repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 5h ago
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzySimilar title/name (fuzzy) · 66%Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning →
“Fuzzy title match (0.78): “Multi-Modal, Multi-Environment Machine Teaching for Robust R” ≈ “stefan-jansen/machine-learning-for-trading””
- FuzzySimilar title/name (fuzzy) · 66%The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine Translation →
“Fuzzy title match (0.78): “The Price of Reasoning: Cost-Quality Tradeoffs in Reinforcem” ≈ “stefan-jansen/machine-learning-for-trading””
- FuzzySimilar title/name (fuzzy) · 66%On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective →
“Fuzzy title match (0.78): “On the Structural Limits of Machine Learning Decision System” ≈ “stefan-jansen/machine-learning-for-trading””
- FuzzySimilar title/name (fuzzy) · 66%Beyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour data →
“Fuzzy title match (0.78): “Beyond chlorophyll: machine learning estimates of diagnostic” ≈ “stefan-jansen/machine-learning-for-trading””
- FuzzySimilar title/name (fuzzy) · 66%EMFE: A lightweight, explainable machine learning framework for malaria cell classification →
“Fuzzy title match (0.78): “EMFE: A lightweight, explainable machine learning framework ” ≈ “stefan-jansen/machine-learning-for-trading””
- FuzzySimilar title/name (fuzzy) · 66%Learning from waste: Machine Learning for health risk prediction and computer vision-based sorting in Ghana →
“Fuzzy title match (0.78): “Learning from waste: Machine Learning for health risk predic” ≈ “stefan-jansen/machine-learning-for-trading””
- FuzzySimilar title/name (fuzzy) · 66%TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development →
“Fuzzy title match (0.78): “TraceML: An Empirical Analysis of Human-Agent Planning in Ma” ≈ “stefan-jansen/machine-learning-for-trading””
- PossiblePossibly related (embedding) · 55%World Adversarial Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBox →
Implements
paperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward LearningpaperThe Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine TranslationpaperOn the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical PerspectivepaperBeyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour datapaperEMFE: A lightweight, explainable machine learning framework for malaria cell classificationpaperLearning from waste: Machine Learning for health risk prediction and computer vision-based sorting in GhanapaperTraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning DevelopmentpaperMachine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based MethodologypaperUnderstanding How Humans Inject Knowledge into Machine Learning Workflows through Visual AnalyticspaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningpaperAutomatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete WorkspaperCLaC@FinMMEval 2026 Task 3: Sentiment-Augmented Deep Reinforcement Learning for Active Trading -- An Alpha-Reward ApproachpaperComparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT NetworkspaperActive rejection enables reliable generalization of universal machine-learning interatomic potentialspaperBernstein-Vazirani Networks: Quantum Machine Learning by InterferencepaperCatching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine LearningpaperGravitational-wave parameter estimation with machine-learning generated surrogate waveformspaperA Standardized Framework for Machine Learning in Power System ProtectionpaperMachine Learning Assisted Inverse Design of Pixelated mmWave Patch AntennaspaperProfit based evaluation of machine learning for nitrogen recommendations in winter wheatpaperEntropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical KineticspaperHuman-Machine Collaboration on Generative Meta-Learning: Model and AlgorithmpaperSpectral Stability of Pseudoinverse-Based Extreme Learning MachinepaperPredicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning MethodologiespaperTime-Aware Validation of Machine Learning Fuel Consumption Models: Evidence from 1\,Hz Operational Data, CCGS \textit{Sir Wilfrid Laurier}paperLearning to Unlearn: Machine Unlearning via Learning the Unlearning BehaviorspaperQuantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMspaperAdvanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)
Covers
newsWorld Adversarial Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxnewsAI gold trading bots and the data revolution: How machine learning is transforming XAUUSD automation in 2026 - DataconomynewsInternational Conference on Machine Learning (ICML) 2026 - Apple Machine Learning ResearchnewsMachine Learning Market to Reach USD 421.7 Billion by 2035 | - openPR.comnewsIN 2026 ML BOOK OUTDATED? [D]newsipSpace.net Publishes Machine Learning Techniques Webinar - Let's Data Science
Covers (incoming)
newsThailand Machine Learning in Retail - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxnewsColombia Machine Learning in Retail - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxnewsSesa Buys 19% Stake In Solver Machine Learning - TradingViewnewsNew York-Based JEF Clear Quant Leverages Machine Learning to Redefine Alternative Asset Management - EIN PresswirenewsWorld Automotive Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxnewsMachine Learning In The Financial Services Market Report - openPR.comnewsMachine Learning Neural Network Engine — Indicator by Julien_Exe - TradingViewnewsRevolut Research launches to pioneer next-gen machine learning architecture across financial services - FX News GroupnewsJavier Antich Explains ML Applications in Networking - Let's Data SciencenewsMachine Learning isn’t about making mistakes - Daily KosnewsH&P set to launch ROP optimizer combining machine learning with physics-based modeling - Drilling Contractor
Related across the graph
paperEntropy-Constrained Machine Learning with Residual Data Augmentation for Modeling Chemical KineticspaperMachine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based MethodologypaperQuantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMspaperUnderstanding How Humans Inject Knowledge into Machine Learning Workflows through Visual AnalyticspaperMachine Learning Assisted Inverse Design of Pixelated mmWave Patch AntennaspaperHuman-Machine Collaboration on Generative Meta-Learning: Model and AlgorithmnewsNew York-Based JEF Clear Quant Leverages Machine Learning to Redefine Alternative Asset Management - EIN PresswirepaperAdvanced Linear Algebra with Applications - Part I (Numerical linear algebra for PDEs, machine learning, and data assimilation)paperSpectral Stability of Pseudoinverse-Based Extreme Learning MachinenewsRevolut Research launches to pioneer next-gen machine learning architecture across financial services - FX News GrouppaperAutomatic Thematic Indexing of Large Literary Corpora: A Machine Learning Approach to Voltaire's Complete WorkspaperOn the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical PerspectivenewsInternational Conference on Machine Learning (ICML) 2026 - Apple Machine Learning ResearchnewsThailand Machine Learning in Retail - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxpaperMulti-Modal, Multi-Environment Machine Teaching for Robust Reward LearningnewsMachine Learning Market to Reach USD 421.7 Billion by 2035 | - openPR.compaperGravitational-wave parameter estimation with machine-learning generated surrogate waveformsnewsWorld Automotive Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxpaperProfit based evaluation of machine learning for nitrogen recommendations in winter wheatpaperQuantum vs. Classical Machine Learning: A Unified Empirical ComparisonpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperTraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning DevelopmentnewsMachine Learning isn’t about making mistakes - Daily KospaperEMFE: A lightweight, explainable machine learning framework for malaria cell classificationpaperCLaC@FinMMEval 2026 Task 3: Sentiment-Augmented Deep Reinforcement Learning for Active Trading -- An Alpha-Reward ApproachpaperBernstein-Vazirani Networks: Quantum Machine Learning by InterferencepaperThe Price of Reasoning: Cost-Quality Tradeoffs in Reinforcement Learning for Neural Machine TranslationpaperComparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT NetworkspaperBeyond chlorophyll: machine learning estimates of diagnostic phytoplankton pigments from multispectral ocean colour datanewsJavier Antich Explains ML Applications in Networking - Let's Data SciencepaperActive rejection enables reliable generalization of universal machine-learning interatomic potentialspaperPredicting Early Stages Of Alzheimer's Disease And Identifying Key Biomarkers Using Deep Artificial Neural Network And Ensemble Of Machine Learning MethodologiesnewsIN 2026 ML BOOK OUTDATED? [D]newsWorld Adversarial Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxpaperBeyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine LearningpaperTime-Aware Validation of Machine Learning Fuel Consumption Models: Evidence from 1\,Hz Operational Data, CCGS \textit{Sir Wilfrid Laurier}newsMachine Learning In The Financial Services Market Report - openPR.comnewsSesa Buys 19% Stake In Solver Machine Learning - TradingViewnewsColombia Machine Learning in Retail - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxpaperA Standardized Framework for Machine Learning in Power System ProtectionnewsipSpace.net Publishes Machine Learning Techniques Webinar - Let's Data SciencepaperLearning from waste: Machine Learning for health risk prediction and computer vision-based sorting in GhanapaperLearning to Unlearn: Machine Unlearning via Learning the Unlearning BehaviorsnewsMachine Learning Neural Network Engine — Indicator by Julien_Exe - TradingViewpaperCatching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine LearningnewsAI gold trading bots and the data revolution: How machine learning is transforming XAUUSD automation in 2026 - DataconomynewsH&P set to launch ROP optimizer combining machine learning with physics-based modeling - Drilling Contractor