quantlabs alternatives: newsletters like it

SubstackSeveral times a week · last post 6 days ago

Let's be real: the trading space is packed with hype and clickbait content that makes it nearly impossible to find what actually matters. Through this newsletter (and our accompanying video series), we're taking the…

Likely audience: Indian retail investors

2 shared topics

SubstackEvery two weeks · last post 18 days ago

From recent posts: The Rogue Quant publishes weekly quantitative trading strategies, backtesting analyses, and institutional market data interpretations for algorithmic traders and retail investors interested in algorithmic trading…

Likely audience: Quantitative traders

2 shared topics

SubstackWeekly · last post 5 days ago

From recent posts: PyQuant News publishes Python tutorials and quantitative finance articles focused on algorithmic trading, risk metrics, and backtesting strategies using tools like Zipline and Polars. The publication targets developers…

Likely audience: algorithmic traders

2 shared topics

SubstackEvery two weeks · last post 15 days ago

The only English-language sell-side research on banks and capital markets in Azerbaijan, Georgia, Uzbekistan, Kazakhstan and Turkey

Likely audience: financial analysts

2 shared topics

SubstackSeveral times a week · last post 5 days ago

From recent posts: Quant Enthusiasts publishes in-depth articles on hedge fund compensation, internal structures, and the quantitative finance hiring process. The publication targets professionals and candidates seeking detailed insights…

Likely audience: Quantitative finance professionals

1 shared topic

SubstackSeveral times a week · last post 6 days ago

From recent posts: My Weekly Stock publishes weekly momentum trading strategies and market recaps using proprietary algorithmic analysis to select stocks across the Dow, large caps, and Nasdaq. The publication targets retail and…

Likely audience: Active traders

1 shared topic

SubstackWeekly · last post 5 days ago

From recent posts: Alpha in Academia publishes academic research papers and data-driven articles focused on quantitative finance, labor economics, and market anomalies. The content targets investors and professionals seeking…

Likely audience: Financial analysts

1 shared topic

SubstackEvery two weeks · last post 11 days ago

From recent posts: This publication delivers quantitative trading frameworks, including event-driven alpha extraction, macroeconomic forecasting, and statistical arbitrage, with code and research methodology. It targets professional…

Likely audience: quantitative traders

1 shared topic

SubstackSeveral times a week · last post 9 days ago

From recent posts: QuantSeeker publishes weekly research recaps and deep-dive articles on quantitative investing, covering equity valuation, fixed income, cryptocurrency analysis, and behavioral finance. The content targets investors…

Likely audience: Financial analysts

1 shared topic

SubstackWeekly · last post 6 days ago

From recent posts: Algomatic Trading Database publishes in-depth articles on intraday and futures trading strategies, backtesting methodologies, and portfolio risk management for systematic traders. The content focuses on technical…

Likely audience: Quantitative traders

1 shared topic

SubstackMonthly or less · last post Sep 3, 2026

The best quant trading papers of the week!

Likely audience: Quantitative traders

1 shared topic

SubstackMonthly or less · last post Aug 31, 2026

A library of trading strategies in short and informative articles. You'll have a new strategy every week (52/year), occasional python code and access to the full archive. Join Us!

Likely audience: Algorithmic trading enthusiasts

1 shared topic

SubstackWeekly · last post 6 days ago

Algoflows Capital offers expert market analysis and commentary to help you stay ahead of the curve. We provide weekly market plans, real-time insights on Discord, and overnight analysis. Our focus includes CME markets…

Likely audience: Individual investors

1 shared topic

SubstackMonthly or less · last post 25 days ago

From recent posts: Paper to Profit publishes quantitative trading strategies, financial research, and code for investors seeking algorithmic alpha in crypto and stocks. The publication mixes technical articles on LLM optimization and…

Likely audience: Quantitative traders

1 shared topic

SubstackSeveral times a week · last post 3 days ago

Freedom Trades is an educational platform and online community focusing on financial markets.

Likely audience: technical analysts

1 shared topic

SubstackEvery two weeks · last post 22 days ago

From recent posts: A Retail Trader's Repository publishes weekly updates on systematic trading strategies, short selling, and backtesting methodologies for retail investors. The publication focuses on statistical analysis, execution…

Likely audience: retail traders

1 shared topic

SubstackWeekly · last post 12 days ago

Robust futures research for systematic traders: strategies tested across regimes, execution friction and portfolio reality.

Likely audience: Algorithmic traders

1 shared topic

LinkedInWeekly · last post 9 days ago

The leading institutional voice on crypto markets.

Likely audience: Crypto investors

1 shared topic

SubstackMonthly or less · last post 49 days ago

The web3 creator community is trustless, decentralized, proof of reputation

Likely audience: Bitcoin investors

1 shared topic

SubstackMonthly or less · last post 13 days ago

From recent posts: TradingQuant publishes algorithmic trading strategies and cognitive psychology essays. The publication mixes technical futures analysis with philosophical discussions on information processing.

Likely audience: quantitative traders

1 shared topic

SubstackMonthly or less · last post 54 days ago

Administrative Center of Tiger’s Substacks: 1. Tiger Ecosystem Overviews 2. Tiger Combo Plan 3. Cross-substacks Joint Research Posts 4. Backup 5. Hire the Whole Tiger Team

Likely audience: Venture Capitalists

1 shared topic

SubstackMonthly or less · last post Sep 8, 2026

Foraging for insights in tech, politics and philosophy

Likely audience: High-frequency traders

1 shared topic