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bayesian_analysis_workflow

bayesian_backtesting

Various collection of scripts using Bayes Theorem to find probabilities and payoffs if a closing price of a stock follows certain patterns like down-down, up-up, etc.

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

bayesrobotloc

Simulation of Bayes filter (Recursive Bayes Estimation) for robot localization and tracking.

bayou

REPLICATED STORAGE - A prototype for replicated, eventually consistent storage system design implemented using flask, gRPC and redis.

bazaar

bb_rpb_tsl

A Trading strategy for the Freqtrade crypto bot.

bbvv

heroku kite

bc4py

blockchain imprementation by Python (kumacoin2.0 project)

bc_project1

EodHistoricalData First class project - woohoo

bc_project3

The repo for Bootcamp Project 3.

bcba-algo-trading

bcc

BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

bcpandas

High-level wrapper around BCP for high performance data transfers between pandas and SQL Server. No knowledge of BCP required!!

bcrypt

Modern(-ish) password hashing for your software and your servers

bdai_master

bdai_notebooks

Throw all your ad-hoc analysis, Jupyter notebooks, R scripts, all that junk in here

bdshare

A utility for crawling historical and Real-time Quotes data from Dhaka Stock Exchange (DSE) or Chittagong Stock Exchange (CSE)

bearalpha-example

This is a descriptive repository for bearalpha, indicating to elaborate the usage and the capabilities of bearalpha.

beastix

A BSD-style base system using linux kernel

beatbeatlarge

cursed logging stack

beatingendus

beautiquant

A quant trade platform by python.

beehive3

beehive3 FASTAPI

beiboot

Getdeck Beiboot is a Kubernetes-in-Kubernetes solution :rocket: It allows creating multiple logical Kubernetes environments within one :arrow_right: physical host cluster.

benchmark-websocket

Websocket Client and Server for benchmarks with Millions of concurrent connections.

benchmark_prophet

Implementation to run Benchmarks on Neural Prophet

benchmarker

Source code for several backend applications subjected for stress-testing

benjamin-graham-and-warren-buffett-model-stock-exchange-

There are about 4000 stocks which are actively traded on the stock exchanges at BSE and NSE. Can we extract public financial data from sites like moneycontrol.com to find which are the fundamentally strong stocks. On what stocks would the father of value investing, Benjamin Graham and Warren Buffett the most successful investors in the world make their investments on. Benjamin Graham and Warren Buffett Model Step 1: Filter out all companies with sales less than Rs 250 cr. Companies with sales lower than this are very small companies and might not have the business stability and access to finance that is required for a safe investment. This eliminates the basic business risk. Step 2: Filter out all companies with debt to equity greater than 30%. Companies with low leverage are safer. Step 3: Filter out all companies with interest coverage ratio of less than 4. Companies with high interest coverage ratio have a highly reduced bankruptcy risk. Step 4: Filter out all companies with ROE less than 15% since they are earning less than their cost of capital. High ROE companies have a robust business model, which generates increased earnings for the company typically. Step 5: Filter out all companies with PE ratio greater than 25 since they are too expensive even for a high-quality company. This enables us to pick companies which are relatively cheaper as against their actual value. He points out that applying these filters enables us to reduce and even eliminate a lot of fundamental risks while ensuring a robust business model, strong earning potential and a good buying price.

berkeley_fintech_module_13_challenge

Berkeley Fintech Module 13 Challenge