# quantopian main page

https://www.quantopian.com/

https://www.quantopian.com/faq

https://www.quantopian.com/help

# add account

https://www.quantopian.com/account#trading

# github home

https://github.com/quantopian

https://github.com/quantopian/zipline

http://zipline.io/

# Contribution Requests

https://github.com/quantopian/zipline/wiki/Contribution-Requests

# quantopian algos - old

https://github.com/quantopian/quantopian-algos

# Zipline in the Cloud - code for presentation by Thomas Wiecki

# describes Bayesian Optimization via Gaussian Processes

http://nbviewer.ipython.org/github/twiecki/zipline_in_the_cloud_talk/blob/gh-pages/Zipline%20in%20the%20Cloud%20--%20PyData%2013.ipynb

# Jessica Stauth - VP Quant Strategy @quantopian

https://www.quantopian.com/users/50f97faeaa4b3d78fd0000ee

# Alisa Deychman

https://www.quantopian.com/posts/assigning-max-notional-to-value-of-total-cash-in-portfolio

# Grant Kiehne - active user

https://www.quantopian.com/users/4f005d1b5e32ee000b000001

https://github.com/gkiehne/quantopian

https://www.quantopian.com/posts/finite-state-machine-in-python

# Anony Mole - sounds experienced

https://www.quantopian.com/users/50e91684917ddce675000101

https://www.quantopian.com/posts/another-way-to-rebalance-simple-price-and-volume-return

# censix on quantopian

https://www.quantopian.com/users/51349dedd08eef63e500012a

# Peter Cawthron - active user

https://www.quantopian.com/users/50b24ec26d284c0200000088

# Alexander Izydorczyk - student at Wharton

https://www.quantopian.com/users/505cd9730106e00002000057

http://blog.quantopian.com/upgrade-capital-competitor-alexander-izydorczyk/

https://www.linkedin.com/pub/alexander-izydorczyk/59/907/863

https://www.quantopian.com/posts/can-naivebayes-tell-us-anything-about-momentum-trading#51265f83f9d6c327a00001ff

# code for machine learning training and validation sets

https://www.quantopian.com/posts/machine-learning

http://blog.quantopian.com/upgrade-capital-competitor-neal-basumullick

# Upgrade Capital is a talent scout - partnership with Fortress

http://upgradecapital.com/

http://blog.quantopian.com/algorithm-development-competition-with-upgrade-capital/

# good strategies

http://blog.quantopian.com/5-basic-quant-strategies-implemented-by-the-quantopian-community/

https://www.quantopian.com/posts/mebane-faber-relative-strength-strategy-with-ma-rule

https://www.quantopian.com/posts/rules-based-sector-rotation-strategy-based-on-mebane-faber-research

https://www.quantopian.com/posts/ernie-chans-ewa-slash-ewc-pair-trade-with-kalman-filter

https://www.quantopian.com/posts/modern-portfolio-theory-minimum-variance-portfolio

# building custom indicator

https://www.quantopian.com/posts/building-custom-indicator-in-quantopian

# Random Forest

https://www.quantopian.com/posts/machine-learning-turn-$10k-into-2-dollars-dot-25m-in-two-years-plus-22407-percent-returns-by-trading-brk-a-berkshire-hathaway-with-random-forest

# paper trading

https://www.quantopian.com/help#overview-papertrading

# live trading

https://www.quantopian.com/posts/paper-trading-with-interactive-brokers-open-beta-launch

# algo simple monthly rebalance

https://www.quantopian.com/posts/diversified-portfolio-monthly-rebalance-for-live-trading

# Live results vs. backtest results at a glance

https://www.quantopian.com/posts/live-results-vs-backtest-results-at-a-glance

# fetcher from Quandl

https://www.quantopian.com/posts/how-to-use-the-fetcher-from-quandl-dataset-to-backtest-the-strategy-via-quantopian#535866dc2715c337bf0000be

# major contributor: Eddie Hebert

https://github.com/ehebert

# major contributor: Thomas Wiecki

https://github.com/twiecki

# Tutorial scripts for PyData Boston 2013

https://github.com/twiecki/financial-analysis-python-tutorial

# Pandas replication of Google Trends paper

https://github.com/twiecki/financial-analysis-python-tutorial/blob/master/2.%20Pandas%20replication%20of%20Google%20Trends%20paper.ipynb

# PyMC3 Bayesian fitting and estimation of statistical models to data

https://github.com/twiecki/pymc3_talk

# Theano Python compiler for multi-dimensional arrays

http://deeplearning.net/software/theano/

https://pypi.python.org/pypi/Theano

# A community for developers and users of Python data tools

http://pydata.org/

# PyrexGsl provides a Pyrex interface for the GNU Scientific Library (GSL).

# Pyrex is a language for writing code that mixes Python and C data types, and compiles it into a C extension module for Python.

http://wwwteor.mi.infn.it/~pernici/pyrexgsl/pyrexgsl.html

https://sites.google.com/a/brown.edu/lncc/home/members/thomas-wiecki

http://twiecki.github.io/

# The ideal system

user can define strategies in R language

screening on fundamental data

econometric time series data

strategies can consume a variety of time series data

price quotes and ticks

price bars OHLC

sentiment indicators

Google trends

aggregations

VWAP

median

regularization

validation in rolling window

be tested