--- title: "Paths" description: "Python For Trading research in reading paths: series, a track to get started and topic collections. The rest by date, plus the topic index." url: "https://pythonparatrading.com/en/paths/" lang: "en" image: "https://pythonparatrading.com/og/en/paths.png" --- # Paths > Python For Trading research in reading paths: series, a track to get started and topic collections. The rest by date, plus the topic index. What reads best in order, grouped into paths. The rest, standalone and by date. ## Start here Track · 4 parts · 29 min total For newcomers: what quant research is, the environment and the first data. 1. [Introduction to Quant Research](https://pythonparatrading.com/en/quant-research-2/) · RESEARCH-0023 · 8 min 2. [Working environment with Docker](https://pythonparatrading.com/en/docker-for-trading/) · RESEARCH-0013 · 4 min 3. [Market data with OpenBB](https://pythonparatrading.com/en/openbb-free-market-data/) · RESEARCH-0014 · 10 min 4. [Python trading course](https://pythonparatrading.com/en/python-trading-course/) · RESEARCH-0018 · 7 min ## Big Data Management Series · Complete · 4 parts · 34 min total A market datalake with ArcticDB, from scratch to a Zipline backtest. 1. [Introduction to big data for trading](https://pythonparatrading.com/en/big-data-for-trading/) · RESEARCH-0019 · 15 min 2. [First Lines of Code](https://pythonparatrading.com/en/big-data-for-trading-with-arcticdb/) · RESEARCH-0020 · 9 min 3. [Datalake on the Nasdaq with ArcticDB](https://pythonparatrading.com/en/big-data-with-arcticdb/) · RESEARCH-0021 · 5 min 4. [Using the Datalake in Zipline](https://pythonparatrading.com/en/backtesting-with-zipline-and-arcticdb/) · RESEARCH-0022 · 5 min ## Seasonality in Python Series · Complete · 4 parts · 37 min total Intraday patterns in futures: from preprocessing to optimization. 1. [Preprocessing and intraday patterns](https://pythonparatrading.com/en/seasonality-intraday-preprocessing/) · RESEARCH-0024 · 9 min 2. [Backtesting](https://pythonparatrading.com/en/seasonality-intraday-backtesting/) · RESEARCH-0025 · 8 min 3. [Trade statistics](https://pythonparatrading.com/en/seasonality-intraday-statistics/) · RESEARCH-0026 · 13 min 4. [Field Search](https://pythonparatrading.com/en/seasonality-intraday-optimization/) · RESEARCH-0027 · 7 min ## Volatility from scratch Collection · 4 parts · 21 min total From intuition to volatility targeting. 1. [Introduction to volatility](https://pythonparatrading.com/en/introduction-to-volatility-liquidity/) · RESEARCH-0001 · 5 min 2. [Volatility Estimators for Trading](https://pythonparatrading.com/en/volatility-estimators-for-trading/) · RESEARCH-0002 · 4 min 3. [Uses of volatility and VIX1D](https://pythonparatrading.com/en/uses-of-volatility/) · RESEARCH-0003 · 5 min 4. [Volatility Targeting in Python](https://pythonparatrading.com/en/volatility-targeting-2/) · RESEARCH-0004 · 7 min ## Liquidity Collection · 3 parts · 22 min total From the order book to aggregate dollar liquidity. 1. [Price Discovery & Arbitrage Pricing Theory](https://pythonparatrading.com/en/arbitrage-pricing-theory-and-price-discovery-2/) · RESEARCH-0006 · 6 min 2. [Limit Order Book - Aggregated Market Liquidity](https://pythonparatrading.com/en/limit-order-book-and-market-liquidity/) · RESEARCH-0008 · 11 min 3. [Approximately Calculating USD Liquidity](https://pythonparatrading.com/en/usd-liquidity/) · RESEARCH-0015 · 5 min ## Zipline in Python Series · Open · 2 parts · 14 min total Backtesting in Python with zipline-reloaded: quant stack, pipeline and a first backtest; data bundles, analysis with pandas and a Backtrader comparison. 1. [Zipline 1 · Quant stack and pipeline](https://pythonparatrading.com/en/zipline-backtesting-with-python-quant-stack/) · RESEARCH-0011 · 11 min 2. [Zipline 2 · First data analysis](https://pythonparatrading.com/en/backtesting-python-zipline-bundle-2/) · RESEARCH-0012 · 3 min ## Standalone 8 research · by date - [Finite-State Machines for Quantitative Trading Execution in Python: From Knight Capital to LangGraph](https://pythonparatrading.com/en/finite-state-machines-trading-python/) · 2026-07-28 — The Knight Capital disaster was a state failure. How to model strategy execution and the order lifecycle with finite-state machines in Python: guards, kill switch, cooldown, transition testing, and the bridge to… - [QAStats V3 Released](https://pythonparatrading.com/en/qastats-v3-released-2/) · 2025-04-15 — We are excited to announce the release of QAStats V3, with new features and improvements for quantitative analysis. - [Impact of Seasonal Factor on US Bonds](https://pythonparatrading.com/en/seasonality-usa-yields/) · 2024-10-03 — In this article, we will analyze the impact of the seasonal factor on US Treasury bond yields using Python. - [Advanced Financial Report Library in Python](https://pythonparatrading.com/en/advanced-reporting-2/) · 2024-10-03 — Over time, some codes can start to see the light of day publicly, and reviewing old repositories, I found a very primitive version of a reporting library that made our lives much easier at the time. - [Central Banks and Monetary Policy in Python](https://pythonparatrading.com/en/monetary-policy-in-python/) · 2023-06-08 — In the complex field of economics and monetary policy, it is essential to have the ability to analyze and understand trends and the effects of economic policies. In this context, Python, a versatile programming… - [Quantitative Models and Algorithmic Execution](https://pythonparatrading.com/en/quantitative-models-algorithmic-execution/) · 2023-06-03 — In this article we will discuss quantitative models in trading. We will explore different quantitative trading models and how they are executed through algorithms. - [Alpha Factors and Alpha Trading in Python](https://pythonparatrading.com/en/alpha-factors-and-alpha-trading-in-python/) · 2023-06-01 — Alpha Trading is the way to model Alpha Factors in scenarios of exposure to profitability. These models are gaining popularity among investors of all levels thanks to greater technological accessibility. - [Stochastic Processes - Random Walks](https://pythonparatrading.com/en/stochastic-processes/) · 2023-05-16 — In probability theory, a stochastic process is a mathematical concept used to represent random quantities that vary with time or to characterize a sequence of random variables that evolve as a function of another… ## Topics - [Quant](https://pythonparatrading.com/en/tag/quant/) · 8 research - [Algorithms](https://pythonparatrading.com/en/tag/algoritmos/) · 6 research - [Big Data](https://pythonparatrading.com/en/tag/big-data/) · 6 research - [Liquidity](https://pythonparatrading.com/en/tag/liquidez/) · 5 research - [ArcticDB](https://pythonparatrading.com/en/tag/arcticdb/) · 4 research - [Microstructure](https://pythonparatrading.com/en/tag/microestructura/) · 4 research - [Models](https://pythonparatrading.com/en/tag/modelos/) · 4 research - [Seasonality](https://pythonparatrading.com/en/tag/estacionalidad/) · 4 research - [Volatility](https://pythonparatrading.com/en/tag/volatilidad/) · 4 research - [Portfolio](https://pythonparatrading.com/en/tag/portfolio/) · 3 research - [Stochastic Processes](https://pythonparatrading.com/en/tag/procesos-estocasticos/) · 2 research - [Zipline](https://pythonparatrading.com/en/tag/zipline/) · 2 research - [Alpha Factor](https://pythonparatrading.com/en/tag/alpha-factor/) · 1 research - [Arbitrage](https://pythonparatrading.com/en/tag/arbitrage/) · 1 research - [Market Neutral](https://pythonparatrading.com/en/tag/market-neutral/) · 1 research - [Order Book](https://pythonparatrading.com/en/tag/order-book/) · 1 research - [Price Discovery](https://pythonparatrading.com/en/tag/price-discovery/) · 1 research