
Reddit
X (Twitter)
Facebook
YouTube
Google
Quora
Instagram
Hacker News
TraderSync
TradesViz
Stonk Journal
Traders Journal App
Trademetria
TradingView
TradeReplay
Supertrader
Reddit
TraderSynci like reddit very much
Based on our record, Reddit seems to be a lot more popular than TraderSync. While we know about 3301 links to Reddit, we've tracked only 2 mentions of TraderSync. 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 / 4 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 can also personally recommend learning about key levels, order blocks, volume spread analysis (vsa), and volume weighted average price (vwap), and logging your trades in https://tradersync.com/. Source: over 2 years ago
I can highly recommend using https://tradersync.com/. Source: over 2 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.
TradesViz - An online trade logging platform that does it all! Logging, charting, sharing, trade management, risk analysis and many more! The best trading journal to find and visualize your trading edge.
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
Stonk Journal - Free trading journal with an AI coach that reviews your trades and helps you improve.
YouTube - Our mission is to give everyone a voice and show them the world.
Traders Journal App - Turn trades into insights. Insights into Profit.