Jack Simonson
86 lines
2.3 KiB
Plaintext
86 lines
2.3 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"## Welcome to The QuantConnect Research Page\n",
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"#### Refer to this page for documentation https://www.quantconnect.com/docs#Introduction-to-Jupyter\n",
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"#### Contribute to this template file https://github.com/QuantConnect/Lean/blob/master/Jupyter/BasicCSharpQuantBookTemplate.ipynb"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## QuantBook Basics\n",
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"\n",
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"### Start QuantBook\n",
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"- Load \"QuantConnect.csx\" with all the basic imports\n",
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"- Create a QuantBook instance"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"#load \"QuantConnect.csx\"\n",
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"using QuantConnect.Data.Custom;\n",
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"using QuantConnect.Data.Market;\n",
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"var qb = new QuantBook();\n",
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"\n",
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"#Selecting asset data\n",
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"var spy = qb.AddEquity(\"SPY\");\n",
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"var eur = qb.AddForex(\"EURUSD\");\n",
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"var btc = qb.AddCrypto(\"BTCUSD\");\n",
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"var fxv = qb.AddData<FxcmVolume>(\"EURUSD_Vol\", Resolution.Hour);"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Historical Data Requests\n",
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"\n",
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"We can use the QuantConnect API to make Historical Data Requests. The data will be presented as multi-index pandas.DataFrame where the first index is the Symbol.\n",
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"\n",
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"For more information, please follow the [link](https://www.quantconnect.com/docs#Historical-Data-Historical-Data-Requests)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"// Gets historical data from the subscribed assets, the last 360 datapoints with daily resolution\n",
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"var h1 = qb.History(qb.Securities.Keys, 360, Resolution.Daily);"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "C#",
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"language": "csharp",
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"name": "csharp"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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"file_extension": ".py",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.4"
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}
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"nbformat": 4,
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"nbformat_minor": 2
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