Ultimate List of Automated Trading Strategies You Should Know - Part 1

So many types of automated trading use-cases

Since the public release of Alpaca’s commission-free trading API, many developers and tech-savvy people have joined our community slack to discuss various aspects of automated trading. We are excited to see many have already started running algorithms in production, while others are testing their algorithms with our paper trading feature, which allows users to play with our API in a real-time simulation environment.

When we started thinking about a trading API service earlier this year, we were looking at only a small segment of algo trading. However, the more users we talked with, the more we realized there are many use cases for automated trading, particularly when considering different time horizons, tools, and objectives.

Today, as a celebration of our public launch and as a welcome message to our new users, we would like to highlight various automated trading strategies to provide you with ideas and opportunities you can explore for your own needs.

Please note that some concepts overlap with others, and not every item necessarily talks about a specific strategy per se, and some of the strategies may not be applicable to the current Alpaca offering.

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Commission-Free API Stock Brokerage Is Finally Here

The World’s First Commission-Free Algo Trading Platform

San Mateo, CA — Oct. 23, 2018 — Alpaca Securities LLC (“Alpaca“), a Silicon Valley based API stock brokerage for developers and bots, today launched the world’s first commission-free trading platform where individuals can easily use algorithms, trading bots and artificial intelligence in their investing and trading activities.

“Alpaca is going to transform stock trading by making available to retail traders all of the technology and science that has transformed institutional trading,” said Yoshi Yokokawa, CEO and co-founder of Alpaca, which is an SEC and FINRA registered broker-dealer.

“In the beginning, individual coders who build algorithmic strategies will be able to connect those algorithms with our commission-free trading API and begin trading on our platform. Over time, we’ll make algorithmic investment strategies available there to non-coder investors who want to manage their investment with customizable strategies such as automated asset allocation and rebalancing strategies, and they’ll never have to manually execute a buy or sell order again.”

Alpaca has been notifying some in the trading and developer community of its impending launch and already more than 4,000 accounts have registered on a waiting list. The large number of accounts attracted to the Alpaca is another indication of the surge in interest in algorithms for trading over the past few years.

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Python Library To Run Quantopian Algorithm In Live

One of the things many people have asked Alpaca during the beta program is how to run the algorithms that they built in Quantopian platform for their own purpose, not just for the contest. While Quantopian has built so much in the platform, they are so great to share the internal framework as open source zipline.

The Newest Open Source Libraries for Quantopian Users

Today, I wanted to share our newest open source libraries for Quantopian users; pylivetrader and pipeline-live.

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Algo Trading News Headlines 9/18/2018

5 Reasons Why Cryptocurrency Trading Bots Are So Popular

(www.cryptodisrupt.com)

“Have you been considering using cryptocurrency trading bots or are looking for a way to get involved with crypto trading on exchanges? Many people are thinking the same as you. Here are five reasons why trading bots are so popular.”

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Algo Trading News Headlines 9/17/2018

The who, how and why of high-frequency crypto trading

(www.bravenewcoin.com)

According to the Financial Times, several leading high-frequency trading houses, including DRW, Jump Trading, DV Trading, and Hehmeyer Trading have entered the crypto asset markets last year. Several newly-launched crypto hedge funds are also using algorithmic trading strategies to generate a return on investment for their investors.

Dutch high-frequency trading house, Flow Traders BV, also recently made a move into the crypto markets, according to Bloomberg. The Amsterdam-based company is making markets in exchange-traded notes linked to bitcoin and ether due to strong investor demand for crypto investments.

Photo by  Marc Szeglat  on  Unsplash

JP Morgan Says Severe Crisis to Arrive in 2020

(www.nasdaq.com)

The consensus is that there will be a major “liquidity crisis” with huge selloffs in major asset classes, and no one to step in to buy. The losses will be exacerbated by the shift to passive management and the rise of algorithmic trading. JP Morgan says that the Fed and other central banks may even need to directly buy stocks, and there could even be negative income taxes. The bank thinks the crisis will hit sometime after the first half of 2019, most likely in 2020.

Billionaire who once built robots to trade goes to war with them

(www.economictimes.com)

Thomas Peterffy helped launch the electronic-trading revolution that transformed the US stock market. And while the billionaire hasn’t soured on automation, he’s taking a lead role fighting back against the speediest traders. 

Interactive Brokers Group Inc. announced Wednesday that it will list its shares on an exchange run by IEXNSE 0.06 %Group Inc., which was made famous by Michael Lewis in “Flash Boys.” The 2014 book documented the market’s efforts to use a 350-microsecond speed bump to eliminate advantages IEX believed the fastest traders had in US stocks. When shares of Interactive Brokers move over from Nasdaq Inc., it will be IEX’s first win in its delayed plan to list corporations.

Quant Strategy in Emerging-Market FX Posts Best Run in Six Years

(www.bloomberg.com)

A Nomura index that mimics a trend-following strategy by chasing momentum in 10 EM currencies against the dollar has outperformed the JPMorgan Emerging Market Index by nearly 20 percentage points so far this year.

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Algo Trading News Headlines 9/12/2018

Millennium Shuts Down Pioneering Quant Hedge Fund

(www.bloomberg.com)

The closing of Prediction Company, which Millennium bought in 2013, came as a surprise to employees because the firm was profitable, according to a person familiar with the matter. The hedge fund was started by Doyne Farmer and Norm Packard, who are known for their seminal work in developing chaos theory, and managed about $4 billion at its peak.

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