+00:00 668231.707343 668231.707343 824 \n", + "2017-06-02 23:59:00+00:00 704878.048807 704878.048807 825 \n", + "2017-06-03 23:59:00+00:00 733506.097589 733506.097589 826 \n", + "2017-06-04 23:59:00+00:00 750304.878077 750304.878077 827 \n", + "2017-06-05 23:59:00+00:00 758597.561001 758597.561001 828 \n", + "2017-06-06 23:59:00+00:00 803932.926860 803932.926860 829 \n", + "2017-06-07 23:59:00+00:00 867256.097594 867256.097594 830 \n", + "2017-06-08 23:59:00+00:00 806097.561006 806097.561006 831 \n", + "2017-06-09 23:59:00+00:00 848018.292715 848018.292715 832 \n", + "2017-06-10 23:59:00+00:00 856402.439057 856402.439057 833 \n", + "2017-06-11 23:59:00+00:00 855487.804911 855487.804911 834 \n", + "2017-06-12 23:59:00+00:00 896890.243937 896890.243937 835 \n", + "2017-06-13 23:59:00+00:00 783414.634176 783414.634176 836 \n", + "2017-06-14 23:59:00+00:00 816189.024421 816189.024421 837 \n", + "2017-06-15 23:59:00+00:00 729969.512223 729969.512223 838 \n", + "2017-06-16 23:59:00+00:00 724847.561003 724847.561003 839 \n", + "2017-06-17 23:59:00+00:00 743140.243931 743140.243931 840 \n", + "2017-06-18 23:59:00+00:00 795762.195152 795762.195152 841 \n", + "2017-06-19 23:59:00+00:00 759573.170761 759573.170761 842 \n", + "2017-06-20 23:59:00+00:00 787195.121981 787195.121981 843 \n", + "2017-06-21 23:59:00+00:00 827591.463446 827591.463446 844 \n", + "2017-06-22 23:59:00+00:00 800121.951250 800121.951250 845 \n", + "2017-06-23 23:59:00+00:00 814878.048812 814878.048812 846 \n", + "2017-06-24 23:59:00+00:00 815518.292714 815518.292714 847 \n", + "2017-06-25 23:59:00+00:00 762987.804907 762987.804907 848 \n", + "2017-06-26 23:59:00+00:00 757103.658565 757103.658565 849 \n", + "2017-06-27 23:59:00+00:00 729756.097589 729756.097589 850 \n", + "2017-06-28 23:59:00+00:00 768658.536612 768658.536612 851 \n", "\n", " transactions \\\n", "2015-03-01 23:59:00+00:00 [] \n", - "2015-03-02 23:59:00+00:00 [{u'commission': None, u'amount': 318.72509960... \n", + "2015-03-02 23:59:00+00:00 [{u'commission': None, u'amount': 304.87804879... \n", "2015-03-03 23:59:00+00:00 [] \n", "2015-03-04 23:59:00+00:00 [] \n", "2015-03-05 23:59:00+00:00 [] \n", @@ -2017,135 +1964,135 @@ "2017-06-28 23:59:00+00:00 [] \n", "\n", " treasury_period_return volume treasury \\\n", - "2015-03-01 23:59:00+00:00 0.0200 3.177152e-01 0.0200 \n", - "2015-03-02 23:59:00+00:00 0.0208 9.806380e+01 0.0208 \n", - "2015-03-03 23:59:00+00:00 0.0212 4.429831e+02 0.0212 \n", - "2015-03-04 23:59:00+00:00 0.0212 2.458890e+02 0.0212 \n", - "2015-03-05 23:59:00+00:00 0.0211 1.174407e+02 0.0211 \n", - "2015-03-06 23:59:00+00:00 0.0224 8.419795e+01 0.0224 \n", - "2015-03-07 23:59:00+00:00 0.0224 1.819948e-01 0.0224 \n", - "2015-03-08 23:59:00+00:00 0.0224 3.090035e+01 0.0224 \n", - "2015-03-09 23:59:00+00:00 0.0220 1.283670e+02 0.0220 \n", - "2015-03-10 23:59:00+00:00 0.0214 5.496176e+01 0.0214 \n", - "2015-03-11 23:59:00+00:00 0.0211 4.251194e+01 0.0211 \n", - "2015-03-12 23:59:00+00:00 0.0210 2.909892e+00 0.0210 \n", - "2015-03-13 23:59:00+00:00 0.0213 5.761316e+01 0.0213 \n", - "2015-03-14 23:59:00+00:00 0.0213 4.831006e+01 0.0213 \n", - "2015-03-15 23:59:00+00:00 0.0213 2.945411e+01 0.0213 \n", - "2015-03-16 23:59:00+00:00 0.0210 2.556469e+01 0.0210 \n", - "2015-03-17 23:59:00+00:00 0.0206 9.033750e-03 0.0206 \n", - "2015-03-18 23:59:00+00:00 0.0193 1.649113e+02 0.0193 \n", - "2015-03-19 23:59:00+00:00 0.0198 7.139042e+02 0.0198 \n", - "2015-03-20 23:59:00+00:00 0.0193 1.327258e+02 0.0193 \n", - "2015-03-21 23:59:00+00:00 0.0193 2.011551e+02 0.0193 \n", - "2015-03-22 23:59:00+00:00 0.0193 6.437845e+01 0.0193 \n", - "2015-03-23 23:59:00+00:00 0.0192 6.185039e+01 0.0192 \n", - "2015-03-24 23:59:00+00:00 0.0188 4.901803e+02 0.0188 \n", - "2015-03-25 23:59:00+00:00 0.0193 9.086237e+01 0.0193 \n", - "2015-03-26 23:59:00+00:00 0.0201 2.299378e+00 0.0201 \n", - "2015-03-27 23:59:00+00:00 0.0195 6.635365e-01 0.0195 \n", - "2015-03-28 23:59:00+00:00 0.0195 7.061529e+00 0.0195 \n", - "2015-03-29 23:59:00+00:00 0.0195 8.526549e+00 0.0195 \n", - "2015-03-30 23:59:00+00:00 0.0196 2.965462e+01 0.0196 \n", + "2015-03-01 23:59:00+00:00 0.0200 47597.424668 0.0200 \n", + "2015-03-02 23:59:00+00:00 0.0208 67168.440498 0.0208 \n", + "2015-03-03 23:59:00+00:00 0.0212 81226.398297 0.0212 \n", + "2015-03-04 23:59:00+00:00 0.0212 71521.587766 0.0212 \n", + "2015-03-05 23:59:00+00:00 0.0211 66108.884634 0.0211 \n", + "2015-03-06 23:59:00+00:00 0.0224 40276.571970 0.0224 \n", + "2015-03-07 23:59:00+00:00 0.0224 22856.945604 0.0224 \n", + "2015-03-08 23:59:00+00:00 0.0224 13853.794890 0.0224 \n", + "2015-03-09 23:59:00+00:00 0.0220 62908.377680 0.0220 \n", + "2015-03-10 23:59:00+00:00 0.0214 67389.782195 0.0214 \n", + "2015-03-11 23:59:00+00:00 0.0211 25811.471790 0.0211 \n", + "2015-03-12 23:59:00+00:00 0.0210 27275.117559 0.0210 \n", + "2015-03-13 23:59:00+00:00 0.0213 46670.674822 0.0213 \n", + "2015-03-14 23:59:00+00:00 0.0213 23011.197461 0.0213 \n", + "2015-03-15 23:59:00+00:00 0.0213 13427.567949 0.0213 \n", + "2015-03-16 23:59:00+00:00 0.0210 22313.424619 0.0210 \n", + "2015-03-17 23:59:00+00:00 0.0206 22235.369855 0.0206 \n", + "2015-03-18 23:59:00+00:00 0.0193 89923.415728 0.0193 \n", + "2015-03-19 23:59:00+00:00 0.0198 78451.537176 0.0198 \n", + "2015-03-20 23:59:00+00:00 0.0193 16197.477968 0.0193 \n", + "2015-03-21 23:59:00+00:00 0.0193 15082.649219 0.0193 \n", + "2015-03-22 23:59:00+00:00 0.0193 18263.490755 0.0193 \n", + "2015-03-23 23:59:00+00:00 0.0192 23532.384930 0.0192 \n", + "2015-03-24 23:59:00+00:00 0.0188 64117.869871 0.0188 \n", + "2015-03-25 23:59:00+00:00 0.0193 53254.531782 0.0193 \n", + "2015-03-26 23:59:00+00:00 0.0201 33260.968413 0.0201 \n", + "2015-03-27 23:59:00+00:00 0.0195 22731.111936 0.0195 \n", + "2015-03-28 23:59:00+00:00 0.0195 17724.687732 0.0195 \n", + "2015-03-29 23:59:00+00:00 0.0195 31825.768349 0.0195 \n", + "2015-03-30 23:59:00+00:00 0.0196 30725.359920 0.0196 \n", "... ... ... ... \n", - "2017-05-30 23:59:00+00:00 0.0221 4.015796e+07 0.0221 \n", - "2017-05-31 23:59:00+00:00 0.0221 3.230641e+07 0.0221 \n", - "2017-06-01 23:59:00+00:00 0.0221 4.094488e+07 0.0221 \n", - "2017-06-02 23:59:00+00:00 0.0215 2.236456e+07 0.0215 \n", - "2017-06-03 23:59:00+00:00 0.0215 2.368728e+07 0.0215 \n", - "2017-06-04 23:59:00+00:00 0.0215 2.133202e+07 0.0215 \n", - "2017-06-05 23:59:00+00:00 0.0218 2.237223e+07 0.0218 \n", - "2017-06-06 23:59:00+00:00 0.0214 8.192318e+07 0.0214 \n", - "2017-06-07 23:59:00+00:00 0.0218 4.907043e+07 0.0218 \n", - "2017-06-08 23:59:00+00:00 0.0219 3.401341e+07 0.0219 \n", - "2017-06-09 23:59:00+00:00 0.0221 2.527543e+07 0.0221 \n", - "2017-06-10 23:59:00+00:00 0.0221 3.062079e+07 0.0221 \n", - "2017-06-11 23:59:00+00:00 0.0221 3.083068e+07 0.0221 \n", - "2017-06-12 23:59:00+00:00 0.0221 8.870471e+07 0.0221 \n", - "2017-06-13 23:59:00+00:00 0.0221 4.225130e+07 0.0221 \n", - "2017-06-14 23:59:00+00:00 0.0215 6.318309e+07 0.0215 \n", - "2017-06-15 23:59:00+00:00 0.0216 1.046775e+08 0.0216 \n", - "2017-06-16 23:59:00+00:00 0.0216 4.347997e+07 0.0216 \n", - "2017-06-17 23:59:00+00:00 0.0216 3.680092e+07 0.0216 \n", - "2017-06-18 23:59:00+00:00 0.0216 4.641176e+07 0.0216 \n", - "2017-06-19 23:59:00+00:00 0.0219 2.829441e+07 0.0219 \n", - "2017-06-20 23:59:00+00:00 0.0216 3.690385e+07 0.0216 \n", - "2017-06-21 23:59:00+00:00 0.0216 4.381566e+07 0.0216 \n", - "2017-06-22 23:59:00+00:00 0.0215 2.230465e+07 0.0215 \n", - "2017-06-23 23:59:00+00:00 0.0215 1.309023e+07 0.0215 \n", - "2017-06-24 23:59:00+00:00 0.0215 3.408856e+07 0.0215 \n", - "2017-06-25 23:59:00+00:00 0.0215 4.156020e+07 0.0215 \n", - "2017-06-26 23:59:00+00:00 0.0214 7.384048e+07 0.0214 \n", - "2017-06-27 23:59:00+00:00 0.0221 6.242632e+07 0.0221 \n", - "2017-06-28 23:59:00+00:00 0.0221 3.967684e+07 0.0221 \n", + "2017-05-30 23:59:00+00:00 0.0221 21448.633495 0.0221 \n", + "2017-05-31 23:59:00+00:00 0.0221 21235.805383 0.0221 \n", + "2017-06-01 23:59:00+00:00 0.0221 18959.512934 0.0221 \n", + "2017-06-02 23:59:00+00:00 0.0215 12549.643232 0.0215 \n", + "2017-06-03 23:59:00+00:00 0.0215 10767.981906 0.0215 \n", + "2017-06-04 23:59:00+00:00 0.0215 11880.383420 0.0215 \n", + "2017-06-05 23:59:00+00:00 0.0218 15390.903185 0.0218 \n", + "2017-06-06 23:59:00+00:00 0.0214 42687.668790 0.0214 \n", + "2017-06-07 23:59:00+00:00 0.0218 22094.398527 0.0218 \n", + "2017-06-08 23:59:00+00:00 0.0219 16977.816089 0.0219 \n", + "2017-06-09 23:59:00+00:00 0.0221 9521.116767 0.0221 \n", + "2017-06-10 23:59:00+00:00 0.0221 16167.315725 0.0221 \n", + "2017-06-11 23:59:00+00:00 0.0221 19034.136815 0.0221 \n", + "2017-06-12 23:59:00+00:00 0.0221 48340.947688 0.0221 \n", + "2017-06-13 23:59:00+00:00 0.0221 23172.058884 0.0221 \n", + "2017-06-14 23:59:00+00:00 0.0215 34717.773840 0.0215 \n", + "2017-06-15 23:59:00+00:00 0.0216 55839.127994 0.0216 \n", + "2017-06-16 23:59:00+00:00 0.0216 22402.387929 0.0216 \n", + "2017-06-17 23:59:00+00:00 0.0216 16637.617543 0.0216 \n", + "2017-06-18 23:59:00+00:00 0.0216 19988.156662 0.0216 \n", + "2017-06-19 23:59:00+00:00 0.0219 13719.302504 0.0219 \n", + "2017-06-20 23:59:00+00:00 0.0216 20548.879169 0.0216 \n", + "2017-06-21 23:59:00+00:00 0.0216 24534.642260 0.0216 \n", + "2017-06-22 23:59:00+00:00 0.0215 15181.549108 0.0215 \n", + "2017-06-23 23:59:00+00:00 0.0215 8139.412746 0.0215 \n", + "2017-06-24 23:59:00+00:00 0.0215 16770.845452 0.0215 \n", + "2017-06-25 23:59:00+00:00 0.0215 18137.882004 0.0215 \n", + "2017-06-26 23:59:00+00:00 0.0214 36367.695758 0.0214 \n", + "2017-06-27 23:59:00+00:00 0.0221 33486.182337 0.0221 \n", + "2017-06-28 23:59:00+00:00 0.0221 21827.313647 0.0221 \n", "\n", " algorithm benchmark \n", "2015-03-01 23:59:00+00:00 0.000000 0.000000 \n", - "2015-03-02 23:59:00+00:00 -0.017702 0.003984 \n", - "2015-03-03 23:59:00+00:00 0.030808 0.064622 \n", - "2015-03-04 23:59:00+00:00 0.071541 0.115538 \n", - "2015-03-05 23:59:00+00:00 -0.001765 0.023905 \n", - "2015-03-06 23:59:00+00:00 0.017358 0.047809 \n", - "2015-03-07 23:59:00+00:00 0.007796 0.035857 \n", - "2015-03-08 23:59:00+00:00 0.007796 0.035857 \n", - "2015-03-09 23:59:00+00:00 0.020545 0.051793 \n", - "2015-03-10 23:59:00+00:00 0.106601 0.159363 \n", - "2015-03-11 23:59:00+00:00 0.058792 0.099602 \n", - "2015-03-12 23:59:00+00:00 0.058792 0.099602 \n", - "2015-03-13 23:59:00+00:00 0.055955 0.096056 \n", - "2015-03-14 23:59:00+00:00 0.055923 0.096016 \n", - "2015-03-15 23:59:00+00:00 0.068698 0.111984 \n", - "2015-03-16 23:59:00+00:00 0.055923 0.096016 \n", - "2015-03-17 23:59:00+00:00 0.055605 0.095618 \n", - "2015-03-18 23:59:00+00:00 0.030138 0.063785 \n", - "2015-03-19 23:59:00+00:00 0.023242 0.055165 \n", - "2015-03-20 23:59:00+00:00 0.019145 0.050043 \n", - "2015-03-21 23:59:00+00:00 -0.004514 0.020470 \n", - "2015-03-22 23:59:00+00:00 0.031754 0.065804 \n", - "2015-03-23 23:59:00+00:00 0.009942 0.038540 \n", - "2015-03-24 23:59:00+00:00 -0.047900 -0.033763 \n", - "2015-03-25 23:59:00+00:00 -0.032123 -0.014042 \n", - "2015-03-26 23:59:00+00:00 -0.047900 -0.033763 \n", - "2015-03-27 23:59:00+00:00 -0.013391 0.009373 \n", - "2015-03-28 23:59:00+00:00 0.004228 0.031397 \n", - "2015-03-29 23:59:00+00:00 -0.030549 -0.012074 \n", - "2015-03-30 23:59:00+00:00 -0.010203 0.013358 \n", + "2015-03-02 23:59:00+00:00 -0.002199 0.071713 \n", + "2015-03-03 23:59:00+00:00 0.017130 0.064622 \n", + "2015-03-04 23:59:00+00:00 -0.014638 0.115538 \n", + "2015-03-05 23:59:00+00:00 -0.001346 0.023905 \n", + "2015-03-06 23:59:00+00:00 -0.014547 0.035857 \n", + "2015-03-07 23:59:00+00:00 -0.003541 0.035857 \n", + "2015-03-08 23:59:00+00:00 -0.007748 0.035857 \n", + "2015-03-09 23:59:00+00:00 0.039234 0.051793 \n", + "2015-03-10 23:59:00+00:00 0.044173 0.159363 \n", + "2015-03-11 23:59:00+00:00 0.056307 0.099602 \n", + "2015-03-12 23:59:00+00:00 0.053106 0.099602 \n", + "2015-03-13 23:59:00+00:00 0.015392 0.096056 \n", + "2015-03-14 23:59:00+00:00 0.013624 0.096016 \n", + "2015-03-15 23:59:00+00:00 0.026734 0.123936 \n", + "2015-03-16 23:59:00+00:00 0.039904 0.095618 \n", + "2015-03-17 23:59:00+00:00 0.021703 0.095618 \n", + "2015-03-18 23:59:00+00:00 -0.063785 0.044183 \n", + "2015-03-19 23:59:00+00:00 -0.049242 0.055165 \n", + "2015-03-20 23:59:00+00:00 -0.048602 0.050043 \n", + "2015-03-21 23:59:00+00:00 -0.053846 0.048578 \n", + "2015-03-22 23:59:00+00:00 -0.028388 0.065804 \n", + "2015-03-23 23:59:00+00:00 -0.033236 0.038540 \n", + "2015-03-24 23:59:00+00:00 -0.097961 -0.033763 \n", + "2015-03-25 23:59:00+00:00 -0.097077 -0.014042 \n", + "2015-03-26 23:59:00+00:00 -0.087809 -0.033763 \n", + "2015-03-27 23:59:00+00:00 -0.096437 0.009373 \n", + "2015-03-28 23:59:00+00:00 -0.076772 -0.009050 \n", + "2015-03-29 23:59:00+00:00 -0.107900 -0.012074 \n", + "2015-03-30 23:59:00+00:00 -0.092077 0.013358 \n", "... ... ... \n", - "2017-05-30 23:59:00+00:00 5.999828 7.525896 \n", - "2017-05-31 23:59:00+00:00 6.181501 7.752988 \n", - "2017-06-01 23:59:00+00:00 6.556307 8.221495 \n", - "2017-06-02 23:59:00+00:00 6.854011 8.593625 \n", - "2017-06-03 23:59:00+00:00 7.004771 8.782075 \n", - "2017-06-04 23:59:00+00:00 7.094808 8.894622 \n", - "2017-06-05 23:59:00+00:00 7.578653 9.499428 \n", - "2017-06-06 23:59:00+00:00 8.250027 10.338645 \n", - "2017-06-07 23:59:00+00:00 7.610997 9.539858 \n", - "2017-06-08 23:59:00+00:00 8.065166 10.107570 \n", - "2017-06-09 23:59:00+00:00 8.154727 10.219521 \n", - "2017-06-10 23:59:00+00:00 8.141087 10.202471 \n", - "2017-06-11 23:59:00+00:00 8.540385 10.701594 \n", - "2017-06-12 23:59:00+00:00 7.373693 9.243228 \n", - "2017-06-13 23:59:00+00:00 7.710663 9.664441 \n", - "2017-06-14 23:59:00+00:00 6.786380 8.509086 \n", - "2017-06-15 23:59:00+00:00 6.745593 8.458103 \n", - "2017-06-16 23:59:00+00:00 6.940067 8.701195 \n", - "2017-06-17 23:59:00+00:00 7.488745 9.387043 \n", - "2017-06-18 23:59:00+00:00 7.122696 8.929482 \n", - "2017-06-19 23:59:00+00:00 7.411930 9.291024 \n", - "2017-06-20 23:59:00+00:00 7.682696 9.629482 \n", - "2017-06-21 23:59:00+00:00 7.529708 9.438247 \n", - "2017-06-22 23:59:00+00:00 7.699832 9.650902 \n", - "2017-06-23 23:59:00+00:00 7.689071 9.637450 \n", - "2017-06-24 23:59:00+00:00 7.158336 8.974032 \n", - "2017-06-25 23:59:00+00:00 7.083182 8.880089 \n", - "2017-06-26 23:59:00+00:00 6.813497 8.542984 \n", - "2017-06-27 23:59:00+00:00 7.179111 9.000000 \n", - "2017-06-28 23:59:00+00:00 7.188672 9.000000 \n", + "2017-05-30 23:59:00+00:00 5.696856 7.525896 \n", + "2017-05-31 23:59:00+00:00 5.834356 7.752988 \n", + "2017-06-01 23:59:00+00:00 6.200819 8.221495 \n", + "2017-06-02 23:59:00+00:00 6.487100 8.593625 \n", + "2017-06-03 23:59:00+00:00 6.655087 8.782075 \n", + "2017-06-04 23:59:00+00:00 6.738014 8.894622 \n", + "2017-06-05 23:59:00+00:00 7.191368 9.499428 \n", + "2017-06-06 23:59:00+00:00 7.824600 10.338645 \n", + "2017-06-07 23:59:00+00:00 7.213014 9.539858 \n", + "2017-06-08 23:59:00+00:00 7.632222 10.107570 \n", + "2017-06-09 23:59:00+00:00 7.716063 10.219521 \n", + "2017-06-10 23:59:00+00:00 7.706917 10.202471 \n", + "2017-06-11 23:59:00+00:00 8.120941 10.701594 \n", + "2017-06-12 23:59:00+00:00 6.986185 9.243228 \n", + "2017-06-13 23:59:00+00:00 7.313929 9.664441 \n", + "2017-06-14 23:59:00+00:00 6.451734 8.509086 \n", + "2017-06-15 23:59:00+00:00 6.400514 8.460040 \n", + "2017-06-16 23:59:00+00:00 6.583441 8.701195 \n", + "2017-06-17 23:59:00+00:00 7.109661 9.387043 \n", + "2017-06-18 23:59:00+00:00 6.747770 8.929482 \n", + "2017-06-19 23:59:00+00:00 7.023990 9.291024 \n", + "2017-06-20 23:59:00+00:00 7.427953 9.629482 \n", + "2017-06-21 23:59:00+00:00 7.153258 9.438247 \n", + "2017-06-22 23:59:00+00:00 7.300819 9.650902 \n", + "2017-06-23 23:59:00+00:00 7.307222 9.637450 \n", + "2017-06-24 23:59:00+00:00 6.781917 8.974032 \n", + "2017-06-25 23:59:00+00:00 6.723075 8.887696 \n", + "2017-06-26 23:59:00+00:00 6.449600 8.542984 \n", + "2017-06-27 23:59:00+00:00 6.838624 9.000000 \n", + "2017-06-28 23:59:00+00:00 6.829478 9.000000 \n", "\n", "[851 rows x 45 columns]" ] }, - "execution_count": 3, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -2164,7 +2111,7 @@ ")\n", "\n", "def initialize(context):\n", - " context.ASSET_NAME = 'btc_usdt'\n", + " context.ASSET_NAME = 'btc_usd'\n", " context.TARGET_HODL_RATIO = 0.8\n", " context.RESERVE_RATIO = 1.0 - context.TARGET_HODL_RATIO\n", "\n", @@ -2205,7 +2152,6 @@ " context.asset,\n", " target_hodl_value,\n", " limit_price=price*1.1,\n", - " stop_price=price*0.9,\n", " )\n", "\n", " record(\n", diff --git a/docs/source/beginner-tutorial.rst b/docs/source/beginner-tutorial.rst index 2b34bba1..12792ca4 100644 --- a/docs/source/beginner-tutorial.rst +++ b/docs/source/beginner-tutorial.rst @@ -928,7 +928,6 @@ functions. context.asset, target_hodl_value, limit_price=price*1.1, - stop_price=price*0.9, ) record( diff --git a/docs/source/example-algos.rst b/docs/source/example-algos.rst index ff5d5ea7..217acf06 100644 --- a/docs/source/example-algos.rst +++ b/docs/source/example-algos.rst @@ -184,7 +184,6 @@ one day prior to the current date. context.asset, target_hodl_value, limit_price=price * 1.1, - stop_price=price * 0.9, ) record( From 024342ce12b42eab156ae56784981349a36e5967 Mon Sep 17 00:00:00 2001 From: Victor Grau Serrat Date: Tue, 12 Dec 2017 16:56:29 -0700 Subject: [PATCH 5/5] BUG: fix of bug from commit ce085e01ecb92375dd14ce552644280f2792f738 --- catalyst/curate/poloniex.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/catalyst/curate/poloniex.py b/catalyst/curate/poloniex.py index d09afcc6..824b5e58 100644 --- a/catalyst/curate/poloniex.py +++ b/catalyst/curate/poloniex.py @@ -261,7 +261,7 @@ class PoloniexCurator(object): vol = df['total'].to_frame('volume') # set Vol aside df.drop('total', axis=1, inplace=True) # Drop volume data ohlc = df.resample('T').ohlc() # Resample OHLC 1min - ohlc.cols = ohlc.cols.map(lambda t: t[1]) # Raname cols + ohlc.columns = ohlc.columns.map(lambda t: t[1]) # Rename cols closes = ohlc['close'].fillna(method='pad') # Pad fwd missing close ohlc = ohlc.apply(lambda x: x.fillna(closes)) # Fill NA w/ last close vol = vol.resample('T').sum().fillna(0) # Add volumes by bin