Welcome to NexusFi: the best trading community on the planet, with over 150,000 members Sign Up Now for Free
Genuine reviews from real traders, not fake reviews from stealth vendors
Quality education from leading professional traders
We are a friendly, helpful, and positive community
We do not tolerate rude behavior, trolling, or vendors advertising in posts
We are here to help, just let us know what you need
You'll need to register in order to view the content of the threads and start contributing to our community. It's free for basic access, or support us by becoming an Elite Member -- see if you qualify for a discount below.
-- Big Mike, Site Administrator
(If you already have an account, login at the top of the page)
Do you have more trading experience than average on BMT?
If you consider the fellow members on futures.io (formerly BMT), would you say you have more, less, or the same experience as the average futures.io (formerly BMT) member?
Compared with the rest of BMT members, you have...
I'm still severely lacking in knowledge in trading. I can't even say that I've made a profit in terms of cash but I think I've gained in terms of knowledge so far. I also know that I have a lot of work to do in the psychological department.
On futures.io (formerly BMT) I figure I am doing pretty good for myself. But I also understand that I am not the smartest person in the game. I am working to try not to compare myself or trading to someone else.
When I read threads such as Spoonalysis and NQnalysis and more, It is obvious that there are traders here that know the game and have many years of experience. Plus I have noticed a lot of code writers and algo programmers here. And throw in the vendors Like F71 and D toast Matt and Kev who are kind enough to take the time to answer questions it is just obvious that I am a spring chicken. The way I discovered trading is kind of crazy but I'll save that story for anther time and thread as I tend to ramble and don't want to take too much space. I am still just learning how to mange my emotions and my trades. I feel like I have a good plan but I never seem to follow it. The journey has been rewarding though, as I really get a sense of fulfillment from researching markets and trading the little bit that I have. This forum, makes me feel like I am not alone ,and definatly offers me personl insights that I could not get in a book.
"Napoleans severest comment on his beaten enemies - that they "saw to many things at once""- Hart
Right now there are more people who say more than average in the poll than average or below. I did also say more than average but I mostly go into the algorithmic and R/Python/Matlab areas where there is much less activity. But I could also be suffering from the common over estimation of ones abilities. Which most people do, I believe there is a TED on it or something.
Now why do I believe that I have more than average? Well I have pretty much tried both sides of the coin discretionary trading, algorithmic trading and a hybrid of the two. I guess thats three sides of a coin.
All with my own real capital behind it, no sim trading BS. I have done some extensive public journaling in the past. Customized and built my own backtester, monte carlo simulator, and pricing models using R and Python. Also for personal edificiation have taken financial engineering, data science, and risk management courses at the post graduate level for fun.
Sounds like I am being pretty cocky, but I think the real reason is this. I found my path. I know that algorithmic trading, and quantitative based research are the tools I am comfortable with to discover my edges. I am comfortable creating and using my toolset customized for my own needs. I am not searching out anyone elses answers any more. I know what works and what doesnt specifically for what I want to do. My development process is concrete and my research is done in a scientific method that is repeatable by anyone. Not that I am specifically sharing that information, but it is recorded as any other scientific paper is identifying the specific data and methods used to come up with the results as if they were going to be published on SSRN.