Patrick Boyle

Subscribers 1.1M

Videos 453

Views 151.3M

Channels Like Patrick Boyle

Patrick Boyle covers quantitative finance topics through videos explaining current market events, financial derivatives, corporate finance, and investment concepts. The channel emphasizes tutorials and deep-dives into finance and markets, with content likely to include market explanations, risk management, and trading/posting on economic issues; uploads average about 1.5 per week, and videos routinely attract hundreds of thousands to millions of views (recent videos show views from ~421K to ~2M, with an average around 867.9K per video). Subscribers total 1.1M, and the channel has 453 videos since starting in 2019.

Similar Channels

We found 48 YouTube channels similar to Patrick Boyle

MIT OpenCourseWare YouTube channel thumbnail

#1

MIT OpenCourseWare view on YouTube ▶

79% relevance

Subscribers 6.2M

Videos 7.9K

Views 523.8M

Appearances 18

SERP 100%

Similarity 64%

financial markets analysis risk management in finance financial markets explanation

Shares audience interest in financial markets analysis and risk management in finance (high search overlap: 100%), and both provide structured educational content on finance, though MDOCW's format and depth differ from Boyle's lecture-style delivery (content match 64%).

#2

Ryan O'Connell, CFA, FRM

77% relevance

Subscribers 71.5K

Videos 213

Views 5.4M

Appearances 13

SERP 100%

Similarity 61%

risk management in finance financial economics monte carlo simulation finance

Targets risk management in finance and quantitative finance topics with high search overlap (100%), but O'Connell's content leans more toward professional risk assessment and certifications, yielding a somewhat different presentation style (content match 61%).

The Wall Street Journal YouTube channel thumbnail

#3

The Wall Street Journal view on YouTube ▶

71% relevance

Subscribers 6.6M

Videos 28K

Views 2.5B

Appearances 6

SERP 63%

Similarity 76%

derivatives trading market volatility analysis policy effects on markets

Covers derivatives, market volatility, and policy effects—topics with substantial search overlap (63%) yet presented through journalism and news analysis rather than Boyle's instructional approach (content match 76%).

#4

Socratica

68% relevance

Subscribers 1M

Videos 701

Views 67.4M

Appearances 6

SERP 75%

Similarity 63%

quantitative finance derivatives trading quantitative trading

Addresses quantitative finance and derivatives/trading topics with good search overlap (75%), yet their videos often emphasize approachable explanations and demonstrations, resulting in a moderate content similarity to Boyle (content match 63%).

#5

MoneyWeek

66% relevance

Subscribers 303K

Videos 533

Views 22.5M

Appearances 5

SERP 58%

Similarity 71%

derivatives trading financial markets explanation global financial markets

Explains derivatives trading and global financial markets, aligning with Boyle on several queries (search 58%), though MoneyWeek's format is more newsletter-style and thematic rather than in-depth tutorials (content match 71%).

#6

Roman Paolucci

64% relevance

Subscribers 77.9K

Videos 409

Views 3.9M

Appearances 7

SERP 62%

Similarity 65%

quantitative finance market volatility analysis quantitative methods finance

Focuses on quantitative finance and market volatility with similar query interest (search 62%), but emphasizes quantitative methods with a different instructional approach, yielding comparable content depth (content match 65%).

Content Landscape

Competitors identified: MIT OpenCourseWare (79% match, 6.2M subscribers) and The Wall Street Journal (71% match, 6.6M subscribers) are the top matches by name. They share overlapping queries such as financial markets analysis, risk management in finance, derivatives trading, and market volatility analysis, aligning with Patrick Boyle’s focus on quantitative finance and market explanations. Other competitors include Ryan O'Connell, CFA, FRM (77% match, 71.5K subscribers), Socratica (68% match, 1M subscribers), and MoneyWeek (66% match, 303K subscribers), who similarly cover quantitative finance concepts, quantitative trading, and financial markets explanation. Patrick Boyle has 1.1M subscribers, which is smaller than MIT OpenCourseWare and The Wall Street Journal but larger than Ryan O'Connell, Socratica, and MoneyWeek, illustrating a range of scale among channels addressing similar topics.

Video Highlights

Didn't Make the Cut

42 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	63%	The Plain Bagel ▶	73%	1.2M	49%	2
#8	63%	Coin Bureau ▶	78%	2.7M	41%	2
#9	62%	Good Work ▶	73%	1.4M	45%	4
#10	57%	freeCodeCamp.org ▶	66%	11.5M	44%	6
#11	57%	MemLabs	64%	10.9K	45%	6
#12	57%	Bloomberg Television ▶	73%	3.1M	32%	3
#13	55%	Business Casual ▶	77%	1.1M	23%	2
#14	55%	Heresy Financial	76%	399K	24%	1
#15	55%	Dimitri Bianco	66%	155K	37%	6
#16	54%	Netflix ▶	66%	32.9M	37%	3
#17	54%	Media Highlights	73%	1.5K	26%	2
#18	54%	Khan Academy	61%	9.3M	42%	6
#19	54%	Aswath Damodaran	73%	959K	24%	2
#20	53%	The Rest Of Us	73%	235K	24%	1
#21	53%	EconplusDal ▶	65%	378K	36%	5
#22	53%	Perfiliev Financial Training	75%	20.3K	20%	1
#23	52%	Corporate Finance Institute ▶	61%	377K	39%	7
#24	52%	FINAiUS ▶	72%	746K	22%	6
#25	52%	TEDx Talks ▶	66%	44.2M	32%	2
#26	52%	PensionCraft	72%	212K	23%	2
#27	52%	Learn to Invest - Investors Grow	69%	290K	26%	3
#28	52%	Daniel Boctor	73%	86.5K	20%	2
#29	52%	RiskDoctorVideo	63%	25.8K	34%	2
#30	52%	TradingLab ▶	70%	1.9M	24%	6
#31	51%	STARTRADER	65%	5.5K	31%	2
#32	51%	Business Insider ▶	71%	10.4M	21%	3
#33	51%	Quantra	60%	27.3K	37%	8
#34	51%	Academy of Financial Training	63%	3.9K	33%	2
#35	50%	Quantopian	67%	83.1K	23%	4
#36	49%	Quant Questions IO	65%	14.5K	26%	3
#37	49%	Think Econ	65%	70.2K	25%	2
#38	48%	Crypto Wizards	65%	26.7K	24%	3
#39	48%	AnalystPrep	64%	122K	25%	6
#40	48%	Financial Wisdom	67%	297K	20%	3
#41	47%	Kenji Explains	64%	897K	23%	2
#42	47%	PrepNuggets	63%	38.1K	24%	3
#43	47%	economification	61%	8.2K	26%	2
#44	47%	IBM Technology ▶	63%	1.6M	23%	2
#45	46%	Quantified Strategies	63%	32.6K	20%	1
#46	45%	Aaron Yao	62%	20.7K	20%	2
#47	45%	Universal CPA - #1 Course for Visual Learners	60%	13.4K	23%	5
#48	45%	Simple Explain ▶	58%	5.2K	24%	1

Search Queries Used

quantitative finance financial markets analysis derivatives trading risk management in finance financial markets explanation macro market outlook hedge fund strategies quantitative trading financial economics market volatility analysis cryptocurrency markets analysis regulatory impacts finance policy effects on markets global financial markets financial history documentaries quantitative methods finance statistical arbitrage concepts risk-adjusted performance time series forecasting finance derivatives pricing models monte carlo simulation finance capital asset pricing model factor investing strategies volatility forecasting methods portfolio optimization techniques enterprise risk management macroeconomic data analysis financial markets cycles institutions and markets structure corporate finance theory universal valuation methods algorithmic trading basics econometrics in finance market microstructure analysis financial market history documentaries

Frequently Asked Questions

Which YouTube channels are most similar to Patrick Boyle?

Patrick Boyle's biggest competitors on YouTube are MIT OpenCourseWare (6.2M subscribers, 79% match), Ryan O'Connell, CFA, FRM (71.5K subscribers, 77% match), and The Wall Street Journal (6.6M subscribers, 71% match). They share a focus on finance, economics, investing, and market analysis.

What type of content does Patrick Boyle make?

Patrick Boyle creates finance- and economics-focused content, including topics like tariffs, crypto, regulatory and Epstein-related discussions, and commentary on global markets. He uploads roughly 1.5 videos per week, with an average of about 867.9K views per video.

How do we determine which channels are similar to Patrick Boyle?

We analyze Patrick Boyle's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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