Scored 78 articles from 111 feeds; 15 included in digest.
Run ID: run-1791876890122
Generated: October 13, 2026 at 03:36 AM ET
Summaries: gemini-flash-lite-latest; enrichment 15/15 succeeded
| Source | Type | Included | Scored | 28d Digest Rate | 28d Avg Score | 28d Hotlist Hit | 7d Article Age | 28d Confidence |
|---|---|---|---|---|---|---|---|---|
| Bloomberg Markets | news | 3 | 5 | 32% | 0.10 | 1% | 7.0h | Stable |
| MyFT | news | 3 | 5 | 28% | 0.10 | 0% | 5.9h | Stable |
| Reddit R/DayTrading | news | 3 | 5 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Seeking Alpha News | commentary | 3 | 5 | 19% | 0.06 | 0% | 1.6h | Stable |
| Ars Technical All News | news | 1 | 5 | 8% | 0.03 | 0% | 8.4h | Stable |
| WSJ US Business | news | 1 | 5 | 18% | 0.07 | 0% | 10.3h | Stable |
| Closing Line Substack | news | 1 | 1 | Collecting data | Collecting data | Collecting data | 6.3h | Collecting |
| Bogleheads forum | news | 0 | 5 | 6% | 0.02 | 0% | 0.9h | Stable |
| Guardian | news | 0 | 5 | 8% | 0.02 | 0% | 11.8h | Stable |
| Medium AI (keyword) | commentary | 0 | 5 | 5% | 0.02 | 0% | 0.8h | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 0 | 5 | 8% | 0.03 | 0% | 0.8h | Stable |
| NYT front page | news | 0 | 5 | 7% | 0.02 | 0% | 9.7h | Stable |
| Zero Hedge | commentary | 0 | 5 | 36% | 0.12 | 0% | 10.5h | Stable |
| FT Alphaville | news | 0 | 2 | ~17% | ~0.06 | ~0% | 5.6h | Low sample |
| Outside Law School Scam - Comments | commentary | 0 | 2 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Reddit R/FuturesTrading | news | 0 | 2 | ~14% | ~0.04 | ~0% | 7.6h | Low sample |
| WSJ Tech | news | 0 | 2 | 23% | 0.09 | 0% | 8.9h | Stable |
| AI Daily Brief YT podcast | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.1h | Collecting |
| Economist: Europe | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.3h | Collecting |
| NYT Economy | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 1.7h | Collecting |
| Noahpinion | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.5h | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~7% | ~0.02 | ~0% | 2.7h | Low sample |
| The Atlantic | news | 0 | 1 | 4% | 0.01 | 0% | 8.7h | Stable |
| The Verge | news | 0 | 1 | 10% | 0.03 | 0% | 8.5h | Stable |
| Tom’s Hardware | news | 0 | 1 | 10% | 0.03 | 0% | 9.3h | Stable |
| WSJ Social Economy | news | 0 | 1 | 13% | 0.06 | 0% | 8.0h | Stable |
Source: Bloomberg Markets
Type: news
Included: 3
Scored: 5
28d Digest Rate: 32%
28d Avg Score: 0.10
28d Hotlist Hit: 1%
7d Article Age: 7.0h
28d Confidence: Stable
Source: MyFT
Type: news
Included: 3
Scored: 5
28d Digest Rate: 28%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 5.9h
28d Confidence: Stable
Source: Reddit R/DayTrading
Type: news
Included: 3
Scored: 5
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: No recent data
28d Confidence: Collecting
Source: Seeking Alpha News
Type: commentary
Included: 3
Scored: 5
28d Digest Rate: 19%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 1.6h
28d Confidence: Stable
Source: Ars Technical All News
Type: news
Included: 1
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 8.4h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 5
28d Digest Rate: 18%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 10.3h
28d Confidence: Stable
Source: Closing Line Substack
Type: news
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.3h
28d Confidence: Collecting
Source: Bogleheads forum
Type: news
Included: 0
Scored: 5
28d Digest Rate: 6%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 0.9h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 0
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 11.8h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 5%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 0
Scored: 5
28d Digest Rate: 7%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 9.7h
28d Confidence: Stable
Source: Zero Hedge
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 36%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 10.5h
28d Confidence: Stable
Source: FT Alphaville
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~17%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 5.6h
28d Confidence: Low sample
Source: Outside Law School Scam - Comments
Type: commentary
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: No recent data
28d Confidence: Collecting
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~14%
28d Avg Score: ~0.04
28d Hotlist Hit: ~0%
7d Article Age: 7.6h
28d Confidence: Low sample
Source: WSJ Tech
Type: news
Included: 0
Scored: 2
28d Digest Rate: 23%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 8.9h
28d Confidence: Stable
Source: AI Daily Brief YT podcast
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.1h
28d Confidence: Collecting
Source: Economist: Europe
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.3h
28d Confidence: Collecting
Source: NYT Economy
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 1.7h
28d Confidence: Collecting
Source: Noahpinion
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.5h
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~7%
28d Avg Score: ~0.02
28d Hotlist Hit: ~0%
7d Article Age: 2.7h
28d Confidence: Low sample
Source: The Atlantic
Type: news
Included: 0
Scored: 1
28d Digest Rate: 4%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 8.7h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 0
Scored: 1
28d Digest Rate: 10%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 8.5h
28d Confidence: Stable
Source: Tom’s Hardware
Type: news
Included: 0
Scored: 1
28d Digest Rate: 10%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 9.3h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 1
28d Digest Rate: 13%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
According to the IMF, the share of groups in Asia unable to service their debt has doubled since 2008, leading to a warning over zombie companies in the region.
Keywords: IMF, zombie companies, debt, Asia, global economy
A Reddit user shares the results of practicing bar-by-bar replay trading on historical DOGE perp data with a $10,000 simulation account, achieving an 86% win rate over a week resulting in a 17% overall gain. Despite 25 wins and 4 losses, the breakdown revealed a dangerous risk profile involving zero stop-losses, 40-50x leverage, an average loss significantly outweighing the average win, and multiple liquidations that were offset by a lucky revenge trade. The trader concludes that a high win rate without stop-losses is a blowup risk and outlines plans to implement strict stop-losses, cap leverage at 10x, and halt trading sessions after liquidations or consecutive losses.
Keywords: day trading, leverage, liquidation, risk management, cryptocurrency, perpetual contracts
South Korea's chip-heavy equity benchmark fell more than 7% during a global slide in semiconductor stocks, driven by growing concerns over artificial intelligence overheating and Chinese competition.
Keywords: semiconductor, chip selloff, South Korea, AI overheating, casino warning
In late September on a Wednesday evening, analysts covering the cash-strapped Hong Kong developer New World Development Co. experienced delays as the company was late reporting its earnings and executives failed to appear at a scheduled briefing.
Keywords: New World Development Co., Hong Kong, real estate, earnings delay, financial distress
Broadcom's CEO acknowledges that OpenAI has a viable business while also warning about constraints related to artificial intelligence funding.
Keywords: Broadcom, OpenAI, AI funding, artificial intelligence, CEO
According to the WSJ US Business feed, individual investors are trading at meme-stock levels. Additionally, Donald Trump's manufacturing plans are facing reality, and Meta has launched a new AI model.
Keywords: Individual Investors, Meme-Stock, Trading, Retail Exuberance
Tencent is preparing a bond offering of over $4.5 billion in both dollars and yuan to fund artificial intelligence capital expenditures.
Keywords: Tencent, bond offering, AI capex, artificial intelligence, debt financing
Australia's corporate regulator temporarily barred asset manager Fidante Partners Ltd. from offering units in a fund run with Ares Management Corp. This action is part of an expanding clampdown by authorities on investment products considered too risky for retail investors.
Keywords: Ares Management, Fidante Partners, Australia, corporate regulator, investment products, retail investors
At its annual meeting, the International Monetary Fund warned that top economies are heading for their biggest budget deficits since the Covid-19 pandemic and called for urgent action to rebuild public finances.
Keywords: IMF, budget deficits, public finances, global economy, fiscal policy
Epic Games is reportedly pivoting to an "ai first" game development model for its delayed Marvel and Star Wars shooter, meaning there will be no more hand-written code or AI-free art.
Keywords: Epic Games, AI development, artificial intelligence, game development, Marvel, Star Wars
A full-time day trader shares that they crossed +$10.7k in profit for October, marking their first $10k month since transitioning to full-time trading. The trader attributes the success to sticking to a consistent strategy, trading gold during the Asia session using a 15-minute IFVG setup with a 1:1 risk-to-reward ratio, maintaining an average risk of around $2,250 per trade, and achieving a 75% win rate for the month with only one proper losing day and one flat day.
Keywords: day trading, gold trading, trading strategy, risk management, financial trading
China's tech giants are purchasing products that were not originally designed for advanced artificial intelligence in order to meet rising computing demands.
Keywords: China, Nvidia, Artificial Intelligence, Tech Giants, Computing Demands
A Reddit user on r/DayTrading expresses curiosity and questions how young adults aged 18 to 20 are allegedly making large amounts of money to purchase mansions and supercars through prop firms and Discord communities, noting that their own trading income covers their mortgage but does not match that lifestyle.
Keywords: day trading, prop firms, Discord, social media wealth, retail trading
The latest edition of The Cashout from Closing Line Substack reports that New York sports betting handle continues to grow year-over-year with strong state numbers, while Kalshi reached record trading volumes approaching $4 billion driven largely by parlays. The newsletter also features a weekly gambling news roundup covering topics such as NBA interest in prediction market data, federal sentencing recommendations in an NCAA match-fixing case, FBI investigations into baseball betting patterns, and various legislative, regulatory, and industry developments.
Keywords: sports betting, Kalshi, prediction markets, gambling news, sweepstakes casinos
General Motors CEO Mary Barra has reaffirmed the company's 2028 target for 'eyes-off, hands-off' technology, according to Seeking Alpha News.
Keywords: General Motors, Mary Barra, autonomous vehicles, technology targets