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Topic
Algorithmic Trading
- Episodes
- 4
- Communities
- 4
Over time
Mentions over time
Monthly episodes discussing this topic, 2025-10 to 2026-07.
Who's talking
Top voices on this topic
The people on the most episodes about this topic over the trailing three months, excluding their own shows — ordered by VoiceRank, their score across the whole corpus. The chart tracks each one’s episodes month by month.
2026-072026-082026-09
Where they stand
Talking points
Not enough disagreement in the transcripts to form camps. These are the positions taken by people with demonstrated expertise on this topic first, then by how many people heard them on it, then by VoiceRank.
BD
AI models often exhibit risky behavior when tasked with a performance-based competition.
“they're being pretty risky. A lot of triples. This is not financial.”
Chris Koerner on The Koerner Office Podcast · Jul 2026 · 1 episode · 454K views on this topic
Algorithmic trading amplifies market volatility and causes rapid, news-driven movements that do not necessarily reflect the true market sentiment.
“now you've got a bunch of algos that will read news, read really text reading algos and they will act faster than anyone can act and they just are smart enough to know if it's negative news or positive news and how negative is it and they have their sell or buy programs.”
Investor's Business Daily · Oct 2025 · 1 episode · 10K views on this topicSJ
Trend-following algorithms provide diversification by trading futures markets using systematic rules that do not require an underlying theory for price movements.
“But the great thing about about trend following and about these algorithms in general is that they don't have to know. They don't have to have a theory about why the markets do what they do.”
Bloomberg Podcasts · Mar 2026 · 1 episode · 1K views on this topicPositions are extracted from transcripts by a model and may misattribute who said what. Every quote links to the episode it came from.
Related
Related topics · 14
In the transcripts
