Python Trading Models Development
Budget: $10 – $30 USD
Note: There is plenty of room for future work, at least there is plenty of work for the future.
Let's take this one step at a time.
Trading code models. Lets shoot for eight or so. Python please. Compliant with a api model that connects to IKBR. Leave them unfinished in terms of perfection, as obviously the data, pre-filtered stocks (and their options), currencies (main, like dollar, euro), crypto (main ones, like btc, eth and relateds), and other stuffs, we import ourselves from elsewhere.
Another team I collaborate with, is weak in terms of having enough to justify claiming that they are diversified.
There must be significantly copious notes. There must not be code condensation--verbose code is fine, and honestly preferred. Don't be ridiculous, though, if there are three math operations in one line, that is fine. but don't push it.
If we see a 'lambda', project instantly fails from our their perspective. They don't understand cheats like that. Take your time. If an untrained code person cannot understand what each line does, then you have failed to communicate the idea properly. I mean no offense. There are people with significant resources here, who are willing to share in corporate trading accounts, but they demand that first that their team show significant explanatory power to each and every idea. Their investors are actively engaged, and do ask for code sometimes.
Please note, they, like my team, is watched extremely carefully. There is a supercomputer running at the funding establishment, constantly learning, constantly updating LLM analysis of copyright infringment, that is watching everything they do. If you so much as pull three lines of code from someone elses public github, or even the gist of their private repositories. IT. WILL. KNOW. If you rely on AI too much, it will know, as it has absorbed the entire inner structure of models like chat. CAUTION.
The people from that team who needs help will be seriously damaged if they make an error in this capacity. So please respect that.
Note, I have a separate project, for my own team, which is different, and has different rules.
You can use as many helpers and utils and globals and constraints as needed. define a default, but in nearby note, indicate ranges for each value, and I will have later versions brute forced for evaluation. Also, Having them ready for ML optimization is a plus. They do not all have to be done at once. Let them see what you can do with one model, and they will work towards feedback and such, before you proceed to others. Nothing stopping you from doing them all at once, I mean, it is up to you.
Let's take this one step at a time.
Trading code models. Lets shoot for eight or so. Python please. Compliant with a api model that connects to IKBR. Leave them unfinished in terms of perfection, as obviously the data, pre-filtered stocks (and their options), currencies (main, like dollar, euro), crypto (main ones, like btc, eth and relateds), and other stuffs, we import ourselves from elsewhere.
Another team I collaborate with, is weak in terms of having enough to justify claiming that they are diversified.
There must be significantly copious notes. There must not be code condensation--verbose code is fine, and honestly preferred. Don't be ridiculous, though, if there are three math operations in one line, that is fine. but don't push it.
If we see a 'lambda', project instantly fails from our their perspective. They don't understand cheats like that. Take your time. If an untrained code person cannot understand what each line does, then you have failed to communicate the idea properly. I mean no offense. There are people with significant resources here, who are willing to share in corporate trading accounts, but they demand that first that their team show significant explanatory power to each and every idea. Their investors are actively engaged, and do ask for code sometimes.
Please note, they, like my team, is watched extremely carefully. There is a supercomputer running at the funding establishment, constantly learning, constantly updating LLM analysis of copyright infringment, that is watching everything they do. If you so much as pull three lines of code from someone elses public github, or even the gist of their private repositories. IT. WILL. KNOW. If you rely on AI too much, it will know, as it has absorbed the entire inner structure of models like chat. CAUTION.
The people from that team who needs help will be seriously damaged if they make an error in this capacity. So please respect that.
Note, I have a separate project, for my own team, which is different, and has different rules.
You can use as many helpers and utils and globals and constraints as needed. define a default, but in nearby note, indicate ranges for each value, and I will have later versions brute forced for evaluation. Also, Having them ready for ML optimization is a plus. They do not all have to be done at once. Let them see what you can do with one model, and they will work towards feedback and such, before you proceed to others. Nothing stopping you from doing them all at once, I mean, it is up to you.