cqf
Unverified ML strategy on Options by Liberxue. BotFinder score 18 out of 100.
Custom Neuron Decision-Making and Visual Workflow Orchestration Quantitative
Source: github
BotFinder analysis pending.
cqf
Custom Neuron Decision-Making and Visual Workflow Orchestration Quantitative CLI DEMO Examples Models Example Models Example Strategies Example Strategies Example Quantitative Models Binomial Tree Model Used for option pricing by constructing a binomial tree to represent possible paths an asset's price could take over time. It is particularly useful for valuing American options, which can be exercised at any time before expiration. Black-Scholes Model Used model for pricing European options. It assumes that the price of the underlying asset follows a geometric Brownian motion with constant volatility and interest rate. The model provides a closed-form solution for option pricing. Monte Carlo Model Used to value options by simulating a large number of possible price paths for the underlying asset. It is particularly useful for valuing complex derivatives and options with path-dependent features, as it can accommodate various stochastic processes and payoff structures. GARCH Model Used for modeling financial time series data that exhibit volatility clustering. It extends the ARCH model
⚠ 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.
Reviews & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)