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Risenshine! Here is digest of signals harvested on 2026-10-14.
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Markets
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International - 10/14 |
-0.6311% -4.1442% MoM | -0.3603% -6.8075% MoM | +0.1922% -2.0872% MoM | -0.9884% -7.8969% MoM |
-0.9884% -7.8969% MoM | -0.7542% -5.0664% MoM | -1.651% -2.4049% MoM | -1.257% -5.7682% MoM |
+0.3574% -6.338% MoM | -1.036% -1.7275% MoM | -1.0064% -6.8591% MoM | -0.9072% -2.8129% MoM |
-1.5208% -1.7832% MoM | -0.4234% -2.8701% MoM | -2.221% +3.4792% MoM | -1.9239% -3.5211% MoM |
-1.078% -7.2533% MoM | -0.9551% -10.9107% MoM | -0.3338% -3.4842% MoM | -1.7882% -7.0106% MoM |
+0.774% -2.5935% MoM | -0.7182% -9.2226% MoM | -0.5392% -4.0478% MoM | -1.9925% -6.2262% MoM |
-2.0966% -8.8215% MoM |
Commodities - 10/14 |
-1.4882% -4.2893% MoM | -6.1133% -11.6467% MoM | +0.307% -1.9788% MoM | -3.7874% -8.9308% MoM |
-0.598% -2.4171% MoM | -0.9861% -3.1215% MoM | -1.953% +3.6592% MoM | -1.6652% +8.6157% MoM |
-0.3247% -7.992% MoM | +0.4942% -6.7635% MoM | -4.9224% -15.762% MoM | -1.8773% -5.1308% MoM |
Favorites - 10/14 |
+1.8622% -9.3825% MoM | -5.7322% +15.6888% MoM | -1.7959% +5.5955% MoM | -3.1595% +4.9014% MoM |
-8.8338% -9.8349% MoM | -1.1927% -16.6796% MoM | -1.7403% +0.213% MoM | +0.2887% +1.7761% MoM |
-0.3734% -2.1277% MoM | -6.8053% -0.4184% MoM | -4.5618% +0.9569% MoM | -4.0978% -1.0714% MoM |
-2.3974% -4.1799% MoM | -8.7245% +12.0921% MoM | +0.4952% +2.9663% MoM | -0.2278% -4.9755% MoM |
Sectors - 10/14 |
-1.081% +1.146% MoM | +2.5345% +3.7019% MoM | -0.5472% -4.4012% MoM | -0.8128% -3.7801% MoM |
-4.5008% +4.427% MoM | +0.1176% -5.7803% MoM | -0.8714% -4.5508% MoM | -0.9946% -5.1162% MoM |
+0.2562% -4.7961% MoM | -4.9111% -5.531% MoM |
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Gainers
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Treasure Global Inc. Common Stock +74.4% Treasure Global Inc has created an online-to-offline e-commerce platform business model that offers consumers and merchants instant rebates and affiliate cashback programs, while p... | AMTD IDEA Group American Depositary Shares, each representing six (6) Class A Ordinary Shares +64.5% AMTD IDEA Group is a diversified institution and digital solutions conglomerate group, connecting companies and investors with world-wide markets. The group operates its businesses... |
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Losers
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abrdn Global Infrastructure Income Fund Rights (expiring October 15, 2026) -98.6% ... | WF Holding Limited Ordinary Shares -91.4% WF Holding Ltd is a manufacturer of FRP products based in Malaysia. It has been providing high-quality and durable FRP products to various industries, including, among others, chem... |
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Business
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The shift from South Korea to Taiwan in AI-driven equity markets: economic impacts and investor sentiment in Asia |
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🗺 Background:- AI-driven equity markets have seen increasing activity in Asia, with South Korea previously serving as a regional hub.
- Taiwan's technology sector, especially semiconductor leaders like TSMC, has gained prominence amidst rapid AI adoption.
- Recent geopolitical tensions and regulatory shifts have influenced investor flows and market dynamics between South Korea and Taiwan.
- ASEAN and Asian stock exchanges are actively recalibrating strategies to adapt to the changing landscape of AI-driven investments.
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🎩 Key stakeholders:- TSMC (Taiwan Semiconductor Manufacturing Company) is a major beneficiary of the AI-driven market shift.
- South Korea's Samsung Electronics and the Korea Exchange are affected stakeholders.
- International institutional investors, such as BlackRock and Vanguard, are active in reallocating assets in Asian AI equities.
- Government agencies in both Taiwan and South Korea, including financial regulatory bodies, play key roles in shaping the policy environment.
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➡ Potential consequences:- Near-term: Taiwanese tech stocks could see continued capital inflows, strengthening the TAIEX index and influencing corporate expansion.
- Medium-term: South Korea may need to enhance AI industry competitiveness or risk further marginalization in regional equity markets.
- Institutional shifts may drive policy responses, regulatory adjustments, and incentives in both Taiwan and South Korea.
- Asian market volatility may increase as investors respond to AI-driven sector reallocations.
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The shortage of dental hygienists in the U.S.: causes, consequences, and regional disparities in patient care |
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🗺 Background:- As of 2023, the U.S. faces a growing shortage of dental hygienists, with the Bureau of Labor Statistics reporting a projected 9% growth in demand between 2021 and 2031.
- Dental hygienists are critical for preventive oral care, including cleaning teeth, screening for dental disease, and educating patients.
- Regional disparities are evident, with rural areas such as Appalachia and parts of the Midwest experiencing the most acute shortages.
- COVID-19 pandemic led to increased retirements and reduced new entrants in the profession, compounding shortages.
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🎩 Key stakeholders:- The American Dental Hygienists' Association (ADHA) advocates for workforce policy and tracks shortages across states.
- Major dental service providers like Aspen Dental and Pacific Dental Services report operational challenges due to staffing gaps.
- State dental boards regulate licensing and influence the regional distribution of hygienists, with stricter requirements in states like California and Texas.
- Dental hygiene educational programs in universities, including University of Michigan and NYU College of Dentistry, are expanding enrollment to address demand.
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➡ Potential consequences:- Near-term, patients in affected regions may face delayed preventive care, leading to increased incidence of dental decay and gum disease.
- Medium-term, persistent shortages could force dental practices to limit hours or close, exacerbating access issues and creating public health risks.
- Rural community clinics may lose funding or accreditation if unable to meet minimum staffing requirements.
- Elevated wages and incentives may strain dental practice profitability, potentially raising costs for patients.
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The response of U.S. strategic petroleum reserves and emergency oil stock policy to rising diesel prices: analysis of vulnerabilities and future readiness |
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🗺 Background:- The U.S. Strategic Petroleum Reserve (SPR) is the world’s largest supply of emergency crude oil, established in 1975 following oil crises.
- Rising diesel prices in 2026 have triggered policy evaluations concerning SPR release protocols and energy security.
- Historically, SPR releases are authorized during supply disruptions, including hurricanes (Katrina, 2005) and geopolitical events.
- Emergency oil stock policies are guided by the Department of Energy and the International Energy Agency’s (IEA) rules.
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🎩 Key stakeholders:- Key stakeholders include the U.S. Department of Energy (Secretary Jennifer Granholm), the International Energy Agency, and major fuel distributors such as ExxonMobil and Chevron.
- U.S. Congress oversees SPR policy, with recent hearings led by Senator Joe Manchin (D-WV) in 2026.
- Freight and logistics companies like FedEx rely on stable diesel prices for operations.
- The American Trucking Associations (ATA) represent stakeholders most impacted by diesel price volatility.
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➡ Potential consequences:- If diesel prices remain high, increased transportation costs may affect supply chains and consumer prices through Q4 2026.
- SPR policy rigidity may expose vulnerabilities during localized diesel shortages, prompting calls for more dynamic release mechanisms.
- Inadequate emergency stock policies could undermine U.S. readiness for future energy crises, affecting both economic stability and national security.
- Medium-term reforms may include SPR modernization and expanded coordination with the IEA to address fuel-type-specific crises.
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Growth of industrial parks in Laos: implications for Southeast Asian manufacturing and the role of Chinese investors |
🗺 Background:- Laos has seen a rapid expansion of industrial parks since 2021 as part of its economic diversification efforts.
- Chinese investment in Laos has increased notably, with Belt and Road Initiative projects contributing to infrastructure.
- The growth of industrial parks positions Laos as a regional hub for light manufacturing and logistics.
- Manufacturing in Southeast Asia is shifting, with Laos leveraging its geographical proximity to Thailand, Vietnam, and China.
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🎩 Key stakeholders:- The Laos Ministry of Planning and Investment oversees industrial park approvals and regulations.
- Chinese companies such as Yunnan Construction Engineering Group and Guangxi LiuGong Machinery play major roles in park development.
- Local entities like Savan Park Ltd and Vientiane Industrial Park Co., Ltd. manage major zones.
- Regional organizations including ASEAN monitor industrial development and cross-border supply chains.
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💡 News facts:- On October 14, 2026, Lao National Radio reported that the Vientiane Industry and Trade Park signed new investment agreements with Guangxi LiuGong Machinery, expanding manufacturing capacity (https://laonationalradio.org/economy/vientiane-industry-trade-park-expansion/, 2026-10-14).
- The South China Morning Post published on October 14, 2026, that Yunnan Construction Engineering Group launched a logistics center in Savan Park to serve cross-border e-commerce (https://scmp.com/business/asia/laos-industrial-park-logistics/, 2026-10-14).
- ASEAN News Center stated on October 14, 2026, that the Laos government approved three new industrial parks in Luang Prabang, targeting textiles and electronics exports (https://aseannews.org/laos-industrial-parks-investment/, 2026-10-14).
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➡ Potential consequences:- Near-term consequence: Laos is expected to see a surge in employment and foreign direct investment in 2027.
- Medium-term consequence: Increased Chinese presence may shift regional supply chains, influencing manufacturing competitiveness in Vietnam and Thailand.
- Expansion of industrial parks could accelerate infrastructure improvements along the Laos-China Railway corridor.
- Southeast Asian manufacturing may become more integrated, with Laos serving as a cost-efficient alternative for export industries.
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Passenger experience transformation: Starlink’s proliferation in in-flight WiFi and its effects on airline competition and connectivity standards |
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🗺 Background:- Starlink, operated by SpaceX, provides high-speed satellite internet for multiple industries including aviation.
- In-flight WiFi historically relied on slower, geostationary satellites, but Starlink's LEO technology offers faster and more reliable connectivity.
- Airlines are pursuing Starlink installations to differentiate passenger experience, focusing on real-time streaming and connectivity.
- The shift toward Starlink-powered WiFi marks a pivotal change in connectivity standards and competitive dynamics within commercial aviation.
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🎩 Key stakeholders:- SpaceX, led by Elon Musk, is the primary developer and provider of Starlink satellite technology.
- Major airlines such as United Airlines, Hawaiian Airlines, and Delta Air Lines are actively evaluating or deploying Starlink WiFi solutions.
- Regulatory institutions like the Federal Aviation Administration (FAA) oversee equipment certifications for in-flight connectivity.
- Competitor companies including Viasat and Gogo are faced with new challenges due to Starlink's rapid proliferation.
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➡ Potential consequences:- Near-term: Airlines equipped with Starlink may see passenger satisfaction and market share increases due to improved WiFi reliability and speed.
- Medium-term: Legacy in-flight connectivity providers could lose contracts and market dominance, prompting technological upgrades or industry consolidation.
- Connectivity standards across the aviation sector could shift, with regulators setting new benchmarks based on Starlink performance.
- A surge in inflight streaming and business productivity could strengthen airlines' positions in premium and long-haul segments.
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Science News
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Strategic frameworks for building durable AI-driven companies showcased at TechCrunch Disrupt 2026 |
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🗺 Background:- TechCrunch Disrupt 2026 focuses on innovative strategies for building resilient AI-driven companies.
- The event brings together leaders in technology, startups, and academia to discuss practical frameworks for sustainability.
- Strategic frameworks highlighted include scalability, ethical governance, and adaptation to evolving AI regulations.
- The conference is held annually and attracts global participation from the tech industry.
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🎩 Key stakeholders:- Major stakeholders include OpenAI, Google DeepMind, and Amazon AWS, all presenting at TechCrunch Disrupt 2026.
- Speakers include Sam Altman (OpenAI), Demis Hassabis (DeepMind), and Emily Chang (Amazon AWS).
- TechCrunch serves as the event organizer and primary media outlet for coverage.
- Academic institutions like MIT and Stanford are represented through panel discussions on AI strategy.
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➡ Potential consequences:- Near-term, companies adopting these frameworks may achieve faster scalability and improved regulatory compliance.
- Medium-term, increased collaboration among stakeholders could accelerate AI innovation and foster new business models.
- Enhanced visibility for these frameworks may prompt further investment in AI safety and governance.
- Academic involvement may lead to more robust evidence-informed approaches for durable AI architectures.
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Insights and outcomes from investor experiences at Expo Halls at major tech conferences |
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🗺 Background:- Investor engagement at Expo Halls is a pivotal part of major tech conferences such as CES, Web Summit, and TechCrunch Disrupt.
- Expo Halls often host startup booths, product demos, and networking sessions designed to facilitate capital flow and innovation.
- Past events, such as Mobile World Congress 2024 in Barcelona, drew over 100,000 attendees, including notable venture funds.
- Investor experiences at these venues are shaped by direct exposure to emerging technologies and founders.
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🎩 Key stakeholders:- Primary stakeholders include venture capital firms like Sequoia Capital and Andreessen Horowitz, tech startups, and conference organizers.
- Major technology companies such as Microsoft, Google, and Amazon frequently participate and sponsor Expo Halls.
- Institutional investors, accelerators, and media outlets play supporting roles in amplifying visibility and deal flow.
- Prominent individuals include Y Combinator partner Michael Seibel and Web Summit CEO Paddy Cosgrave.
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➡ Potential consequences:- Near-term, increased investor/startup engagement is likely to accelerate seed funding rounds for Expo Hall participants.
- Medium-term, heightened visibility at conferences may expedite acquisitions and strategic partnerships, particularly among emerging tech sectors.
- Expo Hall data could influence new conference formats prioritizing investor access and startup vetting.
- Market competition for booth space and investment meetings may intensify, driving higher participation costs.
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Impact of NDA policies on public perception and regulatory challenges for AI data centers |
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🗺 Background:- Non-Disclosure Agreements (NDAs) are commonly used in the tech sector to protect proprietary data and operations.
- AI data centers often operate under strict NDA policies to safeguard confidential information and algorithms.
- Public perception of AI transparency is influenced by the visible use of NDAs in high-profile data center operations.
- Regulatory bodies face challenges in oversight when key AI processes and infrastructural details are shielded by NDAs.
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🎩 Key stakeholders:- Major AI data center operators include companies like Microsoft, Google, and Amazon Web Services.
- The U.S. Federal Trade Commission (FTC) and European Data Protection Board are leading regulatory bodies in this space.
- Industry leaders such as Sundar Pichai (Google) and Satya Nadella (Microsoft) play pivotal roles in shaping policy.
- Civil society organizations, like Electronic Frontier Foundation, advocate for greater transparency and accountability.
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➡ Potential consequences:- Near-term: Increased scrutiny from regulators may delay AI center approvals, especially for expansions in sensitive jurisdictions.
- Medium-term: Persistent use of NDAs could erode public trust in AI infrastructure providers and prompt stricter regulatory responses.
- Conflicts between corporate confidentiality practices and government requirements may lead to legal challenges and reputational risks.
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Deployment patterns, public adoption, and crowd-sourced tracking of Tesla Cybercabs in Texas cities |
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🗺 Background:- Tesla Cybercabs are autonomous electric vehicles deployed for ride-sharing in major Texas cities including Austin, Houston, and Dallas.
- The deployment began in mid-2026, following regulatory approvals from the Texas Department of Transportation.
- Public adoption has accelerated as urban residents seek alternatives to traditional taxis and rideshares.
- Crowd-sourced tracking uses smartphone apps and real-time map platforms to monitor vehicle locations and usage patterns.
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🎩 Key stakeholders:- Tesla, Inc. is the developer and operator of the Cybercab fleet.
- The Texas Department of Transportation regulates autonomous vehicle operations in the state.
- Local city councils in Austin, Houston, and Dallas oversee urban deployment and zoning for Cybercabs.
- Third-party app developers facilitate crowd-sourced tracking and data sharing.
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➡ Potential consequences:- Near-term: Traditional taxi and rideshare jobs may decline in Texas cities as Cybercabs replace conventional services.
- Near-term: Increased urban mobility and reduced wait times for residents using Cybercabs.
- Medium-term: Data from crowd-sourced tracking could influence city planning and traffic management.
- Medium-term: Broad adoption may encourage similar deployments in other U.S. metropolitan areas.
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Economic implications and construction pace of AI-driven SpaceX data centers on future revenue projections |
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🗺 Background:- SpaceX is leveraging AI technology to construct large-scale data centers to support satellite internet and advanced analytics.
- The acceleration of data center construction is part of SpaceX's strategy to increase Starlink bandwidth and reduce latency, announced in Q2 2026.
- AI-driven infrastructure is projected to impact SpaceX's annual revenues, which recently exceeded $8 billion according to company filing data.
- These developments are occurring amidst increasing competition from tech giants like Amazon and Google in the cloud and satellite data sectors.
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🎩 Key stakeholders:- Elon Musk, the CEO of SpaceX, is pivotal in directing both AI investments and data center expansion.
- Major institutional collaborators include NASA and the U.S. Department of Defense, both relying on SpaceX's data services for missions.
- Key technology partners in hardware and AI systems include Nvidia and Microsoft, supplying chips and software to SpaceX centers.
- Regulatory oversight comes from the Federal Communications Commission and the European Space Agency due to international data access concerns.
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➡ Potential consequences:- Near-term, SpaceX may see increased Starlink subscription revenues due to improved data services enabled by AI data centers.
- Medium-term, AI integration could give SpaceX a competitive edge in analytics-driven satellite offerings and defense contracts.
- Rival data center companies may accelerate their own AI infrastructure rollouts to keep pace with SpaceX.
- These moves could intensify regulatory scrutiny on cross-border data flows and security compliance.
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Culture
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Kukai (also known as Kobo Daishi) "The mind is the root from which all things grow if you can understand the mind, everything else is included..." Kukai (774–835) was a Japanese Buddhist monk, calligrapher, and artist who founded the Shingon school of Buddhism. He is credited with introducing esoteric Buddhism to Japan and is celebrated for his calligraphy and religious art.... | Wang Wei "Empty mountain, no man is seen, but heard are the echoes of men's talk..." Wang Wei (699–759) was a Chinese poet, musician, painter, and statesman of the Tang dynasty. He is renowned for his profound and serene nature poetry and his contributions to Chinese landscape painting.... |
Yi Xing "The universe moves in harmony with the principles of Heaven and Earth; understanding these principles is the path to enlightenment..." Yi Xing (683–727) was a Chinese Buddhist monk, mathematician, astronomer, and mechanical engineer during the Tang dynasty. He is best known for improving the water-powered astronomical clock tower and advancing astronomical calculations.... | Emperor Xuanzong of Tang "A wise ruler does not seek to punish, but to guide and nurture the people..." Emperor Xuanzong of Tang (685–762) was the seventh emperor of the Tang dynasty, presiding over a flourishing period of cultural and political achievement known as the Kaiyuan era. His reign later suffered due to the An Lushan Rebellion, which marked the beginning of the dynasty's decline.... |
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NASA
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NASA Picture of the Day Credits: NASA / APOD |
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Github
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Trading tools |
Quantitative-Trading-Strategies-Using-Python 25 stars #170 | awesome-quant 25 stars #171 Awesome list of quantitative research, systematic trading, market microstructure, and ML-for-trading resources.... |
nq-es-trader-5k-payout 25 stars #172 NQ quantitative trading system — 9-model MNQ ensemble with walk-forward validation, funded account optimization, and interactive dashboards... | JPMorgan-Chase-virtual-internship-Quantitative-Research 24 stars #173 JP morgan virtual internship Quantitative Research... |
Sea Vessels |
ChatBoat 0 stars #170 A local AI chatbot built with Ollama, LangChain, and Streamlit — run open-source LLMs privately on your machine with full LangSmith tracking.... | Easytotrack 0 stars #171 Tracker for open water rowing boat racers... |
sea-surveillance-rescue-boat 0 stars #172 Arduino-based sea surveillance and search & rescue boat with GPS tracking and ultrasonic obstacle detection... | bumper-boats 0 stars #173 Sandbox for experimenting with sensor simulation, track generation and association... |
Air Vessels |
TrackingPlane 1 stars #170 | TrackingPlanesEvent 1 stars #171 This app is meant to download data from OpenSky API and sort the data on given topics like company, aircraft type and routes. Also, it gets all the data like speed, altitude, every... |
Plane-Tracking 1 stars #172 | TrackingAndVisualizingPlanes 1 stars #173 |
Imagery |
ROhsi 13 stars #170 Source code of "Hyperspectral Image Classification Using Random Occlusion Data Augmentation"... | Garage 13 stars #171 Cutting-edge Python library designed for generative image augmentation!... |
Adversarial-Policy-Gradient-Augmentation 13 stars #172 Adversarial Policy Gradient for Medical Deep Learning Image Augmentation... | image_augmentation 13 stars #173 Image augmentation and change bounding box at the same time.... |
Video |
Wan-Alpha 423 stars #170 [CVPR 2026 Highlight] High-Quality Text-to-Video Generation with Alpha Channel... | agnes-ai-generation-skill 420 stars #171 Agent Skill for Agnes AI text, image, and video generation APIs.... |
OmniCustom 420 stars #172 Official Implementation of 'OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model' ... | higgsfield-claude-skills 419 stars #173 19 Claude Code skills for Higgsfield AI — automate image generation, Seedance 2.0 video creation, and full UGC ad pipelines with Playwright browser automation... |