pythonperplexityresearch-agentafter-workstart-using
Getting Started with Perplexity for Research
Use Perplexity as a cited research searcher—not a coding agent—and run one sourced brief after work.
Academy notes
Articles and updates from SoloQuant Academy.
Use Perplexity as a cited research searcher—not a coding agent—and run one sourced brief after work.
Guijarro-Ordonez, Pelger & Zanotti (2021) use deep nets to extract residual spreads for statistical arbitrage. Plain-language intro. Not investment advice.
Feng, He & Polson (2018) study deep nets for predicting asset returns from characteristics. Plain-language intro. Not investment advice.
Justin Sirignano (2016) applies spatial neural nets to limit-order-book states—an early LOB deep-learning baseline. Plain-language intro. Not investment advice.
Bühler, Gonon, Teichmann & Wood (2018) train neural nets to hedge derivatives under frictions instead of relying on Black–Scholes deltas. Plain-language intro. Not investment advice.
Dixon, Klabjan & Bang (2017) recast market prediction as classification with deep neural nets instead of return regression. Plain-language intro. Not investment advice.
Lim, Zohren & Roberts (2019) enhance time-series momentum with deep nets, Sharpe-oriented training, and volatility scaling. Plain-language intro. Not investment advice.
Gu, Kelly & Xiu (2019) bake off ML methods (trees, nets, and more) for the equity cross-section. Plain-language intro. Not investment advice.
Zhang, Zohren & Roberts (2018) introduce DeepLOB—CNN (inception-style) plus LSTM on LOB snapshots for short-horizon mid-price moves. Plain-language intro. Not investment advice.
Install Browser Use, run one local Python agent that opens a real browser, and automate a tiny research or form-fill task after work.
Heaton, Polson & Witte (2016) propose Deep Portfolio Theory: encode–calibrate–validate hierarchical nets as a bridge from Markowitz. Plain-language intro. Not investment advice.
Chen, Pelger & Zhu (2019) estimate a deep SDF / pricing kernel from characteristics—end-to-end asset pricing without a hand-built factor zoo. Plain-language intro. Not investment advice.