ShashwatKartikey / Hangman-ChallengeLinks
Implemented Hangman challenge using Trexquant API with 55% accuracy
☆35Updated 3 years ago
Alternatives and similar repositories for Hangman-Challenge
Users that are interested in Hangman-Challenge are comparing it to the libraries listed below
Sorting:
- ☆142Updated 10 months ago
- Application guide for top MFE programs☆85Updated last month
- Books for Quant Finance Interviews☆81Updated 10 years ago
- ☆60Updated 2 years ago
- 因子回测框架☆134Updated 2 years ago
- Mining technical factors based on symbolic regression via genetic algorithm☆197Updated 2 years ago
- High frequency factors based on order and trade data.☆66Updated last year
- Using Multiple approaches of Machine Learning model is 60% accurate☆29Updated 9 months ago
- QuantNet course on C++ programming (completed with Certificate with Distinction)☆75Updated 3 years ago
- World Quant 101 alphas的计算和策略化☆301Updated 8 years ago
- 本文通过gplearn模型,结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统,主要针对股指期货操作。☆136Updated last year
- ☆68Updated last year
- Stock factor mining with CNN and GRU.☆66Updated 2 years ago
- Reimplementation of Autoencoder Asset Pricing Models (GKX, 2019)☆130Updated 2 months ago
- Reimplementation of Paper: (Re-)Imag(in)ing Price Trends☆65Updated last month
- some interest rate models such as Vasicek and dynamic Nelson-Siegel model☆17Updated 5 years ago
- hanman solver program for job interview☆41Updated 12 years ago
- The CQF resources and my learning records☆192Updated last year
- ☆184Updated 2 years ago
- 华泰金工研究报告☆212Updated 2 years ago
- ☆30Updated last year
- Deep Learning Statistical Arbitrage☆243Updated 3 years ago
- ☆156Updated 2 years ago
- ☆128Updated 7 years ago
- Preparation material and resources for the ML (including DL) and Quant Research interviews☆140Updated 4 years ago
- Code implementation of the Quantigic 101 Formulaic Alphas☆614Updated 6 years ago
- 分享量化投资相关的论文,代码和代码复现。☆83Updated 2 years ago
- Study resources for quantitative finance☆199Updated 3 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆45Updated 3 years ago
- Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.☆239Updated 3 years ago