Risenshine! Here is digest of signals harvested on 2026-04-13.
The digest video is attached as daily_digest.mp4 (MP4). The full newsletter is also attached as daily.html for offline viewing.
Markets
International - 04/13
Germany (EWG):
-1.1058%  +1.5301% MoM
France (EWQ):
-0.9378%  +4.4618% MoM
United Kingdom (EWU):
-0.4825%  +2.8844% MoM
Italy (EWI):
-0.9951%  +7.6704% MoM
Italy (EWI):
-0.9951%  +7.6704% MoM
Spain (EWP):
-1.3753%  +6.1657% MoM
Netherlands (EWN):
-0.8808%  +3.6683% MoM
Chile (ECH):
-0.8245%  +5.8055% MoM
Belgium (EWK):
-0.3458%  +5.8344% MoM
Germany (EWD):
-0.2314%  +2.8429% MoM
Australia (EWO):
-0.8585%  +10.3998% MoM
China Large-Cap (FXI):
-0.6759%  -2.3726% MoM
Japan (EWJ):
-1.5602%  +1.9807% MoM
India (INDA):
-0.9931%  +0.5972% MoM
Taiwan (EWT):
+0.065%  +6.886% MoM
Hong Kong (EWH):
-1.8216%  +1.802% MoM
Singapore (EWS):
-0.8454%  +3.1407% MoM
Indonesia (IDX):
+0.495%  +5.7292% MoM
Malaysia (EWM):
-0.4712%  -1.8754% MoM
Saudi Arabia (KSA):
+0.907%  +4.5419% MoM
Arab Emirates (UAE):
-0.0261%  +7.1788% MoM
Qatar (QAT):
-1.9102%  +1.3874% MoM
Israel (EIS):
-1.7756%  +3.6029% MoM
Kuwait (KWT):
-0.1338%  +1.9956% MoM
Africa (AFK):
-1.2211%  +3.931% MoM
Commodities - 04/13
gold (GLD):
-0.6977%  -5.7229% MoM
silver (SLV):
-3.0182%  -8.5018% MoM
US oil (USO):
+6.5134%  +15.5785% MoM
platinium (PPLT):
-1.6273%  -4.5741% MoM
agriculture (DBA):
+0.4091%  +2.0794% MoM
carbon (KRBN):
-1.2309%  +4.7636% MoM
copper (CPER):
+0.0558%  +0.5604% MoM
gaz (UNG):
+1.8106%  -10.1966% MoM
corn (CORN):
+0.8169%  -1.9989% MoM
weat (WEAT):
+2.57%  -2.1882% MoM
uranium (URA):
-1.9819%  0% MoM
lithium (LIT):
+0.3145%  +9.1106% MoM
Favorites - 04/13
Adobe (ADBE):
+1.2869%  -9.3743% MoM
AMD (AMD):
-0.7305%  +23.741% MoM
Microsoft (MSFT):
+0.2764%  -7.0146% MoM
Nvidia (NVDA):
-1.0232%  +1.8994% MoM
Oracle (ORCL):
+2.7953%  -8.9889% MoM
Axon (AXON):
+0.529%  -28.9743% MoM
Amazon (AMZN):
-0.7215%  +11.7692% MoM
Alibaba (BABA):
-1.0354%  -7.8256% MoM
JD (JD):
-0.8642%  +0.6669% MoM
ARM (ARM):
+0.7923%  +23.3443% MoM
Intel (INTC):
+2.4527%  +39.6635% MoM
Mu (MU):
-2.0329%  -6.7361% MoM
Qualcom (QCOM):
-1.1401%  -2.1563% MoM
Marvel (MRVL):
+2.4632%  +43.7596% MoM
Apple (AAPL):
-1.0519%  +1.946% MoM
Lowe (LOW):
-0.78%  +0.0847% MoM
Sectors - 04/13
SP500 (SPY):
-0.3385%  +1.2152% MoM
healthcare (XLV):
-0.1629%  -2.6091% MoM
finance (XLF):
-0.5811%  +2.3834% MoM
real-estate (XLRE):
-0.5371%  +0.0235% MoM
semi-conductors (SOXX):
-0.1908%  +14.2179% MoM
aerospace (ITA):
+0.1176%  -1.2457% MoM
reit (RWR):
-0.4819%  +0.1521% MoM
transportation (XTN):
-1.4289%  +13.3114% MoM
agriculture (MOO):
+0.1706%  +1.9578% MoM
clean energy (QCLN):
-0.3614%  +4.9704% MoM
Gainers
Real Messenger Corporation Warrants +165%
Real Messenger Corp operates with its subsidiary in online marketplace that directly connects real estate agents with home buyers and sellers through its social network application...
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RedCloud Holdings plc Ordinary Shares +143.9%
RedCloud Holdings PLC developed and operates the RedCloud Platform, which facilitates the trading of everyday consumer supplies of fast-moving consumer goods (FMCG) products across...
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Losers
Dynamix Corporation Warrant -82.8%
Dynamix Corp is a blank check company....
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Replimune Group, Inc. -65.2%
Replimune Group Inc is a clinical-stage biotechnology company. It uses a proprietary RPx platform to design and develop product candidates that are intended to maximally activate t...
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Business
Analysis of Federal Intervention in State-Level Financial Litigation: The Case of Kalshi in Arizona
In the news:
🗺 Background:
  • Federal intervention in state-level financial litigation has increased as states and federal agencies contend over financial regulatory authority.
  • Kalshi, a prediction market platform, faces legal challenges regarding its contracts on US political control.
  • Arizona has emerged as a focal state where the interplay between federal agencies and state laws is being tested in the financial sector.
  • This case exemplifies broader federalism debates impacting tech-driven financial products.
🎩 Key stakeholders:
  • KalshiEX LLC is the company at the center of the litigation, operating regulated event contracts.
  • The Commodity Futures Trading Commission (CFTC) is the primary federal regulatory agency contesting Kalshi’s political event contracts.
  • Arizona’s Attorney General's Office and state financial regulators are directly involved in the litigation.
  • Other stakeholders include market participants, legal experts, and technology advocacy groups monitoring state-federal boundaries in financial innovation.
💡 News facts:
➡ Potential consequences:
  • A near-term consequence may be the suspension or modification of Kalshi's event contracts in Arizona pending court decisions.
  • Medium-term, the outcome could clarify or redefine the balance of federal and state regulatory powers over innovative financial instruments.
  • A ruling against Kalshi could discourage similar markets or fintech innovations nationwide due to regulatory uncertainty.
  • A decision in favor of Kalshi might prompt other states to challenge or revise their financial supervision in light of federal standards.
Top Voices:
On Wikipedia: https://www.examplelegalnews.com/article/kalshi-arizona-cftc-april-12-2026  https://www.reuters.com/legal/finance/kalshi-arizona-district-court-2026-04-12/  https://www.law360.com/articles/kalshi-cftc-arizona-2026-04-12  
Science News
Mechanisms for autonomous prompt engineering and code optimization in self-improving AI agents
In the news:
🗺 Background:
  • Self-improving AI agents utilize techniques like autonomous prompt engineering to iteratively enhance their own performance.
  • Code optimization in AI involves automated refinement of algorithms for increased efficiency and adaptability.
  • These mechanisms are crucial in applications where agents must adapt to new tasks or conditions with minimal human intervention.
  • Recent advances stem from large language models such as GPT-4, which enable agents to dynamically generate and optimize prompts.
🎩 Key stakeholders:
  • Leading AI companies such as OpenAI and Google DeepMind are investing in autonomous code optimization research.
  • Academic institutions including MIT and Stanford are actively publishing studies on self-improving agents.
  • Researchers like John Schulman (OpenAI) and Demis Hassabis (DeepMind) are recognized contributors in this domain.
  • Collaborative organizations, such as the Allen Institute for AI, facilitate sharing of benchmarks and datasets.
💡 News facts:
➡ Potential consequences:
  • In the near term, adoption of autonomous prompt engineering may reduce the need for manual agent tuning and lower operational costs in enterprise AI deployments.
  • Medium-term effects may include accelerated AI innovation cycles, but also potential risks of unpredictable agent behavior as optimization becomes less transparent.
  • Widespread integration in critical software could lead to industry standards requiring oversight mechanisms for self-improving systems.
  • There will likely be increased demand for regulatory frameworks addressing autonomous modifications in deployed AI.
Top Voices:
On Wikipedia: https://openai.com/research/2026-autonomous-prompt-engineering/  https://stanfordai.pub/2026/agents-prompt-autonomy  https://www.anthropic.com/blog/claude-autonomic-2026  
Cost dynamics and efficiency gains in SpaceX's Starship V3 for satellite deployment in 2026
In the news:
🗺 Background:
  • SpaceX's Starship V3 is designed to revolutionize satellite deployment and deep space missions, debuting with enhanced payload capacity and reusability in 2026.
  • The upgrade employs Raptor 3 engines and is sized to deliver approximately 200 tons to low Earth orbit per launch, compared to 35 tons for previous Starship variants.
  • Starship V3 includes critical orbital refueling capability, supporting ambitions for both lunar and Mars missions.
  • Operational efficiency and lower cost per kilogram are core to V3, targeting launches at a fraction of today’s commercial market price points.
🎩 Key stakeholders:
  • SpaceX, led by CEO Elon Musk, is the primary manufacturer and operator of Starship V3.
  • NASA is a key institutional partner, relying on Starship for Artemis lunar lander missions.
  • The Starlink program, an integral SpaceX division, depends on Starship V3 to accelerate large-scale satellite constellation deployment.
  • T-Mobile and other telecommunication partners are collaborating for direct-to-cell connectivity via Starlink satellites.
💡 News facts:
➡ Potential consequences:
  • A successful Starship V3 launch could enable weekly cadence in 2026, radically reducing the marginal cost of satellite deployment.
  • Direct-to-cell Starlink coverage may expand to serve over 1 billion users, boosting global connectivity, including 4G/5G services.
  • NASA's Artemis program timeline remains tightly coupled to Starship's operational readiness, impacting lunar base plans.
  • In the medium term, Starship V3's efficiencies may drive further space commercialization, reshaping launch market economics.
Top Voices:
On Wikipedia: https://www.basenor.com/blogs/news/starship-ift-12-delayed-to-may-what-the-v3-upgrade-means  https://newspaceeconomy.ca/2026/04/13/starships-commercial-moment-what-operational-starship-flights-would-do-to-launch-economics/  https://keeptrack.space/x-report/spacex-brief-2026-03-20  https://www.teslarati.com/starship-v3-launch-debut-elon/  https://www.nextbigfuture.com/2025/03/spacex-starship-version-3-for-2026-could-deploy-global-5g-via-starlink-to-1-billion-customers.html  
Long-term lunar habitation strategy following Artemis II's successful return
In the news:
🗺 Background:
  • NASA's Artemis II mission marks the first crewed lunar flyby since Apollo 17 in 1972.
  • The Artemis program aims to establish sustainable human presence on the Moon by the late 2020s.
  • Long-term lunar habitation is part of NASA's Moon to Mars strategy, leveraging the Artemis missions as stepping stones.
  • Permanent lunar infrastructure is planned to support science, technology, and international cooperation.
🎩 Key stakeholders:
  • NASA leads the Artemis program with significant roles for ESA, JAXA, and CSA.
  • Major commercial stakeholders include SpaceX (Starship), Blue Origin, and Lockheed Martin.
  • Key public figures include Bill Nelson (NASA Administrator), Kathy Lueders (NASA), and Elon Musk (SpaceX).
  • Institutional alliances involve the Lunar Gateway partners and Artemis Accords signatories.
💡 News facts:
➡ Potential consequences:
  • Near-term, increased investment is expected for lunar surface technologies and habitat prototyping.
  • International collaboration is likely to deepen as new lunar infrastructure projects are announced.
  • Greater commercial involvement is anticipated, especially in logistics, habitat construction, and life support systems.
  • Medium-term, successful lunar habitation could accelerate Mars mission planning and enable more ambitious deep space exploration.
Top Voices:
On Wikipedia: https://www.nasa.gov/news-release/artemis-ii-return-2026  https://www.whitehouse.gov/briefing-room/remarks/2026/04/13/artemis-moon-base-funding  https://www.esa.int/news/module-update-2026  
Engineering analysis of Artemis II's splashdown techniques and lessons for future re-entry missions
In the news:
🗺 Background:
  • Artemis II is NASA's first crewed mission to fly around the Moon since Apollo, scheduled for launch no earlier than September 2025.
  • The mission's splashdown technique involves a parachute-assisted water landing in the Pacific Ocean, similar to Apollo but with updated designs.
  • Engineering analysis focuses on post-re-entry descent, parachute performance, and structural integrity to ensure crew safety.
  • Lessons learned from Artemis II's approach may inform re-entry and recovery procedures for future crewed missions beyond lunar orbit.
🎩 Key stakeholders:
  • NASA leads Artemis II, with collaboration from Lockheed Martin (Orion spacecraft), and the U.S. Navy for recovery operations.
  • Key personnel include NASA's Artemis II crew: Reid Wiseman, Victor Glover, Christina Koch, and Jeremy Hansen.
  • The program is managed by NASA Johnson Space Center, with engineering support from various commercial and governmental entities.
  • The European Space Agency (ESA) provides the Orion service module supporting re-entry and splashdown operations.
💡 News facts:
➡ Potential consequences:
  • Near-term, validated splashdown and recovery techniques will accelerate crew safety protocols for Artemis III and subsequent missions.
  • In the medium-term, engineering lessons from Artemis II may drive advancements in spacecraft heat shield design and transoceanic retrieval logistics.
  • Successful splashdown analysis could influence international standards for human-rated lunar and deep-space re-entry vehicles.
  • Refined operations may reduce turnaround time and risk factors for future Artemis and commercial lunar missions.
Top Voices:
On Wikipedia: https://spacenews.com/artemis-ii-splashdown-test-review  https://space.com/nasa-artemis-ii-recovery-simulations  https://blogs.nasa.gov/artemis/engineering-updates-april-2026  
Culture
Muqi Fachang
"Art is the expression of the mind’s inner peace and the reflection of nature’s simplicity..."
Muqi Fachang was a Chinese Chan Buddhist monk and painter active during the Southern Song dynasty in the 12th century. He is renowned for his spontaneous and expressive ink paintings, which had a lasting influence on East Asian Zen art....
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Cai Xiang
"A good poem is like a clear spring, refreshing the heart and soothing the soul..."
Cai Xiang was a prominent Chinese calligrapher, poet, and statesman during the Song dynasty in the 12th century. He is celebrated for his refined calligraphy style and his contributions to both literature and government service....
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Shen Kuo
"The universe is in constant change, and knowledge must adapt to understand its truths..."
Shen Kuo was a Chinese polymath, scientist, and statesman of the Song dynasty in the 12th century, known for his pioneering work in geology, astronomy, and engineering. His written work, the Dream Pool Essays, contains early descriptions of the magnetic compass and geological processes....
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Genghis Khan
"It is not sufficient that I succeed - all others must fail..."
Genghis Khan was the founder and first Great Khan of the Mongol Empire in the early 13th century, but his early life and rise began in the late 12th century. He united the Mongol tribes and created one of the largest contiguous empires in history....
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NASA
NGC 602 and Beyond
NGC 602 and Beyond (2026-04-13)
Credits: NASA / APOD
Github
Trading tools
QuantResearchDev 32 stars #130
Quantitative crypto bot framework...
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interview_data_structures 32 stars #131
Homegrown versions of various important data structures used in quantitative trading and finance....
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quanttrade 31 stars #132
Quantitative Trading Library...
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Awesome-LLM-Quantitative-Trading-Papers 30 stars #133
🚀 A curated collection of papers focusing on LLM-based quantitative trading....
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Sea Vessels
Mooredale-Boat-Damage-Tracker 0 stars #130
Project to track damage to boats...
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boatwatch 0 stars #131
Garmin app for Boat-Tracker and Car-Map...
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boattracker 0 stars #132
A Web Application that tracks and manages boats...
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boatland 0 stars #133
Track script changes on play.bot.land bots...
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Air Vessels
TrackingPlane 1 stars #130
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Plane-Tracking 1 stars #131
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TrackingAndVisualizingPlanes 1 stars #132
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BlackBox 1 stars #133
Plane Tracker...
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Imagery
image-augment 20 stars #130
Image augmentation library for machine learning in javascript...
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python-3d-image-augmentation 20 stars #131
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image-baker 19 stars #132
Let's bake an image....
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AugmentImg 20 stars #133
A simple tool to boost your image data with simple, size-safe augmentations...
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Video
ComfyUI-DeepFuze 457 stars #130
DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, Face Swapping, Lipsync Translation, v...
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MM-Diffusion 453 stars #131
[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation...
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VideoAlign 449 stars #132
[NeurIPS 2025] Improving Video Generation with Human Feedback...
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Awesome-RL-for-Video-Generation 448 stars #133
A curated list of papers on reinforcement learning for video generation...
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