Trading-Algorithms
Unverified ML strategy on Multi by brookswoolf. BotFinder score 18 out of 100.
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Source: github
BotFinder analysis pending.
Trading-Algorithms
Trading Algorithms This repository contains the customized trading algorithms that I have created using the Quantopian IDE: Go to Quantopian and copy/paste any of the algorithms to test! Enjoy! ^^ The Multi-Factor Model This is the project that I dedicated myself to creating once I learned how to use Python to implement a trading model based on traditional financial theories. Factor investing is the idea of creating a portfolio that is weighted based on favorable factors such as quality, growth, value, momentum, and size (to name a few). A lot of research has been done and published regarding the concept of factor investing, so I thought to use my skills to develop a model that can be easily implemented and altered. When creating anything like this, I am sure to make it not only very user accessible, but also organized and visually aesthetic. As a note, the driving factor and strategy of this algorithm was researched before being backtested in the IDE. This algorithm was heavily influenced by my research in the below notebook: "Quality Score - Extracting 'Quality' From Your Pipeline"
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)