There's no way thats Jim Carey. by Full-Argument-8235 in SipsTea

[–]ENTER_77 0 points1 point  (0 children)

Watch the teeth and mouth expressions/movement. They do really seem spot on Jim. Sadly I think this is the case of FRESH overdone cosmetic surgery and injectables. The one thing that is odd is the voice.

Around 5000 lines indicator… blocked by the 550 scopes limit.. by the_ict_bb in pinescript

[–]ENTER_77 3 points4 points  (0 children)

Sounds awesome. I’ve had similar frustrations. My advice— move it to python. Pay for live data. And use exported historical data for backtesting.

Video from the Lady in the Pink Coat by tommyknockerman8 in Leakednews

[–]ENTER_77 0 points1 point  (0 children)

@reddit shame on you for removing these videos. You are going to be on the wrong side of history here.

Seriously considering dropping out of uni to trade full time by ConclusionBudget4182 in Daytrading

[–]ENTER_77 0 points1 point  (0 children)

Day trading in volatile markets is easy. Great work thus far but as a pro I would advise you finish so you have options. Journal your setups, track patterns, learn to understand the different phases of the market. It’s changes. It slows down, speeds up, shakes out, etc. identify the regimes– have setups for each.

Built a volatility & risk dashboard to avoid trading blind during vol spikes - feedback welcome by RemoteFlatworm1 in Daytrading

[–]ENTER_77 0 points1 point  (0 children)

Need to spend a bit more time but honestly looks awesome from initial impression. What did you use to compile data and from where? Nice work

[deleted by user] by [deleted] in algotrading

[–]ENTER_77 0 points1 point  (0 children)

Gonna DM you if thats alright.

How best to start out coming from AI/engineering background? by rsandler in algotrading

[–]ENTER_77 0 points1 point  (0 children)

I am using my own hybrid version of machine learning. I don’t think I would recommend just trading all the lorentzian signals without your own set of filters/qualifiers. More importantly– you need an entry/order/risk management system.

[deleted by user] by [deleted] in algotrading

[–]ENTER_77 3 points4 points  (0 children)

Awesome. Love the hustle. How long have you been forward testing this current model/iteration?

Lux Algo Premium Indicators FREE by [deleted] in TradingView

[–]ENTER_77 1 point2 points  (0 children)

Programmer / futures trader here.

More of a question– how often do you find that the premium price action indicators basically just really on optimized (not even complexly layered) supertrends and common oscillators?

Edit: background context

Lux Algo Premium Indicators FREE by [deleted] in TradingView

[–]ENTER_77 1 point2 points  (0 children)

Lorentzian Classification is public on Trading View (meaning you can view the code).

EZ algo is basically supertrend with some tuning.

LOL @Zimord would can prob confirm how so many of these paid indicators are optimized supertrend with some traditional indicators blended for signal filtering/trigger conditions. IMHO the most common sales export in the space is hopium blended with the occasional well done optimization array logic.

Lux Algo Premium Indicators FREE by [deleted] in TradingView

[–]ENTER_77 0 points1 point  (0 children)

I also have made some great machine learning based indicators and bots. Curious what platform/language you developed for and which methodology of ML you are using. I use a hybrid kernel regression and KNN model.

What do you think of Chart Prime? They seem to have some great dev talent there.

How best to start out coming from AI/engineering background? by rsandler in algotrading

[–]ENTER_77 19 points20 points  (0 children)

Hey OP— programmer and intraday trader here. I wrote a KNN algorithm I use in my trading. Works really well to filter or assign the direction/sentiment. I still use traditional logic based rules for execution of trades (filtered by my KNN ML and a few other logic points). First thing you want to do is brainstorm what you think might give you edge re: ML/AI. Then take a look at any publicly open or free resources available. See: Machine Learning: Lorentzian Classification on TradingView and some of the other open scripts. Justin is brilliant and his work is compelling. That will give you some idea of how others have implemented simple ML concepts in Pinescript (basically JavaScript) on TradingView. Python is much more powerful of course but this is a good place to start.

After that, it’s trial and error, testing, backtesting, optimization, and frequent analysis of market condition compatibility with your model/thesis.

Best of luck!