11+ Best Sources to Find Algorithmic Trading Strategies (Backtests, Papers, Podcasts etc)
Where to Find Trading Strategies: Best Resources, Research Papers, Podcasts & Tools
Today I want to talk more about something traders often ask: where do we find trading strategies?
I’ll show you the best places to look, so you can build a library of strategies that fit your process and risk tolerance.
Academic Research Papers on Trading Strategies
SSRN (Social Science Research Network)
One of the richest sources for trading strategy research papers is SSRN. Thousands of finance professors and quantitative researchers publish working papers that cover everything from momentum strategies to factor investing. Many of these strategies eventually make their way into hedge funds, giving retail traders a valuable edge.
Google Scholar & Financial Journals
If you’re hunting for peer-reviewed trading research, Google Scholar is a goldmine. Journals like the Journal of Finance and Review of Financial Studies regularly publish findings on portfolio optimization, algorithmic trading, and behavioral finance.
University Working Papers
Universities such as MIT, Chicago Booth, and London School of Economics also release working papers on trading strategies. These papers often include statistical models and performance results, giving you a solid foundation for testing your own strategies.
Podcasts for Learning Trading Strategies
Top Trading Podcasts to Follow
Podcasts are one of the easiest ways to absorb trading insights while on the go. Shows like The Algorithmic Advantage, Flirting with Models and Top Traders Unplugged offer interviews with professional traders and strategists.
Interviews with Professional Traders
Listening to traders discuss their wins, losses, and approaches can help you avoid costly mistakes. Unlike academic papers, these conversations reveal practical insights and psychological tips that are rarely discussed in research.
Books & eBooks on Trading Methodologies
Technical Analysis Books
Classics like Technical Analysis of the Financial Markets by John Murphy still serve as foundational resources. They teach traders how to identify trends, chart patterns, and price behaviors.
Quantitative & Algo-Trading Books
For systematic traders, books like Advances in Financial Machine Learning by Marcos López de Prado are essential. They provide the data-driven frameworks necessary to build algorithmic strategies.
Trading Communities & Forums
Reddit Trading Subreddits
Communities like r/AlgoTrading and r/quant provide real-time discussions and shared strategies from thousands of traders.
Elite Trader & Trade2Win
These classic trading forums have decades of discussion threads, strategy sharing, and expert commentary. (https://www.trade2win.com/forums/algorithmic-trading.370/)
Premium Platforms for Strategy Backtesting
If you’re looking for ready-to-use strategies with backtests, specialized platforms are the best choice.
SetupAlpha – RealTest Strategies & Backtests
SetupAlpha offers a collection of professionally developed strategies, backtested with RealTest software. Traders can browse, purchase, and test strategies that are already validated by data. (All strategies have 1–2 years of live (IBKR) out-of-sample data.)
Mean Reversion Strategies
One example is the RealTest Mean Reversion Trading Strategy . It allows traders to exploit short-term pullbacks with statistically proven entry and exit points.
Nasdaq 100 Stock Strategies
This strategy is not using limit orders. Only market on open orders.
More stats + read more + rules + RealTest code.
Parabolic Short-Selling Strategies (Kristjan Qullamaggie)
Aggressive traders might explore the Parabolic Short-Selling Strategy, a backtested approach to shorting overextended stocks.
YouTube Channels & Video Learning
Trading Tutorials
YouTube is home to thousands of trading educators who break down strategies step by step. Channels like Algovibes, Algo Trading With Kevin Davey, and SetupAlpha focus on technical analysis, trading psychology, and systematic approaches.
Many creators also publish real-time market breakdowns, allowing traders to see how strategies perform under current conditions.
Financial News Sites for Strategy Insights
Bloomberg & Financial Times
Financial news outlets like Bloomberg and FT provide up-to-date coverage of market-moving events. While they don’t hand out “plug-and-play” strategies, they deliver macroeconomic context essential for strategy development.
Seeking Alpha & Investopedia
On the other hand, websites like Seeking Alpha feature crowd-sourced analysis from traders and analysts. Investopedia is perfect for those starting out, with easy-to-understand guides on trading styles, risk management, and strategy design.
Open-Source Code Repositories
GitHub Quant Trading Projects
Developers and quant traders frequently share open-source Python, R, and C++ code for backtesting and algorithmic trading. Searching GitHub for terms like “mean reversion strategy” or “momentum model” can reveal complete codebases you can adapt.
Python & R Libraries for Trading
Libraries such as Backtrader, QuantConnect Lean, and R Quantmod allow traders to test and optimize strategies programmatically, making them ideal for quantitative research.
Newsletters & Research Services
Quantitative Research Newsletters
Subscribing to newsletters in Medium, Substack can provide curated, data-driven strategies every week.
Daily Market Strategy Briefings
Professional services like Morningstar Research or independent Substack newsletters offer actionable trade setups with fundamental or technical reasoning.
Social Media as a Strategy Source
Twitter/X Finance Community
X is a hub of traders, analysts, and quant researchers who share strategy snippets, charts, and insights. While not always reliable, following respected accounts can provide unique perspectives.
LinkedIn Groups for Quant Traders
LinkedIn is home to quant trading and algo-development groups where professionals share research, strategy frameworks, and even job opportunities.
Combining Multiple Sources into a Strategy
Backtesting for Validation
Whether your strategy comes from a podcast, GitHub, or SetupAlpha, the most important step is backtesting. Without testing, even the most convincing strategy is just a theory. Platforms like SetupAlpha help traders access pre-tested strategies, saving time and reducing risk.
Avoiding Information Overload
With so many sources papers, podcasts, YouTube, forums it’s easy to get overwhelmed. Successful traders specialize in one or two approaches and refine them over time, rather than chasing every new strategy.
Building a Reliable Trading Strategy Knowledge Base
The best trading strategies don’t come from a single source. Instead, successful traders blend academic research, professional backtesting tools, real-world trader insights, and personal testing to create an approach that fits their goals.
Whether you prefer academic papers on SSRN, discussions on podcasts, open-source code from GitHub, the key is to test, adapt, and stay consistent.
By curating your own library of resources, you’ll build not just strategies but a sustainable trading edge. That’s how I do it.
About us:
We help traders and funds build strong, automated trading strategies and portfolios that save time and reduce stress without wasting years coding and researching: https://setupalpha.com/
