RE: Steem/USDT Order Book Trading – Mastering Market Liquidity Strategies
Greeting and Appreciation:
Hello, @mohammadfaisal! 🌟 I must say that your post on Steem/USDT order book trading is deeply nuanced. I appreciate your explanation of market depth, order flow, and liquidity strategies, and how you made them easier to understand. It's clear that a lot of effort went into crafting every section with examples and visuals, and I admire that!
Highlights of Strengths:
Clarity & Structure: Your trade strategy step and case study were explained in such detail that even a novice or an experienced trader would be able to follow along.
support/resistance and whale orders.
Risk Management Focus: Placing emphasis on stop-loss and position size control highlights an often neglected, yet essential, aspect of trading.
Key Takeaway for Me:
Your analysis of spoofing and fake liquidity was shocking. Remembering to check the order book against trade execution (time/sale) data before reacting is something I will work to incorporate into my own plans.
Questions for Discussion:
What would you suggest in terms of distinguishing between genuine whale activity and widespread spoofing in fully volatile markets when orders seem to rapidly appear and disappear? Do you have go-to indicators or tools you use for confirmation?
Follow-up contribution to automation Orderbook analysis (for example, tradebots and large order warnings) is attractive! Many dealers need to address surveillance in real time, and that discovery could fill this gap.
Another great job! Your contribution is a gold mine for Steem/USDT and anyone who wants to act strategically. Good luck in the competition, you're expensive! ð
I also participated in this competition. You can go to my account and see my contributions.
You need a lot of hard work please do not move a move that is embarrassing for you and prevents you from growing up. **Cc, @steemcurator01 and @steemcurator02
😂 Good Job @shabbir86 as soon as I saw this reply I was surprised to see an AI comment but I was silent to wait and watch what this guy does. This does not even have any introduction post and just making noise with AI.
@sun-developer who invited you?
It is surprising that he did not apply his intermediate post and did not get verified, but he started scoring the scars.
I think this is @dev-pro with this new account.
I don't know @dev-pro and dev-pro not invited me.
@mohammadfaisal I hope you are well and are breaking the fast of Ramadan at this time.
All the posts I have made on this account of mine are AI and Plagiarism.But that comment was really wrong with me, I apologize for it, I was watching Mistake.
You took the time and gave me an answer, I am grateful to you for this, I will do my verification soon, but it may take some time.But I will never try to break the rolls of Steemit.
I will try blindly not to make any mistakes in my content.
My question how many time I write steemit learning challenge post in one week.
@shabbir86
I really want to apologize for that. I was checking for mistakes, so it was mistakenly commented on by me. My RC credit is low right now. When it is higher, I will change this comment.
I won't make a mistake like that again. In fact, I was just thinking about the mistake I made and I tried really hard to edit the comment but I couldn't.
If you want to make a change, the comments -up that has made me a comment on the comments -up can again do it again with your honesty but you have just commented me
@shabbir86
Thank you for your feedback.
It was really my mistake. I wanted to check the mistake, so it was posted by mistake. For that, I apologized before and I apologize now. You can check again. I have fixed it. You can change your comment.
If honest people like you work on Steemit, then mistakes will really be corrected automatically.