Reddit
X (Twitter)
Facebook
YouTube
Google
Quora
Instagram
Hacker News
QuantConnect
Quantopian
Backtrader
QuantRocket
CloudQuant
TradingView
Intrinio
MetaTrader5
Reddit QuantConnecti like reddit very much
Based on our record, Reddit seems to be a lot more popular than QuantConnect. While we know about 3301 links to Reddit, we've tracked only 9 mentions of QuantConnect. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
From urllib.parse import urlparse Def normalize_gh(r): return { "title": r["name"], "url": r["url"], "source": "github", "score": r["stars_this_period"], "desc": r.get("description", ""), "date": r["trending_date"], "lang": r.get("language"), } Def normalize_hn(p): return { "title": p["title"].replace("Show HN: ", ""), "url":... - Source: dev.to / 3 months ago
@tool Def search_reddit(keywords: str, max_results: int = 20) -> list[dict]: """Fallback: search Reddit directly via PRAW.""" reddit = praw.Reddit( client_id=os.environ["REDDIT_CLIENT_ID"], client_secret=os.environ["REDDIT_CLIENT_SECRET"], user_agent="doug-agent/1.0", ) candidates = [] for submission in reddit.subreddit("all").search(keywords, sort="new",... - Source: dev.to / 2 months ago
Import requests Import time Def fetch_subreddit_posts(subreddit, sort="hot", limit=25): url = f"https://www.reddit.com/r/{subreddit}/{sort}.json" params = { "limit": limit, "raw_json": 1, # Prevents HTML encoding in responses } headers = { "User-Agent": "PythonScraper/1.0 (research project)" } response = requests.get(url, params=params, headers=headers) if... - Source: dev.to / 3 months ago
From sessionkeeper import SessionKeeper Async with SessionKeeper("reddit") as sk: page = await sk.get_authenticated_page("https://reddit.com") # You're logged in. Do your automation. await page.goto("https://reddit.com/r/blender/submit"). - Source: dev.to / 4 months ago
It's completely free, and takes just moments to set up - you just need to create an account, and set up keywords for the service to track. When your keywords are mentioned on Reddit, Hackernews, or Lobste.rs, you'll get a tidy little email in your inbox. - Source: dev.to / over 1 year ago
I use https://quantconnect.com/ to backtest new algos and discover new algos. They support C# and python. Source: over 3 years ago
Use quantconnect.com, their API forces you to use OOP there so it's a good practice. Source: almost 4 years ago
For stocks and crypto: QuantConnect and Backtrader For options: MesoSim and OptionNetExplorer. Source: almost 4 years ago
Only you can teach you how to do it. quantconnect.com has a lot of tutorials and other documentation that should be enough for you to learn from. I'm still learning the process of backtesting and I'm not aware of an "easy" way to perform this type of work. Source: about 4 years ago
Thanks for the pointer. quantconnect.com and interactive brokers. I have a little fantasy that I'll do this once I retire and hand over 1% of my nest egg to it; see how it does... Hand over some more, etc... Source: over 4 years ago
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
Quantopian - Your algorithmic investing platform
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.
YouTube - Our mission is to give everyone a voice and show them the world.
QuantRocket - QuantRocket is an all-in-one end-to-end data trading platform and is securing your connection to other trading applications that will be the key to query data and submit orders.