cme
There are 56 repositories under cme topic.
NDelventhal/cot_reports
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, Traders in Financial Futures (TFF) Futures-only and Traders in Financial Futures (TFF) Futures-and-Options Combined.
epam/java-cme-mdp3-handler
Java Market Data Handler for CME Market Data (MDP 3.0)
dod38fr/config-model
Perl module to create configuration editor with semantic validation
vincent212/CME-Market-Data-Handler
A minimalist, low-latency, HFT CME MDP3.0 C++ market data feed handler and pcap file reader (MDP 3.0)
databricks-industry-solutions/causal-incentive
Accelerator for customer incentive investment using causal inference techniques
bbcho/risktools-dev
Risk tools for commodities trading and finance
databricks-industry-solutions/customer-er
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
johan12345/gcs_python
Graduated cylindrical shell CME model in Python
databricks-industry-solutions/fine-grained-demand-forecasting
Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Data Intelligence Platform.
databricks-industry-solutions/multi-touch-attribution
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.
vincent212/FIX-Order-Routing-Client
FIX order manager client for fix order routing in C++ using QuickFIX engine can be used for Trading Technologies (TT) or CQG and others
imandra-ai/cme-mdp
Imandra Modelling Language CME MDP Model
sambacha/CME-iLink3
CME iLINK3 Connectivity
yiminking/CME-CNN
CME Arrival Time Prediction Using Convolutional Neural Network
databricks-industry-solutions/real-time-bidding
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.
CJuanvip/CMEOptions
Analyze the CME grain options markets in python
databricks-industry-solutions/propensity
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
databricks-industry-solutions/toxicity-detection-in-gaming
Build a lakehouse for all your gamer data and use natural language processing techniques to flag questionable comments for moderation.
databricks-industry-solutions/wide-and-deep
Build a wide-and-deep recommender with collaborative filters that takes advantage of patterns of repeat purchases to suggest both previously purchased and related products.
LiXiang618/Scrape-Futures-Specs-From-CME
Use futures symbols to search and get their contract specs From CME website
pachterlab/biophysics
Repository for Pachter Lab Biophysics
CME-OS/cme
Campaigns Made Easy - Open Source Email Campaign Sysetm
databricks-industry-solutions/survival-analysis
Survival analysis is a collection of statistical methods used to examine and predict the time until an event of interest occurs. In this Solution Accelerator, learn how to use different survival analysis techniques for predicting churn and calculating lifetime value.
alexpinel/CatView
CME SHARP Active region visualisation tool
astronish16/Cone_Model_for_CME
This repository provides a python code to infer morphological parameters of Coronal Mass Ejection using Cone model given by Xie et al.,2004.
astronish16/DBM--Drag-Based-Model
This repository provides the python-based code for Coronal Mass Ejection(CME) arrival forecast using Drag Based Model(DBM).
Clutchisback1/GIT_THEM
Just a quick and dirty little script import all the github goodies I like to play with.
databricks-industry-solutions/campaign-effectiveness
Identifying Campaign Effectiveness For Forecasting Foot Traffic
e-nzym3/nxc_spray
Bash wrapper script to perform timed password sprays using NetExec.
kolybelkin/java-cme-mdp3-handler
Java Market Data Handler for CME Market Data (MDP 3.0)
pupak250194/Physical-Methods-of-Biology---Enzyme-Reactions
Project for Physical Methods of Biology based on Kim JK, Tyson JJ (2020) Misuse of the Michaelis–Menten rate law for protein interaction networks and its remedy. PLoS Comput Biol 16(10): e1008258. https://doi.org/10.1371/journal. pcbi.1008258.