Trading Tools for Planning and Review
Plan position size, follow major FX sessions, and review trades with focused browser-based tools. No subscription or broker connection.
Research roadmap
We’re developing automated cross-asset trading systems—and documenting what works, what fails, and what still needs to be proven.
Our systems are experimental. Published results may be simulated or backtested and are not a promise of future performance or investment advice.
Machine learning models are not a genie in a bottle: some generalize across market conditions better than others. We are adding a computer-vision research system to our peak and trough detection work and evaluating it on strictly held-out ETHUSD data. Our ETHUSD data collection system is available for demonstration and research purposes only.
When results are published, we aim to show the test period, benchmark, number of trades, turnover, gross and net returns, fees, slippage, volatility, and maximum drawdown. Model scores are reported with enough context to distinguish in-sample fit from out-of-sample evidence.
We are evaluating additional model structures for pattern recognition. Earlier algorithmic systems remain intact while newer approaches are compared against held-out data and realistic trading costs.
Our convolutional-neural-network tooling was stable enough to support further research on ETHUSD pricing history. Earlier training and validation R² figures measured next-price prediction—not trading profitability—and should not be read as evidence of investable returns.
- ETH-USD price puller ✔
- Historical trading signals calculator ✔
- CNN model maker ✔
- CNN optimizer ✔
- CNN backtester ✔
Microsoft Founders Hub awarded EvoLve Quant LLC $30,000 in Azure credits. At the time, twelve of thirteen MVP milestones were complete.
EvoLve Quant is developing automated cross-asset trading systems intended to fund commercially viable businesses addressing climate change, pollution, and environmental degradation. Any future capital-allocation or profit-sharing structure will be published only after the appropriate legal and regulatory review.
One area under consideration is a chitosan-based water-bottle venture designed to connect waste collection, local economic participation, and food production. This concept remains exploratory and is not a current product or investment offering.