ML PPO Bots, Hidden Gem Indicators, and Everything In Between
Hey everyone —
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This will be a log of my journey working on and implementing this bot. Trading NASDAQ futures.
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I'm starting this thread as a place to talk about ML-powered trading bots, specifically ones trained with PPO (Proximal Policy Optimization). I’ve been building and testing bots that use machine learning to learn from price/volume behavior and actually trade like they’ve got a brain — not just follow basic signals.
This is for anyone who's into:
Reinforcement learning (PPO, DQN, A2C, etc.)
Custom indicator ideas — especially ones that aren’t already used by everyone
Strategy creation for Forex, Futures, Crypto — wherever edge matters
Figuring out what features actually matter in a model
Forward testing, walk-forward validation, live deployment... the real stuff
I’m open-sourcing what I can, learning as I go, and hoping this becomes a spot for idea sharing, weird experiments, and maybe even building something great together who knows.
Whether you’re coding bots, trading manually, testing indicators, or just curious how this all works — you’re welcome to jump in. Share your setups, ask questions, post screenshots, vent, brainstorm — whatever.
Thanks chat gpt for the awesome intro.
Anyways I'm starting this thread as it's a new adventure I've been into the past month. I enjoy trading, I enjoy robotics. I work a full time job programming robots at a manufacturing company. I also trade as much as possible on my phone and computer at home when I have the chance.
Designing these bots at FIRST was me trying to create that holy grail. A super smart bot that trades for me! After a few failed attempts I've gotten better and better at setting these up, coding in python through Visual Studio. Now it's become some what of a hobbies and I truly enjoy messing around and doing it. It's so fun to me and so boring to my wife that I feel there has to be others out there that enjoy this type of stuff as much as I do.
Anyone here have the same ML itch that I do?
Hey everyone —
----------------
This will be a log of my journey working on and implementing this bot. Trading NASDAQ futures.
----------------
I'm starting this thread as a place to talk about ML-powered trading bots, specifically ones trained with PPO (Proximal Policy Optimization). I’ve been building and testing bots that use machine learning to learn from price/volume behavior and actually trade like they’ve got a brain — not just follow basic signals.
This is for anyone who's into:
Reinforcement learning (PPO, DQN, A2C, etc.)
Custom indicator ideas — especially ones that aren’t already used by everyone
Strategy creation for Forex, Futures, Crypto — wherever edge matters
Figuring out what features actually matter in a model
Forward testing, walk-forward validation, live deployment... the real stuff
I’m open-sourcing what I can, learning as I go, and hoping this becomes a spot for idea sharing, weird experiments, and maybe even building something great together who knows.
Whether you’re coding bots, trading manually, testing indicators, or just curious how this all works — you’re welcome to jump in. Share your setups, ask questions, post screenshots, vent, brainstorm — whatever.
Thanks chat gpt for the awesome intro.
Anyways I'm starting this thread as it's a new adventure I've been into the past month. I enjoy trading, I enjoy robotics. I work a full time job programming robots at a manufacturing company. I also trade as much as possible on my phone and computer at home when I have the chance.
Designing these bots at FIRST was me trying to create that holy grail. A super smart bot that trades for me! After a few failed attempts I've gotten better and better at setting these up, coding in python through Visual Studio. Now it's become some what of a hobbies and I truly enjoy messing around and doing it. It's so fun to me and so boring to my wife that I feel there has to be others out there that enjoy this type of stuff as much as I do.
Anyone here have the same ML itch that I do?
Trying to learn how to learn how to teach a robot how to learn