A Comprehensive List of Tools for Quantitative Traders - QuantPedia (2024)

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A Comprehensive List of Tools for Quantitative Traders

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Quantpedia has partnered with the best Historical Data and Backtesting Software providers around the globe. Thanks to these exclusive partnerships, we can offer our readers Data Discounts and Software Discounts on all high-quality sources listed on the left.

A Comprehensive List of Tools for Quantitative Traders - QuantPedia (2)

EOD Historical Data

EOD Historical Data is one of the best value-to-price providers of historical stocks, ETFs, bonds, currencies, futures, options and cryptocurrencies data in the world.

What EOD Historical Data offers?

30+ years of Financial Data including:

  • End-of-day Data API. Bulk downloads for the entire exchange, automatic adjustments to splits and dividends.
  • Fundamental Data API. 20+ year of financial reports including earnings, balance sheets, income statements, cash flows, corporate actions.
  • Intraday Data API. Including pre- and post- market data for US tickers.
  • Technical API with 20+ technical indicators calculated on-the-fly.
  • Macroeconomic API
  • Exchange trading hours API and everything you need for stock market analytics.
  • Windows Downloader, Excel/VBA plugins and WordPress plugins for no-coding easy start.

What is the price of EOD Historical Data?

EOD Historical Data Discount

37% EOD Historical Data Promo code automatically applies at: https://eodhistoricaldata.com/pricing-quantpedia

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StrategyQuant

StrategyQuant is a modern, easy-to-use and fully customizable Machine Learning strategy builder, backtester, optimizer and robustness tester. StrategyQuant offers full solution for Algo trading strategy testing, validation and optimization.

What StrategyQuant offers?

  • Build, re-test, improve and optimize Quant trading strategies
  • Walk-forward optimizer and cluster analysis tools
  • Automatic overfitting tests and Monte carlo analysis
  • Multi-timeframe and Multi-market backtester
  • More than 40 indicators, price patterns, etc.
  • Free historical tick data
  • Point & click interface, no programming skills needed

What is the price of StrategyQuant?

StrategyQuant Discount

10% StrategyQuant Promo code: QUANTPEDIA10

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QuantConnect

Founded in 2012, QuantConnect is the world’s leading algorithmic trading technology. Build, test, and trade your quant trading ideas in minutes on our C# or Python platform.

What QuantConnect offers?

  • Enormous data library for your research, covering financial, fundamental, and alternative data sources. Data is cleaned, preformatted, and updated daily.
  • Accurate, customizable, event-driven backtesting engine models ten asset classes with a deep API for stock screening, signal creation, and portfolio management.
  • Robust, battle-tested platform trusted by billions in institutional capital.
  • With no code changes, deploy your strategy to any of the 1,300 brokerages in our institutional grade, co-located, live-trading environment.

What is the price of QuantConnect?

  • RESEARCHER package: Original price: $96/year
  • TEAM package: Original price: $240/year
  • TRADING FIRM package: Original price: $480/year
  • INSTITUTIONAL package: Original price: $960/year

QuantConnect Discount

QuantConnect offers our readers a free 7-day trial on all QuantConnect features (Backtest, Jupyter Research, Live Nodes).

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QuantRocket

QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. QuantRocket provides multiple backtesting tools, supports global markets, and is fast and flexible.

What QuantRocket offers?

  • Multiple backtesters: QuantRocket’s toolset includes Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester.
  • Global markets: Access over 70 international markets, with support for equities, futures, and FX.
  • Deploy anywhere: Built on Docker, QuantRocket can be deployed locally, to the cloud, or inside your VPN.
  • Powered by Python: Learn and use the same ecosystem of Python packages that most quantitative finance professionals use, including pandas, numpy, Matplotlib, scikit-learn, and others.
  • Flexible and customizable: Write custom scripts, import custom data, install custom packages, or connect custom applications. QuantRocket has an open architecture that can be adapted to the unique requirements of your trading strategies.

What is the price of QuantRocket?

QuantRocket Discount

QuantRocket offers our readers a full-access, 7-day free trial. Mention discount code QUANTPEDIA.

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Orats

Orats is basically an all-in-one Option Backtesting and data provider, since 2001. Orats has recently introduced one of the most innovative and modern Option Backtesters, called Wheel. Orats also offers high quality historical option quotes and API.

What Orats offers?

Wheel Backtester:
  • Full options package for backtesting, scanning, trading, and risk analysis of options.
  • Test your strategies before trading them in the market.
  • Tweak your criteria, like delta and days to expiration and hundreds more triggers.
  • The Backtester simulates an option strategy using daily data back to 2007.
  • Backtester samples, instructions, videos, and tutorials are available.
Historical Option Quotes:
  • Historical near end-of-day quotes back to 2007 via FTP
  • Live 1-minute snapshots and history back to August 2020
Options Data API:
  • Market data and historical
  • Unlimited symbols
  • 20,000 API Calls Per Month

What is the price of Orats?

Orats Discount

33% to 66% Orats Promo code automatically applies at: https://orats.com/quantpedia

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QuantInsti

QuantInsti is a leading provider of algo-trading courses. QuantInsti offers broad range of trading, portfolio management, risk management, data analysis as well as coding courses for equities, FX, options, futures and many more.

What QuantInsti offers?

  • Equity, Options, FX & Futures Strategies
  • Market Microstructure for Trading
  • Data Analysis & Modeling in Python
  • Machine Learning for Trading
  • Portfolio Management and Risk Management
  • Certifications, Self-paced courses, Training sessions

What is the price of QuantInsti?

Prices vary based on the specific course. As a reader of Quantpedia, you will always enjoy an additional 5% QuantInsti discount on all courses with the Quantra discount code: QUANTPEDIA

QuantInsti Discount

5% QuantInsti Promo code: QUANTPEDIA

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DELTARAY

Deltaray’s MesoSim is an options strategy simulator with unique flexibility and performance. Create, backtest, and optimize Options Trading Strategies on Equity Index (SPX, RUT, VIX) Options and Crypto Options at a lightning-fast speed.

What Deltaray’s MesoSim offers?

    • MesoSim comes with over 20 built-in, ready-to-use Strategy Templates, such as Straddles, Iron Condors, Calendars, and more.

Deltaray Discount

  • MesoSim DELTARAY is offering a $30 discount for annual subscriptions on the first purchase via coupon code: QUANTPEDIA30
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Whale Wisdom

Whale Wisdom is an excellent tool for tracking Hedge Funds’ and Institutional Investors’ positions and trades. Whale Wisdom provides more than 20 years of data on 13F disclosures, holdings and insider trading. Whale Wisdom also serves as an analytical platform to identify and analyze money-making trading strategies based on this data.

What Whale Wisdom offers?

Research & Replicate Portfolios of the World’s Best Investors:

  • Monitor Hedge Funds using the 13F filings and Data from the Whales
  • Insider transactions, Email alerts
  • Fund and transactions screener
  • Advanced trading strategies Backtester

What is the price of Whale Wisdom?

Whale Wisdom Discount

5% Whale Wisdom Promo code: quant5

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Polygon

Polygon.io is a leading historical data provider with institutional-level quality of datasets. Polygon offers End of day, Intraday, and Level 2 Book data for Stocks, FX, Crypto and Options delivered via unlimited API or csv.

What Polygon offers?

20+ Years of Historical Market Data for Equities, Forex, Crypto and Options:

  • Trade Ticks – Polygon provides each and every trade message from all main Exchanges and Darkpools
  • Quote Ticks – Top of book quotes give you information into the sitting orders at the exchanges to provide insight for the next execution price.
  • Aggregates – Both unadjusted and adjusted aggregates are able to be generated in any size time window from 1min – 1 year. You can finally get the exact time windows you want, no matter the size.
  • Flat Files – Polygon also provides raw monthly tick data in CSV format.
  • Fundamental data, Corporate actions, Realtime data

What is the price of Polygon Data?

Prices range from $19/month to $200/month. As a reader of Quantpedia, you will always enjoy an additional 5% Polygon data discount on all Polygon.io datasets with the Polygon dicsount code: QUANTPEDIA

Polygon Data Discount

5% Polygon Promo code:QUANTPEDIA

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Price Action Lab

Price Action Lab is a great tool for building new quantitative strategies. It’s Deep Learning Price Action Lab engine is designed to both identify price action anomalies and then build strategies around them and backtest them properly.

What Price Action Lab offers?

Demo-version are available here: https://www.priceactionlab.com/Blog/price-acton-lab-software-demo/

DLPAL DQ:

  • Quantitative scanner of price action anomalies used by quant discretionary traders.
  • Identifies parameter-less strategies.
  • Robustness test validations.
  • For discretionary traders who like to scan many securities each day for price action anomalies and also like to make the final decisions instead of following a system.

DLPAL LS:

  • Directional and long-short strategy builder and backtester.
  • Identifies long and short candidates by unsupervised learning from price action.
  • Securities ranking by measuring directional bias.
  • Supports API strategy execution.
  • Useful for both systematic and discretionary equity long/short trading but also directional trading in other markets.

DLPAL S:

  • Identifies and tests for Short-Term Price Action Anomalies with user-defined risk/reward parameters.
  • For systematic quant trading strategy developers who follow systematic signals in all timeframes
  • Automatically generates code for strategies. No programming necessary.

What is the price of Price Action Lab?

  • DLPAL DQ: Original price: $4000, Quantpedia’s price $3200
  • DLPAL LS: Original price: $4000, Quantpedia’s price $3000
  • DLPAL S: Original price: $3000, Quantpedia’s price $2400

Price Action Lab Discount

20% Price Action Lab Promo code: please email priceactionlab@quantpedia.com to get the 20% PAL discount.

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Portfolio123

Portfolio123 is a legendary bias-free stock picking backtester. Portfolio123 uses Factset’s and Compustat’s point-in-time stock database which ensures no survivorship or any other bias. You can test virtually any stock picking strategy in Portfolio123. This tool is a must for any beginning or advanced stock investor.

What Portfolio123 offers?

  • Screener for Global Stocks & ETFs (daily)
  • Point-in-time price and fundamental data since 1999
  • Long/short strategies, price/fundamental driven signals
  • Multi-factor ranking, investing, rolling tests and optimizer
  • Multi-strategy tester and simulator

What is the price of Portfolio123?

Portfolio123 Discount

5% Portfolio123 Promo code: QUANTPEDIA5

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Quiver Quantitative

Quiver Quantitative offers one of the most affordable uncrowded alternative data on the market. Quiver Quantitative provides data on Congress, Senate and House trading, Government contracts, Corporate Lobbying, Off-exchange trading activity, Wikipedia Pageviews, App ratings, WallStreetBets, Reddit’s r/SPACs, Twitter, Patents and many more via their API.

What Quiver Quantitative offers?

  • Senate and House Trading Data
  • Wikipedia Page Views Data
  • WallStreetBets Data
  • Government Contracts Data
  • Corporate Flights Data
  • Work Visas Data
  • InvestorsHub Discussions Data
  • Corporate Lobbying Data, and many more…

What is the price of Quiver Quantitative?

Quiver Quantitative Discount

5% Quiver Quantitative Promo code:QUANT5

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InvestVerte

InvestVerte is an independent ESG and corporate governance research, rating, and analytics company that provides information to help investors around the world make the best investment decisions. Created in 2020, InvestVerte is a young, innovative company that builds on firm foundations, adaptability, and artificial intelligence.

What InvestVerte offers?

  • InvestVerte specializes in a “quantamental” approach to generate alpha for ESG portfolios with machine learning, AI, and NLP technologies – see InvestVerte methodology in the article Grading and Merging ESG Scores from Multiple Providers
  • InvestVerte Entry Level Package contains ESG data for the 30 biggest market capitalization stocks from one of the main indexes like CAC40, DAX, STOXX 50, FTSE100, Hang Seng Index, NYSE Composite, Nasdaq etc.

What is the price of InvestVerte?

  • InvestVerte Entry level package: Original price: $9990/year, Quantpedia’s price $7990/year

InvestVerte Discount

20% InvestVerte Promo code: QUANTPEDIA20, please email investverte@quantpedia.com to claim the discount.

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    A Comprehensive List of Tools for Quantitative Traders - QuantPedia (2024)

    FAQs

    What are the quantitative tools for trading? ›

    Quantitative traders use quantitative tools, such as oscillators and moving averages, to create their own quantitative trading systems. There are other modern technologies, mathematics, and the availability of comprehensive databases that quantitative traders use to make rational trading decisions.

    What software do quantitative traders use? ›

    Quants often need to code in C++, in addition to knowing how to use tools like R, MatLab, Stata, Python, and to a lesser extent Perl.

    Do quant researchers use C++? ›

    Python, MATLAB and R

    Quant traders/researchers write their prototype code in these languages. These prototypes are then coded up in a (perceived) faster language such as C++, by a quant developer.

    Can you do quant trading by yourself? ›

    The required skills to start quant trading on your own are mostly the same as for a hedge fund. You'll need exceptional mathematical knowledge, so you can test and build your statistical models. You'll also need a lot of coding experience to create your system from scratch.

    What are two common quantitative tools? ›

    Examples of common quantitative tools are:
    • Surveys.
    • Questionnaires.
    • Observation checklists.
    • Physical tests.

    What is quantitative tools and techniques? ›

    The quantitative method is a research approach that emphasizes using numerical measurements and statistical analysis to understand phenomena. This method involves collecting data that can be quantified and subjecting it to various statistical techniques to test hypotheses or explore relationships between variables.

    What code do quant traders use? ›

    C++, Java, Python, and Perl are a few commonly used programming languages. Familiarity with tools like MATLAB and spreadsheets, and concepts like big data and data structuring, is a plus.

    Which software is best for quantitative data analysis? ›

    Software for Data Analysis
    • Excel.
    • Stata.
    • SPSS.
    • SAS.
    • JMP.
    • MATLAB.
    • Python.
    • Python Libraries.
    Feb 15, 2024

    Do quant traders use Python? ›

    With the rise of algorithmic trading, Python has become a popular language for developing and implementing quantitative strategies. In this article, we'll explore the top 10 profitable quant trading strategies using Python.

    What Phd do quants have? ›

    Most firms look for at least a master's degree or preferably a Ph. D. in a quantitative subject, such as mathematics, economics, finance, or statistics. Master's degrees in financial engineering or computational finance are also effective entry points for quant careers.

    Do quants need SQL? ›

    Quantitative trading techniques also include high-frequency trading, algorithmic trading and statistical arbitrage. Necessary Skills: a strong background in programming skills in Python, C++, SQL, R, and/ or Java.

    What is the best programming language for quant trading? ›

    Python is a popular choice for stock analysis due to its ease of use, versatility, and extensive library support. Python's libraries such as NumPy, Pandas, and Matplotlib are particularly useful for analyzing and visualizing financial data.

    Can you be a self taught quant trader? ›

    Undertaking self-study to become a quantitative analyst is not a straightforward task. Depending upon your background, aptitude and time commitments, it can take anywhere from six months to two years to be familiar with the necessary material before being able to apply for a quantitative position.

    How much do quants get paid? ›

    How Much Do Quant Jobs Pay per Year? $134,500 is the 25th percentile. Salaries below this are outliers. $199,000 is the 75th percentile.

    What is the math behind quant trading? ›

    “In order to research the data, run tests, and implement the trade, you should understand a few different mathematical concepts.” This includes calculus, linear algebra, and differential equations, and probability and statistics.

    What tools do quantitative analysts use? ›

    Quantitative Analysis Tools
    • Microsoft Excel. (Supported by Library Staff) Microsoft Excel is a popular spreadsheet application that is a part of the Microsoft Office Suite. ...
    • R. (Supported by Library Staff) ...
    • Stata. (Supported by Library Staff) ...
    • SPSS. (Supported by Library Staff) ...
    • SAS. (Supported by Library Staff)
    Apr 2, 2024

    What are quantitative assessment tools? ›

    Quantitative assessment tools focus on countable values. They evaluate the individual's skills, knowledge, and performance based on specific standards by matching outcomes with goals.

    What is a quantitative measurement tool? ›

    Quantitative measurement is measurement of data that can be put into numbers. The goal of quantitative measurement is to run statistical analysis, so data has to be in numerical form. In Carrie's case, her data is already quantitative; so is data like blood pressure, height, or age.

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