cme
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cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Tr…
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Apr 6, 2024 - Python
Perl module to create configuration editor with semantic validation
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Nov 24, 2024 - Perl
A minimalist, low-latency, HFT CME MDP3.0 C++ market data feed handler and pcap file reader (MDP 3.0)
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Oct 6, 2024 - C++
Risk tools for commodities trading and finance
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Dec 7, 2024 - Jupyter Notebook
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
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Mar 4, 2024 - Python
Graduated cylindrical shell CME model in Python
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Aug 29, 2024 - Python
Connect the impact of marketing and your ad spend to sales. Efficiently pinpoint the impact of various revenue-generating marketing activities to understand what works best. Focus on the best-performing channels to optimize media mix and drive revenue.
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Jul 26, 2024 - Python
Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.
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Jun 12, 2023 - R
FIX order manager client for fix order routing in C++ using QuickFIX engine can be used for Trading Technologies (TT) or CQG and others
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Aug 2, 2024 - C++
Imandra Modelling Language CME MDP Model
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May 12, 2020 - Jupyter Notebook
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Jul 22, 2024 - Python
CME Arrival Time Prediction Using Convolutional Neural Network
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Jul 1, 2020 - Python
From display to video, the value of an impression can only be realized if an ad is viewed by a user. Therefore, when using programmatic advertising to buy inventory, it’s important to take viewability into account. In this Solution Accelerator, learn how to predict ad viewability to optimize your real-time bidding strategy.
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Jun 16, 2023 - Python
Repository for Pachter Lab Biophysics
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Jul 25, 2024 - Python
Analyze the CME grain options markets in python
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Sep 5, 2020 - Python
Get started with our Solution Accelerator for Propensity Scoring to build effective propensity scoring pipelines that: Enable the persistence, discovery and sharing of features across various model training exercises Quickly generate models by leveraging industry best practices Track and analyze the various model iterations generated
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Jun 8, 2023 - Python
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