Name: Laeeth Isharc
Type: User
Company: Kaleidic Associates Advisory Limited
Bio: Hacker, trader, aspiring live player. Former co-CEO / Executive Committee member of Symmetry Investments ($11bn hedge fund) where I directed tech across firm
Twitter: Laeeth
Location: London
Blog: http://blog.laeeth.com
Laeeth Isharc's Projects
Tools to turn .NET libraries into native libraries that can be consumed on Android, iOS, Mac, Linux and other platforms.
emscripten D-man demo.
🤩 Emoji shellcoding tools for RISC-V (32-bit and 64-bit)
emscripten clang
Base language version of the Tour
Privacy-preserving epidemic dosimeter based on DP-3T contact tracing
Continuous time Markov epidemic models implemented in D and wrapped in Python
A simple evolutionary strategies package for D
A common library for D language programs
Written for the "D" programming language, this library implements a variant of the pub/sub pattern, using events, an event list and event dispatchers
D bindings to Evince (GNOME's Document viewer)
MS Exchange integration through Exchange Web Services
A C++11 header-only library for Microsoft Exchange Web Services
fofof
Example grammars for parsing work
Roughly translate some Excel spreadsheets to Ruby or C.
Python client for Microsoft Exchange Web Services (EWS)
Plugins to clang-analyzer and clang-frontend
A host application to host the new .NET Core Crl
C# reflection wrappers that provide portable, faster, and more natural APIs
Library for fast text representation and classification.
fcc is the compiler for Neat, my D-lite language.
Browser plugin Fd Cypress Recorder captures user interactions and generates Cypress test code.
RSS to Email Webapp (Python, AppEngine)
D RSS 2.0 and Atom 1.0 feed generator
Cross-platform Total Commander-like orthodox file manager for Windows, Mac and Linux
tabular-file reader library in D
We use advanced machine learning techniques to build models that correlate planet cycles and aspects (cosmic energy) with markets price action to forecast the daily trend direction. Join our discussions at Telegram:
We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram: