Trading with DaviddTech YouTube channel thumbnail
Trading with DaviddTech
Subscribers 1.4M
Videos 344
Views 11.3M

Channels Like Trading with DaviddTech

Trading with DaviddTech covers algorithmic and backtest-proven trading strategies across forex, stocks, and crypto, focusing on systematic trading backed by data rather than emotions. The channel presents tutorials and strategy demonstrations, including AI-assisted approaches (e.g., Claude AI) and TradingView automation, with an emphasis on backtested results and scalable trading systems. Content appears to be long-form tutorials and live-result videos, averaging about 52.2K views per video, with an upload history that spans since Sep 1, 2015 and an implied regular cadence.

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Similar Channels

We found 47 YouTube channels similar to Trading with DaviddTech

TradingLab YouTube channel thumbnail
#1

88% relevance

Subscribers 1.9M
Videos 214
Views 155.9M
Appearances 19
SERP 100%
Similarity 79%
backtested strategies Forex trading strategies crypto trading strategies

Both target traders with backtested and strategy-based content (queries: backtested strategies; Forex/crypto trading strategies), matching an 88% overall similarity, especially high on strategy-focused searches (100%) while content remains strong (79%).

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Data Trader YouTube channel thumbnail
#2

76% relevance

Subscribers 853K
Videos 54
Views 31.8M
Appearances 14
SERP 74%
Similarity 78%
Forex trading strategies crypto trading strategies stock trading strategies

Similar focus on trading strategies across assets (Forex, crypto, stock) and strategy-level content, yielding a 76% match with strong alignment on search queries (74%) and solid content overlap (78%).

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Unbiased Trading YouTube channel thumbnail
#3
Unbiased Trading

63% relevance

Subscribers 32.4K
Videos 278
Views 1.2M
Appearances 10
SERP 37%
Similarity 81%
backtested strategies systematic trading backtesting results

Shares emphasis on systematic approaches and backtesting (queries: backtested strategies, backtesting results) resulting in a moderate 63% match driven by substantial content overlap (81%) despite lower search alignment (37%).

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Michael Automates YouTube channel thumbnail
#4
Michael Automates

62% relevance

Subscribers 286K
Videos 127
Views 6.5M
Appearances 6
SERP 26%
Similarity 86%
TradingView automation AI trading strategies TradingView scripting

Both discuss automation and scripting in trading (TradingView automation, AI trading strategies) producing a 62% match, with high content similarity (86%) but moderate search overlap (26%).

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AlgoTrade Pro YouTube channel thumbnail
#5
AlgoTrade Pro

62% relevance

Subscribers 39.5K
Videos 519
Views 2.6M
Appearances 8
SERP 29%
Similarity 84%
TradingView automation indicators for tradingview backtesting results

Overlap on automation and backtesting topics (TradingView automation, backtesting results) gives a 62% match, with strong content alignment (84%) though search overlap is modest (29%).

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Trading Notes YouTube channel thumbnail
#6
Trading Notes

60% relevance

Subscribers 84.7K
Videos 46
Views 4.3M
Appearances 7
SERP 30%
Similarity 81%
stock trading strategies indicators for tradingview scalping strategies

Shared interest in stock strategies and TradingView indicators with scalping techniques, yielding a 60% match and good content alignment (81%), while search overlap is moderate (30%).

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Content Landscape

Discovered competitors include TradingLab (88% match) and Data Trader (76% match) as top rivals. Both share overlapping queries with Trading with DaviddTech such as backtested strategies, Forex trading strategies, and crypto trading strategies, placing them in direct competition for similar search topics. Unbiased Trading (63% match) and Michael Automates (62% match) also resemble DaviddTech through interests in backtesting, TradingView automation, and AI-driven strategies. TradingLab is the largest among them with 1.9M subscribers, followed by Data Trader with 853K; DaviddTech has 1.4M subscribers, indicating DaviddTech sits between these peers in size. Competitors collectively align on queries around algorithmic/systematic trading, backtesting results, and TradingView indicators/automation.

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Video Highlights

Recent content from similar channels

Didn't Make the Cut

41 additional channels that were close

Rank Relevance Channel Similarity Subscribers SERP Appearances
#7 60% MemLabs ▶ 77% 10.9K 34% 6
#8 60% Lewis Jackson 92% 228K 12% 4
#9 59% Leah Farnsworth 88% 11.6K 16% 2
#10 59% Build Alpha | David 81% 2.7K 26% 4
#11 59% The Moving Average 78% 1.1M 29% 6
#12 59% AlphaInsider 80% 4.0K 26% 4
#13 58% Trade with Pat 82% 354K 21% 5
#14 57% Craig Percoco ▶ 75% 1.2M 30% 5
#15 57% Enlightened Stock Trading 78% 6.6K 25% 8
#16 56% QuantInsti Quantitative Learning 80% 43.9K 20% 5
#17 55% The Art of Trading 79% 120K 19% 3
#18 54% LuxAlgo 81% 676K 15% 2
#19 54% The Trading Geek ▶ 79% 1.5M 16% 4
#20 54% ProRealAlgos 82% 58.9K 11% 5
#21 54% Financial Wisdom ▶ 78% 297K 17% 4
#22 53% The Rumers 80% 324K 12% 3
#23 53% Quantified Strategies 79% 32.1K 15% 4
#24 53% Roman Paolucci ▶ 76% 77.9K 19% 4
#25 53% neurotrader ▶ 77% 62.3K 16% 5
#26 53% freeCodeCamp.org ▶ 72% 11.5M 24% 4
#27 53% Humbled Trader 78% 1.4M 15% 3
#28 52% DeltaTrend Trading ▶ 79% 32.3K 12% 3
#29 52% Breakout Trading Academy 80% 6.6K 10% 1
#30 52% The day Trading Channel 77% 6.5K 13% 1
#31 51% Trading with Emma Signals & Strategies 77% 68.3K 13% 1
#32 51% Pocket Option 76% 330K 13% 4
#33 51% Darwinex 75% 54.5K 14% 3
#34 51% ByteMonk ▶ 70% 337K 22% 3
#35 51% NetPicks Smart Trading Made Simple 78% 87.2K 10% 1
#36 50% UKspreadbetting ▶ 76% 423K 12% 5
#37 50% PineTrades 75% 162K 13% 1
#38 50% Multi Strat Mark 76% 41.7K 11% 4
#39 49% Modest Money 70% 6.2K 18% 3
#40 49% TradingView 74% 355K 12% 3
#41 49% Concerning Reality ▶ 68% 250K 21% 3
#42 48% TraderNick 69% 528K 16% 4
#43 48% Kenji Explains 69% 897K 16% 3
#44 46% Ryan O'Connell, CFA, FRM ▶ 67% 71.5K 14% 4
#45 44% Finance Explained 67% 7.3K 10% 1
#46 44% Corporate Finance Institute ▶ 66% 377K 12% 4
#47 39% WEED - Weltwirtschaft, Ökologie & Entwicklung 59% 8.3K 10% 1

Search Queries Used

algorithmic trading backtested strategies TradingView automation systematic trading quantitative trading Forex trading strategies crypto trading strategies stock trading strategies indicators for tradingview backtesting results scalping strategies AI trading strategies proven trading strategies automatic trading systems TradingView indicators algorithmic trading basics backtesting software comparison quantitative trading strategies systematic trading principles risk management for algo trading TradingView scripting automation in trading market data analysis methods trend following strategies mean reversion strategies fractal indicators usage portfolio optimization techniques high frequency trading concepts demo trading systems psychology of algorithmic trading backtest accuracy pitfalls robustness testing methods data mining for trading scenario analysis for trading execution algorithms

Frequently Asked Questions

Which YouTube channels are most similar to Trading with DaviddTech?

Trading with DaviddTech's biggest competitors are TradingLab — 88% match, 1.9M subscribers; Data Trader — 76% match, 853K subscribers; Unbiased Trading — 63% match, 32.4K subscribers. They all produce content focused on trading education, strategies, and algorithmic/AI-assisted trading similar to DaviddTech.

What type of content does Trading with DaviddTech make?

Trading with DaviddTech creates content about trading strategies, algorithms, AI-assisted trading, and scalping, evidenced by titles like Intro to My Trading Strategy Channel, I Let Claude Code 10,123 Profitable AI Trading Strategies, How To Actually Trade With Claude AI, and I Let Claude Code Build a FREE 5-Minute Scalping Bot. The channel appears to upload multiple videos with an average view count around 52.2K per video, featuring recent videos with tens of thousands of views and high engagement.

How do we determine which channels are similar to Trading with DaviddTech?

We analyze Trading with DaviddTech'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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