Pinned Repositories
betfair
Lightweight python wrapper for Betfair API-NG (with streaming)
betfair-price-fetcher
Scripts I used for gathering data for algorithmic trading (before Exchange Stream API).
betfair-strategy-tester
A simple python framework for creating and simulating betting strategies against betfair soccer data in Match Odds markets.
Betting-Arbitrage
Arbitrage Alert scanner. Scans odds across Betfair, Pinnacle, William Hill, bet365, Bookmaker, BetOnline, The Greek Sportsbook, JustBet, SportsInteraction, WagerWeb, 5Dimes
Quantdom
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
pedrobf777's Repositories
pedrobf777/betfair
Lightweight python wrapper for Betfair API-NG (with streaming)
pedrobf777/Quantdom
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
pedrobf777/abettor
An R package for connecting to the online betting exchange Betfair, via their API-NG product, using JSON-RPC.
pedrobf777/algotrader
Simple algorithmic stock and option trading for Node.js.
pedrobf777/arbitrage-wizard
Calculate potential profit, required outlay, and implied odds when arbitrage opportunities arise between Bookmakers and Betfair
pedrobf777/aus_open_datathon_2019
Datathon run by betfair for the Australian open
pedrobf777/awesome-piracy
A curated list of awesome warez and piracy links
pedrobf777/betfaiR-1
R package for the Betfair API
pedrobf777/Betfair-Analysis
pedrobf777/BetFair-AO-Datathon
EDA of BetFair tennis data for the 2019 AO Datathon competition
pedrobf777/Betfair-Australian-Open-Datathon-
This project uses advanced techniques of data cleansing, machine learning and time series to model the tennis data; sports modelling.
pedrobf777/betfair-data-analysis
Explore, analyse and visualise Betfair Historical Data Feed using PySpark.
pedrobf777/betfair-datascientists.github.io
Documentation, guides and articles on creating, developing and implementing automated betting strategies, using data analysis to inform betting models and how to interact with the Betfair API. View online:
pedrobf777/Betfair-Downloader
Selenium Script to download all from betfair
pedrobf777/betfair-notifications
monitoring cli for the betfair api
pedrobf777/Betfair-Sportsbook-Scraper
Scraper for my own personal use, made for scraping "www.betfair.es" for soccer matches. I don't particularly think the code is pretty - but hey, it works.
pedrobf777/betfair-stream-api-python-docs
This repo has the docs obtained from swagger for the Betfair API.
pedrobf777/Betfair-World-Cup-Datathon
Build predictive model to predict match outcomes of group phase of 2018 World Cup
pedrobf777/betfair_data
Simple script to collect market data from Betfair.
pedrobf777/Betfair_promo_data
Betfair offers free data from the following url, https://promo.betfair.com/betfairsp/prices/index.php. Repository has R script for gathering, appending csv files for Australian races (win market) and cleaning data into a format ready for analysis
pedrobf777/Betfair_world_cup_datathon
Betfair World Cup Datathon 2018
pedrobf777/betfairData
pedrobf777/BetfairTrader
engine to trade on betfair
pedrobf777/bfscraper
Scrapes Betfair price data (BSP, WAP etc) for Australian horse racing
pedrobf777/Customer-Churn-Analysis
For the last few years Betfair is losing too many customers and is finding a solution to retain its customers. Aim of this project is to build a customer churn model to predict the customers who are about to get churned so that Betfair can implement different business strategies to retain those customers before they actually leave. The tools I am using for this analysis are R-studio and Tableau. Package mlr was chosen as the modeling package. The data for the purpose of prediction was provided by Betfair. After proper data exploration and visualization, important features for the customer churn prediction model was identified. The 8 different classification models were applied on the data in separate steps of configuring the learner task, making the learner, training the learner, prediction and performance evaluation. Out of the 8 different models, Random Forest was chosen as the best model. Cross-validation was done using random forest was done and obtained a mean miss classification error rate of 0.1278126. Hyper-parametric tuning of the random forest model was performed using package mlrHyperopt. There was only 0.05% improvement in the model accuracy after Hyper-parametric tuning. The model obtained is good enough to predict the customers who are about to fall in the churned customer category. Applying this model on the real-time data in Betfair can save huge money in revenue.
pedrobf777/docker-spark-standalone
Spark Standalone (on Docker)
pedrobf777/flumine
flūmine - Betfair data record framework utilising streaming to create a simple data recorder
pedrobf777/node-binance-trader
Cryptocurrency Trading Bot Development Framework for the Binance exchange. Follow open NBT trading signals at
pedrobf777/TradingGym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
pedrobf777/Zerodha_Live_Automate_Trading-_using_AI_ML_on_Indian_stock_market-using-basic-python
Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊