Redditcoin combines the data from Reddit and Bitcoin price to derive relevant information and analize
This project is built to accommodate needs of ***.
Users can
The Reddit data was optained using the Python script that uses PRAW. Check the requirements.txt to see the dependancies.
The initial data coming in from Reddit is formatted as follows.
[
{
"kind": "Listing",
"data": {
"after": null,
"whitelist_status": "all_ads",
"modhash": "",
"dist": 1,
"children": [
{
"kind": "t3",
"data": {
"domain": "self.BitcoinMarkets",
"approved_at_utc": null,
"mod_reason_by": null,
"banned_by": null,
"media_embed": {},
"subreddit": "BitcoinMarkets",
"selftext_html": "<!-- SC_OFF --><div class=\"md\"><p>I am interested in historic data for certain currency pairs and crypto exchanges for backtesting of strategies and profit calculations. \nTradingview provides provides charts and technical analysis for quite a few pairs and exchanges. I therefore would be interested to extract the historic data per candle (Open, High, Low, Close) on minute time frame.</p>\n\n<p>Has anyone already found a way to do this?\nAny python script available to get started?</p>\n</div><!-- SC_ON -->",
"selftext": "I am interested in historic data for certain currency pairs and crypto exchanges for backtesting of strategies and profit calculations. \nTradingview provides provides charts and technical analysis for quite a few pairs and exchanges. I therefore would be interested to extract the historic data per candle (Open, High, Low, Close) on minute time frame.\n\nHas anyone already found a way to do this?\nAny python script available to get started?",
"likes": null,
"suggested_sort": null,
"mod_note": null,
"user_reports": [],
"secure_media": null,
"is_reddit_media_domain": false,
"saved": false,
"id": "7tzvom",
"banned_at_utc": null,
"mod_reason_title": null,
"view_count": null,
"archived": false,
"clicked": false,
"report_reasons": null,
"author": "windoak",
"num_crossposts": 0,
"link_flair_text": null,
"can_mod_post": false,
"is_crosspostable": false,
"pinned": false,
"score": 6,
"approved_by": null,
"over_18": false,
"hidden": false,
"num_comments": 1,
"thumbnail": "",
"subreddit_id": "t5_2wwh3",
"hide_score": false,
"author_cakeday": true,
"edited": false,
"link_flair_css_class": null,
"author_flair_css_class": null,
"contest_mode": false,
"gilded": 0,
"locked": false,
"downs": 0,
"brand_safe": true,
"secure_media_embed": {},
"removal_reason": null,
"can_gild": false,
"is_self": true,
"parent_whitelist_status": "all_ads",
"name": "t3_7tzvom",
"spoiler": false,
"permalink": "/r/BitcoinMarkets/comments/7tzvom/how_to_extract_historic_data_from_tradingview/",
"subreddit_type": "public",
"whitelist_status": "all_ads",
"stickied": false,
"created": 1517333362,
"url": "https://www.reddit.com/r/BitcoinMarkets/comments/7tzvom/how_to_extract_historic_data_from_tradingview/",
"author_flair_text": null,
"quarantine": false,
"title": "How to extract historic data from tradingview?",
"created_utc": 1517304562,
"subreddit_name_prefixed": "r/BitcoinMarkets",
"distinguished": null,
"media": null,
"upvote_ratio": 0.87,
"mod_reports": [],
"visited": false,
"num_reports": null,
"is_video": false,
"ups": 6
}
}
],
"before": null
}
}
]
Python, JavaScript, HTML, CSS
Flask, React, Bootstrap
server runs on python3 alias python=python3 will make it work also use pip3 install requirements.txt
In terminal window in the folder downloaded, run the following command
source roster_bash.sh
Copy the entire paragraph of the following inside the forked folder to run the web app
virtualenv env; source env/bin/activate; dropdb intranet; createdb intranet; pip install -r requirements.txt; echo export secret_key='abc' > secret.sh; source secret.sh; open 'http://localhost:5000'; python server.py;
The MIT License (MIT) Copyright (c) 2017 Soo Park
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.