---
title: Quant Letter No. 19: October 2023, Week 1
url: https://www.ml-quant.com/issues/2023-10-04-2/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
issue_date: 2023-10-04
---


# Quant Letter No. 19: October 2023, Week 1

Sent 2023-10-04. 78 items.

## arXiv

### Finance

- __[CAD: Clustering and deep reinforcement learning for multi-period trading](https://arxiv.org/abs/2310.01319)__: Clustering and deep reinforcement learning for multi-period trading: The study introduces a new trading strategy that merges reinforcement learning and clustering techniques for portfolio management in multi-period trading, showing better results than traditional portfolio management methods. (2023-10-02, shares: 5) · https://www.ml-quant.com/papers/arxiv/2310.01319/
- __[Automated regime detection in time series data](https://arxiv.org/abs/2310.01285)__: The paper explores the use of Wasserstein k-means clustering on multidimensional time series data for automated regime detection, proving its effectiveness in identifying different market regimes in real financial time series. (2023-10-02, shares: 5) · https://www.ml-quant.com/papers/arxiv/2310.01285/
- __[Review of early warning systems in finance](https://arxiv.org/abs/2310.00490)__: The bibliometric review studies the research on early warning systems in finance, emphasizing the shift towards machine learning methods and the importance of using both macroeconomic and microeconomic data for better predictive accuracy. (2023-09-30, shares: 4) · https://www.ml-quant.com/papers/arxiv/2310.00490/
- __[Static hedging of European options](https://arxiv.org/abs/2310.01104)__: The research expands the hedging of European options to cover multiple short maturities, using a set of shorter-term options to calculate the hedging error, and compares the Black-Scholes and Merton Jump Diffusion models' performance. (2023-10-02, shares: 8) · https://www.ml-quant.com/papers/arxiv/2310.01104/
- __[Covariance Matrix Filtering](https://arxiv.org/abs/2309.17219)__: The Average Oracle, a fast covariance filtering method, outperforms complex methods, yielding superior Sharpe ratios in large-scale experiments. (2023-09-29, shares: 4) · https://www.ml-quant.com/papers/arxiv/2309.17219/
- __[NoxTrader: LSTM Stock Return Prediction](https://arxiv.org/abs/2310.00747)__: LSTM Stock Return Prediction: NoxTrader, a tool for portfolio construction and trading execution, uses time-series analysis of historical data to generate profitable stock market outcomes. (2023-10-01, shares: 4) · https://www.ml-quant.com/papers/arxiv/2310.00747/
- __[Stock Volatility Prediction](https://arxiv.org/abs/2309.16196)__: A new model combining macroeconomic indicators, stock technical indicators, and Baidu search indices significantly improves stock volatility prediction, reducing error from 1.00 to 0.86. (2023-09-28, shares: 4) · https://www.ml-quant.com/papers/arxiv/2309.16196/
- __[Robust Asset-Liability Management](https://arxiv.org/abs/2310.00553)__: A new model-free bond portfolio selection method helps financial institutions hedge against interest rate risk, maximizing worst-case equity and outperforming existing methods. (2023-10-01, shares: 3) · https://www.ml-quant.com/papers/arxiv/2310.00553/
- __[Handling Missing Data in Burundian Bonds](https://arxiv.org/abs/2309.17379)__: The Linear Regression method is suggested for handling missing data in the Burundian sovereign bond market, aiding in the development of financial products and trading strategies in Burundi. (2023-09-29, shares: 3) · https://www.ml-quant.com/papers/arxiv/2309.17379/

### Miscellaneous

- __[Data-Driven Approaches for Investment Sourcing](https://arxiv.org/abs/2309.16888)__: The paper introduces a new data-driven method using a Transformer-based Multivariate Time Series Classifier to enhance decision making in Venture Capital and Growth Capital investments by predicting the success of potential investment targets. (2023-09-29, shares: 4) · https://www.ml-quant.com/papers/arxiv/2309.16888/
- __[Cautionary Notes on Using LLMs for Analysis](https://arxiv.org/abs/2309.17147)__: The study investigates the application of Large Language Models in analyzing qualitative interview data, warning about possible biases and recommending the use of simpler supervised models trained on high-quality human annotations to reduce measurement error and bias. (2023-09-29, shares: 2) · https://www.ml-quant.com/papers/arxiv/2309.17147/

### Crypto & Blockchain

- __[Solvency Assessment of Virtual Asset Service Providers: Insights and Strategies](https://arxiv.org/abs/2309.16408)__: Insights and Strategies: The article suggests a method to evaluate the financial stability of virtual asset service providers using data from crypto wallets, balance sheets, and regulatory bodies, emphasizing the importance of regular audits for crypto assets. (2023-09-28, shares: 6) · https://www.ml-quant.com/papers/arxiv/2309.16408/
- __[Deep Learning and GARCH Models for Financial Volatility Forecasting](https://arxiv.org/abs/2310.01063)__: The research introduces a hybrid method for predicting the volatility and risk of financial tools by merging GARCH time series models with deep learning neural networks, finding that while this approach improves volatility predictions, it doesn't necessarily enhance Value-at-Risk and Expected Shortfall forecasts. (2023-10-02, shares: 5) · https://www.ml-quant.com/papers/arxiv/2310.01063/

### Historical Trending

- __[Financial Price Forecasting with Deep Learning Models](https://arxiv.org/abs/2305.04811)__: The article explores deep learning models for financial forecasting, discussing their structures, uses, pros and cons, and potential future research areas. (2023-04-21, shares: 86) · https://www.ml-quant.com/papers/arxiv/2305.04811/
- __[Robust Multilevel Monte Carlo Method with Numerical Smoothing](https://arxiv.org/abs/2003.05708)__: The article introduces an improved multilevel Monte Carlo method for estimating solutions to a stochastic differential equation, using a numerical smoothing technique to enhance convergence, complexity, and robustness. (2020-03-12, shares: 37) · https://www.ml-quant.com/papers/arxiv/2003.05708/
- __[Self-Aware Transport of Agents in Macroeconomics](https://arxiv.org/abs/2303.12567)__: The paper questions the standard approach to achieving constant equilibrium in macroeconomic models, suggesting a new method that allows simultaneous adjustment of prices, policy, and population distribution. (2023-03-22, shares: 40) · https://www.ml-quant.com/papers/arxiv/2303.12567/
- __[Employer Reputation in Labor Market](https://arxiv.org/abs/2305.02587)__: Online reputation of employers, especially smaller and less established firms, significantly influences their ability to attract employees, according to a study using Glassdoor.com and Dice.com data. (2023-05-04, shares: 27) · https://www.ml-quant.com/papers/arxiv/2305.02587/
- __[Dynamic Loss Model Stress](https://arxiv.org/abs/2211.03221)__: A proposed reverse stress testing framework using a compound Poisson process allows for the examination of hypothetical scenarios and the comparison of stress effects on process dynamics. (2022-11-06, shares: 24) · https://www.ml-quant.com/papers/arxiv/2211.03221/

## SSRN

### Quantitative

- __[ML and Kalman Filter for Pair Trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4590815)__: The research uses machine learning and Kalman filtering to improve pair trading strategies, increasing efficiency and returns. (2023-10-03, shares: 4) · https://www.ml-quant.com/papers/ssrn/4590815/
- __[CEO Effect Revisited with ML](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4591114)__: The study suggests that the influence of CEOs on their firms' performance, known as the CEO effect, is not significant, based on machine learning models and predictive analytics. (2023-10-03, shares: 3) · https://www.ml-quant.com/papers/ssrn/4591114/
- __[Multi-period Static Hedging of Options](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4587517)__: The paper expands the method of hedging European options to include options over multiple short maturities, comparing the Black-Scholes and Merton Jump Diffusion models. (2023-09-29, shares: 2) · https://www.ml-quant.com/papers/ssrn/4587517/
- __[Regime Detection in Multidimensional Time Series Data using Automation](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4587877)__: The Wasserstein k-means clustering algorithm effectively identifies regimes in synthetic one-dimensional time series data, with a proposed extension to multidimensional data. (2023-09-29, shares: 2) · https://www.ml-quant.com/papers/ssrn/4587877/
- __[Mutual Fund Managers' Appeal and Fund Flows](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586712)__: Research shows that mutual funds managed by 'attractive' managers attract more investments from retail investors, despite no evidence of better fund performance. (2021-02-27, shares: 26) · https://www.ml-quant.com/papers/ssrn/4586712/
- __[Tightening Monetary Policy and Fragile U.S. Banks](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4587122)__: A study warns that increasing interest rates could cause significant losses for U.S. banks, particularly those with low capital and high uninsured leverage, potentially leading to bank runs. (2023-03-24, shares: 132106) · https://www.ml-quant.com/papers/ssrn/4587122/
- __[Derivatives' Role in UK Pension Crisis](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4587863)__: The use of derivatives in UK pension schemes is questioned due to their potential to exacerbate losses in worst-case scenarios, raising systemic risk concerns. (2023-03-03, shares: 2) · https://www.ml-quant.com/papers/ssrn/4587863/
- __[Lower-Tail Risk Premiums in China's Stock Market](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4589935)__: A study on the Chinese stock market finds that premiums for joint lower-tail risk of liquidity and investor sentiment significantly affect future stock returns. (2023-07-10, shares: 2) · https://www.ml-quant.com/papers/ssrn/4589935/
- __[LIGHT Benchmark: Market Risk Backtesting](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586897)__: Market Risk Backtesting: The article presents LIGHT Benchmark, a tool for comparing market risk models, including a scoring system for evaluating Value at Risk and Expected Shortfall models. (2023-07-20, shares: 4) · https://www.ml-quant.com/papers/ssrn/4586897/
- __[Efficiency Metrics in Investments](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4584524)__: The research highlights the significance of measuring risk-adjusted returns in investments and trading, providing insights for strategy optimization and understanding risk-return dynamics. (2023-09-26, shares: 20) · https://www.ml-quant.com/papers/ssrn/4584524/

### Financial

- __[Look-Ahead Bias in Stock Return Predictions](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586726)__: Large language models like ChatGPT can generate profitable trading signals from news sentiment, but backtesting can yield biased results due to overlapping periods. (2023-09-28, shares: 5) · https://www.ml-quant.com/papers/ssrn/4586726/
- __[Replication Failures in Bond Factors](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586652)__: The study criticizes inconsistent methodologies in corporate bond factors literature, suggesting a robust factor construction and a clean database for corporate bond returns. (2023-09-28, shares: 20) · https://www.ml-quant.com/papers/ssrn/4586652/
- __[ML Execution Time in Asset Pricing](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4587923)__: The XGBoost machine learning model is found to be highly accurate and efficient in empirical asset pricing, with improved performance through feature reduction and shorter time observations. (2023-09-29, shares: 3) · https://www.ml-quant.com/papers/ssrn/4587923/
- __[Deep Learning and GARCH Models for Financial Volatility](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4589950)__: A hybrid approach combining GARCH time series models with deep learning neural networks is proposed for forecasting financial volatility and risk, tested on S&P 500, gold, and Bitcoin prices. (2023-10-02, shares: 2) · https://www.ml-quant.com/papers/ssrn/4589950/
- __[Hedge Fund Option Usage and Skewness Premium](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586637)__: Hedge fund option usage impacts skewness risk premium in individual stock options, with stocks having more hedge fund holders using the long naked put strategy showing more positive returns. (2023-09-28, shares: 3) · https://www.ml-quant.com/papers/ssrn/4586637/
- __[Elasticity of Machine Learning and Investment Strategies](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586223)__: Modern asset pricing models suggest that statistical arbitrageurs create inelastic market demand for assets, a contrast to classical models where they create elastic demand. (2022-10-20, shares: 233) · https://www.ml-quant.com/papers/ssrn/4586223/
- __[Portfolio Choice with Hedging and Costs](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586868)__: CARA investors keep a steady trading speed in a market with partially predictable returns and costly trading, optimizing both trading speed and portfolio for a frictionless market. (2023-07-29, shares: 361) · https://www.ml-quant.com/papers/ssrn/4586868/
- __[Liquidity Shocks and Premium of Volatility](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4589930)__: Stock returns are negatively affected by liquidity volatility across international markets, with high liquidity volatility leading to significant liquidity decreases and lower average returns. (2023-03-27, shares: 2) · https://www.ml-quant.com/papers/ssrn/4589930/
- __[Enhancing Volatility Forecast for Emerging Markets](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4584573)__: Four models - HAR, realised GARCH, RECH, and RFSV - each have unique strengths in forecasting realised volatility in emerging markets, with HAR capturing long-term volatility patterns and realised GARCH capturing volatility clustering and persistence. (2023-09-26, shares: 3) · https://www.ml-quant.com/papers/ssrn/4584573/
- __[CEVC Model: Volatility and Correlation in Portfolio Optimization](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586750)__: Volatility and Correlation in Portfolio Optimization: A proposed model allowing for constant elasticity of volatility and correlation proves significant for pricing and portfolio optimization, offering straightforward solutions for allocations and value functions. (2023-05-17, shares: 2) · https://www.ml-quant.com/papers/ssrn/4586750/
- __[Political Connections and Investment Decisions in Chinese Mutual Funds](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586940)__: A study finds a direct correlation between Chinese mutual funds' political ties and their investment choices, with these influences decreasing after the 2012 anti-corruption campaign, implying such campaigns can improve market fairness. (2023-09-22, shares: 3) · https://www.ml-quant.com/papers/ssrn/4586940/

## Papers with code

### Trending

- __[Unified Automation for Parallelization and Activation Checkpoint in Large Models](https://github.com/hpcaitech/colossalai)__: The article presents a system that simultaneously improves distributed execution and gradient checkpointing plans. (2023-09-28, shares: 34516)
- __[NeuRBF: Adaptive Radial Basis Functions for Neural Fields Representation](https://github.com/oppo-us-research/NeuRBF)__: Adaptive Radial Basis Functions for Neural Fields Representation: The article highlights the limitations of fixed spatial positions of neural features on grid nodes in adapting to target signals. (2023-10-01, shares: 126)

### Rising

- __[Boolformer: Logic Function Regression with Transformers](https://github.com/sdascoli/boolformer)__: Logic Function Regression with Transformers: The article presents Boolformer, a novel Transformer architecture designed for symbolic regression of Boolean functions. (2023-10-02, shares: 102)
- __[DISCLawLLM: Fine-tuning Language Models for Intelligent Legal Services](https://github.com/fudandisc/disc-lawllm)__: Fine-tuning Language Models for Intelligent Legal Services: The article introduces DISCLawLLM, a smart legal system that utilizes large language models to offer diverse legal services. (2023-09-29, shares: 92)

## GitHub

### Finance

- __[Self-Supervised Learning for Time Series](https://github.com/qingsongedu/Awesome-SSL4TS)__: The software compiles a thorough list of resources for SelfSupervised Learning in Time Series. (2023-06-22, shares: 98)
- __[EP Chan's Algo Trading Strategies](https://github.com/zazhang/ep-chan-book-algo-trading)__: The software offers techniques to replicate strategies from EP Chan's book on algorithmic trading. (2018-07-17, shares: 72)
- __[Estimating Lead-Lag Parameter](https://github.com/philipperemy/lead-lag)__: The software concentrates on calculating the leadlag parameter from nonsynchronous data. (2018-08-08, shares: 83)
- __[Deep Learning Models for Limit Order Book](https://github.com/Jeonghwan-Cheon/lob-deep-learning)__: The software explores the application of various deep learning models for limit order book. (2022-11-09, shares: 37)
- __[AI for Time Series](https://github.com/qingsongedu/awesome-AI-for-time-series-papers)__: The software shares a curated list of resources on AI for Time Series from leading AI conferences and journals. (2022-06-03, shares: 655)

### Trending

- __[Hacker's Guide to Language Models -> Hacker's Language Model Guide](https://github.com/fastai/lm-hackers)__: The software explains how hackers can exploit language models. (2023-09-24, shares: 806)
- __[NextGen Language Model Applications -> NextGen Model Applications](https://github.com/microsoft/autogen)__: The software promotes a Discord server for discussing applications of advanced language models. (2023-08-18, shares: 1280)
- __[Multimodal AI Creation Toolbox -> Multimodal AI Toolbox](https://github.com/open-mmlab/mmagic)__: The promotes presents OpenMMLab's innovative creation toolbox with user-friendly APIs and diffusion models. (2019-08-23, shares: 5790)

## News

### Quantitative

- __[DMASwaps boost Chinese hedge fund returns](https://www.hedgeweek.com/dma-swaps-help-chinas-hedge-funds-boost-returns/)__: The DMASwap strategy, allowing Chinese hedge fund managers to circumvent regulatory borrowing limits, is yielding substantial returns in the struggling Chinese stock markets, according to Bloomberg. (2023-09-29, shares: 3)
- __[Bloomberg unveils tool for improved liquidity discovery](https://www.hedgeweek.com/bloomberg-launches-tool-to-improve-all-to-all-liquidity-discovery/)__: Bloomberg has launched Bridge AXE, a tool that allows participants to anonymously post and identify trading interests using existing liquidity discovery tools. (2023-10-02, shares: 3)

### Miscellaneous

- __[Hedge funds seek Dubai's approval](https://www.fnlondon.com/articles/dubai-45-hedge-funds-in-regulatory-approval-process-20230929)__: Salmaan Jaffery anticipates a significant increase in hedge funds at Dubai International Financial Centre. (2023-09-28, shares: 2)
- __[AI's impact on investment management](https://news.google.com/rss/articles/CBMiXWh0dHBzOi8vd3d3LmlwZS5jb20vc3BlY2lhbC1yZXBvcnRzL2NvdWxkLWFpLXRyYW5zZm9ybS1pbnZlc3RtZW50LW1hbmFnZW1lbnQvMTAwNjkxNjAuYXJ0aWNsZdIBAA?oc=5)__: A special report by IPE suggests that AI could dramatically transform the investment management industry. (2023-10-02, shares: 2)
- __[Three Arrows cofounder jailed in SG](https://www.hedgeweek.com/three-arrows-co-founder-jailed-in-singapore/)__: Su Zhu, co-founder of the unsuccessful crypto hedge fund Three Arrows Capital, has been imprisoned in Singapore for failing to cooperate with investigators. (2023-10-02, shares: 2)
- __[Hedge Funds Boost Abu Dhabi](https://www.hedgeweek.com/hedge-funds-help-abu-dhabis-non-oil-economy-to-grow-by-12/)__: Abu Dhabi's private non-oil economy has grown by 12% annually due to hedge funds, reaching a record AED154bn ($41.9bn). (2023-10-04, shares: 2)
- __[Man Solutions CEO Leaves](https://www.hedgeweek.com/man-solutions-parts-company-with-ceo/)__: Michael Turner, the CEO of Man Group's solutions business, has left the company after 16 years. (2023-09-29, shares: 1)

## Podcasts

### Quantitative

- __[Jason Halliwell on Value Investing, Systematic Macro, and Carry](https://macrohive.libsyn.com/jason-halliwell-on-value-investing-systematic-macro-and-carry)__: Jason Halliwell discusses equity perspectives, the effectiveness of systematic macro approaches, and value investing in a Masterworks-sponsored podcast. (2023-09-29, shares: 6)
- __[Volatility Dynamics and Value Investing](https://www.buzzsprout.com/2034153/13679426-understanding-volatility-dynamics-and-value-investing-with-dan-ferris.mp3)__: Dan Ferris shares his views on the current financial situation, monetary policy history, and investment strategies, warning of a potential massive financial bubble. (2023-09-28, shares: 10)
- __[Valuation Adjustments](https://www.buzzsprout.com/1877496/13699262-capital-valuation-adjustments.mp3)__: Dr. Matthias Arnsdorf talks about capital valuation adjustments and the significance of communication skills in quantitative finance on the QuantSpeak podcast. (2023-10-02, shares: 5)

## Blogs

### Quantitative

- __[Enhancing Investment Strategies with AI](https://quantdare.com/ai-case-study-long-short-strategy/)__: ETS Asset Management Factory is using AI to improve risk assessment in their Alternative DataDriven Investment strategy. (2023-09-29, shares: 6)
- __[Follow Us on Pinterest for Trading Strategies](https://www.quantifiedstrategies.com/lumber-gold-ratio-trading-strategy-for-stocks-and-bonds/)__: Quantifiedstrategies.com presents the LumberGold Ratio Trading Strategy for stocks and bonds, including backtest performance and rules. (2023-10-02, shares: 4)

## Videos

### Quantitative

- __[Vanguard: ML Augmented Taylor Rule](https://www.youtube.com/watch?v=oB-KSIzsciw)__: ML Augmented Taylor Rule: A new model for predicting the Federal funds rate has been developed, significantly outperforming the traditional Taylor rule model and offering potential applications in asset pricing and investing. (2023-09-28, shares: 5)
- __[ABFR Webinar: Sendhil Mullainathan and Sharad Goel](https://www.youtube.com/watch?v=3WxHVJX3K9Y)__: Sendhil Mullainathan and Sharad Goel: The ABFR Webinar, discussing AI and big data's role in economics and finance, is set to take place on September 28, 2023. (2023-10-02, shares: 1)
- __[Two Sigma Interns' Experience](https://www.youtube.com/watch?v=xYqn7N1_xPs)__: Two Sigma is offering internships to PhD students, giving them practical experience and insight into a career in quantitative research. (2023-09-29, shares: 4)
- __[Companies' Layoffs: How and Why](https://www.youtube.com/watch?v=NLYIEyryCJQ)__: How and Why: Despite layoffs, companies continue to recruit as they adapt to market changes, cutting costs in some sectors while expanding others. (2023-10-01, shares: 7)

## X / Twitter

### Quantitative

- __[Quant Signals](https://twitter.com/carlcarrie/status/1707257750638445035)__: Apologies, but the provided texts do not contain enough information to generate a summary for each article. (2023-09-28, shares: 1)
- __[Equityfactor value by Zhang](https://twitter.com/quantseeker/status/1709143867096793316)__: Zhang's research paper determines the value of equity factors by evaluating the long-term reversal spread, finding positive returns only when the spread surpasses the historical median. (2023-10-03, shares: 0)
- __[WizardCoder34B outperforms GPT4 and Claude2](https://twitter.com/carlcarrie/status/1707725154195771771)__: The latest WizardCoder 34B, built on Code Llama, surpasses GPT4, ChatGPT3.5, and Claude2 in performance on HumanEval, achieving a 73.2% pass rate. (2023-09-29, shares: 0)
- __[Technology enables innovative creation modes](https://twitter.com/carlcarrie/status/1707243860722655685)__: The article explores the role of technology in facilitating innovative methods of creation. (2023-09-28, shares: 0)

## Reddit

### Quantitative

- __[Internship Dilemma: Finance vs Software Eng.](https://www.reddit.com/r/quantfinance/comments/16uccce/intern_financial_markets_vs_swe/)__:  (2023-09-28, shares: 3)
- __[Quick Guide to Studying Options & Market Making](https://www.reddit.com/r/quant/comments/16ugicn/best_way_to_study_options_and_market_making/)__:  (2023-09-28, shares: 1)
- __[Extracting Value from Algo Alert on Top Gainers](https://www.reddit.com/r/algotrading/comments/16wa7li/general_thoughts_about_an_approachstrategy/)__:  (2023-09-30, shares: 0)
- __[Insights into Jane Street Trading Desk Ops.](https://www.reddit.com/r/quant/comments/16vyox5/jane_street_trading_desk_operations/)__:  (2023-09-30, shares: 26)

### Rising

- __[Model Validation to Front Office Transition](https://www.reddit.com/r/quant/comments/16x7uup/model_validation_career_advice/)__:  (2023-10-01, shares: 16)
- __[Tips for Junior Quants and HR Questions](https://www.reddit.com/r/quant/comments/16wavom/how_not_to_get_fired_as_a_junior_quant_and_other/)__:  (2023-09-30, shares: 73)
- __[Machine Learning for Betfair Horse Trading](https://www.reddit.com/r/quant/comments/16wunp6/ml_horse_trading_through_betfair_exchange/)__:  (2023-10-01, shares: 61)