chameleonQuant
Unverified ML strategy on Multi by StefanoPenazzi. BotFinder score 18 out of 100.
chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optim
Source: github
BotFinder analysis pending.
chameleonQuant
chameleonQuant Mission The framework is meant to help quants developing and testing innovative algorithmic trading strategies in the financial trading sector in a completely open-source environment. It's a jungle out there! The financial market is a jungle. There are hidden gems waiting to be discovered but also ravenous beasts in the shadow waiting for your misstep. Experience, spirit of adaptation, and rock-solid hunting strategies are your true weapons to survive and thrive in the jungle. The chameleon is a master in this! It is a patient predator adapting to the surrounding environment and, when it's time to act, it is swift and deadly. Like a chameleon, you will need these skills to protect and grow your wealth in the financial market. Just like any young chameleon, you need to develop the best strategies that fit your expectations, learn from your mistakes, and keep evolving. The first steps are always the hardest. Do not give way to discouragement! There are probably zillions of things that are going through your mind right now, but keep reading, we will show you how chameleon
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
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)