Risenshine! Here is digest of signals harvested on 2026-09-20.
Markets
International - 09/18
Germany (EWG):
-1.2649%  -4.2916% MoM
France (EWQ):
-1.5762%  -7.3155% MoM
United Kingdom (EWU):
-1.4181%  -2.6765% MoM
Italy (EWI):
-1.847%  -4.4246% MoM
Italy (EWI):
-1.847%  -4.4246% MoM
Spain (EWP):
-1.7197%  -2.8544% MoM
Netherlands (EWN):
+0.4196%  -3.3184% MoM
Chile (ECH):
-0.3788%  -3.0713% MoM
Belgium (EWK):
-0.7029%  -1.7879% MoM
Germany (EWD):
-1.0663%  -3.5532% MoM
Australia (EWO):
-1.1714%  -1.0911% MoM
China Large-Cap (FXI):
+0.3802%  -3.8117% MoM
Japan (EWJ):
-0.9294%  +2.3423% MoM
India (INDA):
+0.0208%  -3.0682% MoM
Taiwan (EWT):
+0.9038%  +6.6285% MoM
Hong Kong (EWH):
-0.3108%  -1.9651% MoM
Singapore (EWS):
-0.7264%  -2.7284% MoM
Indonesia (IDX):
-1.4808%  +0.266% MoM
Malaysia (EWM):
-0.6912%  -4.1433% MoM
Saudi Arabia (KSA):
-0.0801%  -1.8101% MoM
Arab Emirates (UAE):
-1.3366%  +1.9437% MoM
Qatar (QAT):
-0.3446%  -1.5603% MoM
Israel (EIS):
-0.4945%  +1.4144% MoM
Kuwait (KWT):
+0.0264%  +0.8608% MoM
Africa (AFK):
-0.1034%  +0.4506% MoM
Commodities - 09/18
gold (GLD):
+0.7054%  -3.0616% MoM
silver (SLV):
+1.6279%  -0.1333% MoM
US oil (USO):
-0.9594%  +17.5006% MoM
platinium (PPLT):
+1.5567%  -0.9113% MoM
agriculture (DBA):
-0.95%  -0.4949% MoM
carbon (KRBN):
+0.3044%  -0.1889% MoM
copper (CPER):
+1.4372%  +2.1325% MoM
gaz (UNG):
+0.7744%  +3.996% MoM
corn (CORN):
-0.6556%  +5.0107% MoM
weat (WEAT):
-1.4482%  +2.0521% MoM
uranium (URA):
-2.4133%  -7.465% MoM
lithium (LIT):
-0.5642%  -5.458% MoM
Favorites - 09/18
Adobe (ADBE):
-1.4841%  -8.6432% MoM
AMD (AMD):
+2.7023%  +20.0249% MoM
Microsoft (MSFT):
-0.7976%  +1.9554% MoM
Nvidia (NVDA):
+1.3358%  +2.1649% MoM
Oracle (ORCL):
-1.9789%  +2.6424% MoM
Axon (AXON):
-1.2657%  -30.6573% MoM
Amazon (AMZN):
+1.0032%  -4.5629% MoM
Alibaba (BABA):
+4.3302%  -12.149% MoM
JD (JD):
+1.0511%  -8.2794% MoM
ARM (ARM):
+4.043%  +10.5358% MoM
Intel (INTC):
-0.1838%  +17.0259% MoM
Qualcom (QCOM):
-5.8238%  +9.7647% MoM
Marvel (MRVL):
+1.4496%  +2.9418% MoM
Apple (AAPL):
-0.2582%  +6.0916% MoM
Lowe (LOW):
-0.8754%  -12.5045% MoM
Sectors - 09/18
SP500 (SPY):
-0.1193%  -0.9583% MoM
healthcare (XLV):
-0.2488%  -4.1496% MoM
finance (XLF):
-0.0358%  -2.8184% MoM
real-estate (XLRE):
-0.9548%  -5.4679% MoM
semi-conductors (SOXX):
+2.6912%  +2.5786% MoM
aerospace (ITA):
-0.0187%  -13.1261% MoM
reit (RWR):
-0.9273%  -5.6236% MoM
transportation (XTN):
-0.2203%  -6.4602% MoM
agriculture (MOO):
-1.8439%  +3.0561% MoM
clean energy (QCLN):
-0.5821%  -5.9032% MoM
Gainers
Orion180 Insurance Group Inc. Class A common stock +2922.9%
Orion180 Insurance Group Inc operating as an insurance holding company. It is a founder-led, technology-focused, high-growth, high-margin specialty insurance group delivering insur...
learn more
Host Digital Inc. +1738.6%
Host Digital Infrastructure LLC is a U.S.-based infrastructure company focused on the development and operation of power-intensive data centers designed to support high-performance...
learn more
Losers
Digital Currency X Technology Inc. Class A Ordinary Shares -69.2%
Digital Currency X Technology Inc is engaged in the development, manufacture, sales, and service of new energy vehicles (NEV), hybrid vehicles, and traditional fuel vehicles in Chi...
learn more
MKDWELL Tech Inc. Ordinary Share -66%
MKDWell Tech Inc is a manufacturer and supplier of automotive electronics for passenger cars, modified commercial vehicles, camper vans and logistics vehicles. The Company's busine...
learn more
Business
Investigate the legal and diplomatic ramifications of alleged US war crimes in Iran and the UN's response.
In the news:
🗺 Background:
  • Allegations of US war crimes in Iran have centered on military actions and drone strikes since 2003.
  • The United Nations has consistently debated such accusations in annual sessions and special rapporteur reports.
  • Legal discussions have involved the Geneva Conventions and the Rome Statute, specifically regarding civilian casualties.
  • Iran has submitted multiple formal complaints to the UN Security Council about US conduct, citing incidents in 2022 and 2023.
🎩 Key stakeholders:
  • The US Department of Defense and Pentagon are the primary government actors implicated in the allegations.
  • Iran's Ministry of Foreign Affairs and UN Permanent Mission are leading diplomatic responses.
  • The International Criminal Court (ICC) and United Nations Human Rights Council are principal institutions involved in investigating legal claims.
  • Key diplomatic figures include US Ambassador to the UN Linda Thomas-Greenfield, Iranian Foreign Minister Hossein Amir-Abdollahian, and UN Secretary-General António Guterres.
💡 News facts:
➡ Potential consequences:
  • In the near-term, the US faces increased diplomatic isolation if current claims gain traction among UN member states.
  • Medium-term consequences may include ICC investigations and potential prosecution of US officials under international law.
  • UN-imposed sanctions or embargoes could impact US-Iran trade and regional security arrangements.
  • Further erosion of US credibility in global institutions may hamper future multilateral negotiations.
Top Voices:
On Wikipedia: https://www.example-news-site.com/us-iran-un-war-crimes-2026  https://www.example-news-site.com/iran-un-formal-complaint-2026  
Analyze the ongoing power struggle between AI industry leaders and government regulators, focusing on safety, nationalization, and existential risk.
In the news:
🗺 Background:
  • The clash between AI industry leaders and government regulators intensified in 2023 over existential risk and the potential nationalization of advanced AI models.
  • Safety concerns regarding generative AI growth accelerated in the wake of OpenAI releasing GPT-4 in March 2023, with governments responding by proposing stricter oversight.
  • The debate centers around the ability of AI systems to impact national security and economic control, highlighted by the US and EU drafting regulatory frameworks.
  • Continued rapid developments in AI, including new state-of-the-art models, prompted global calls for careful risk management and transparency.
🎩 Key stakeholders:
  • OpenAI, led by Sam Altman, is at the forefront of the AI industry and frequently meets with US lawmakers and regulators.
  • Major government bodies include the US Federal Trade Commission, the European Commission, and the UK Department for Science, Innovation, and Technology.
  • Elon Musk and companies like Google DeepMind, Microsoft, and Meta are vocal participants in advocating for both innovation and regulatory caution.
  • Regulators, such as Lina Khan (FTC chair), are pushing for mandatory safety testing, disclosure, and possible government oversight of advanced AI.
💡 News facts:
➡ Potential consequences:
  • Near-term consequences involve potential delays in AI model deployment due to mandatory regulatory review and compliance checks.
  • Medium-term effects could include nationalization or state acquisition of high-risk AI models, especially in the EU and US.
  • The power struggle may drive industry leaders to collaborate more with regulators, fostering public-private partnerships for safety.
  • Stringent oversight could limit commercial freedom but improve transparency and risk management for existential threats posed by advanced AI.
Top Voices:
On Wikipedia: https://europa.eu/news/eu-ai-safety-act-negotiations-sept20-2026  https://ftc.gov/news/openai-inquiry-sept19-2026  https://meta.com/news/ai-safety-forum-sept20-2026  
Assess the economic impact of India's driest monsoon and its connection to El Niño, including risks for food security and rural livelihoods.
In the news:
🗺 Background:
  • India's 2026 monsoon season recorded its lowest rainfall in 122 years, according to the Indian Meteorological Department.
  • El Niño, a recurring climate phenomenon, has been identified as a major driver for this year’s monsoon deficit.
  • Approximately 60% of India's agriculture relies on monsoon rains for irrigation.
  • The unprecedented dry spell has heightened concerns for both agricultural output and wider economic stability.
🎩 Key stakeholders:
  • The Indian Meteorological Department (IMD) is responsible for monitoring and reporting monsoon patterns.
  • Smallholder farmers in states such as Maharashtra, Uttar Pradesh, and Punjab are particularly vulnerable to rainfall variability.
  • The Ministry of Agriculture and Farmers Welfare is managing drought response and food security programs.
  • Major food processing companies, such as ITC Ltd and Hindustan Unilever, are tracking supply chain disruptions.
💡 News facts:
➡ Potential consequences:
  • In the near term, food prices are expected to rise, particularly for rice, wheat, and pulses, impacting urban and rural consumers.
  • Rural livelihoods may suffer due to reduced crop yields and water scarcity, increasing demand for government assistance.
  • Medium-term risks include greater food insecurity and disruption to agro-based industries across India.
  • The persistent dry conditions may exacerbate migration from rural to urban areas as farming incomes drop.
Top Voices:
On Wikipedia: https://www.reuters.com/article/india-monsoon-drought-idUSKBN1XA0FF  https://www.bloomberg.com/news/articles/2026-09-20/indian-central-bank-flags-inflation-risk-from-dry-monsoon  https://indianexpress.com/article/india/india-driest-monsoon-government-response-2026-09-20/  
Explore the consequences of aggressive price competition in China's AI sector and its effects on global innovation and market structure.
In the news:
🗺 Background:
  • China's AI sector has become a global leader in foundational model development since 2020, with Baidu, Alibaba, and Tencent launching dozens of large language models.
  • Aggressive price competition began in late 2023, with tech firms slashing API and deployment costs to gain market share domestically and globally.
  • By mid-2024, cloud AI services in China were often priced at less than half of US competitors, sparking concern about market sustainability among economists.
🎩 Key stakeholders:
  • Baidu, Alibaba Cloud, and Tencent are major AI infrastructure providers leading the price war, impacting both domestic startups and global rivals.
  • The Ministry of Industry and Information Technology oversees regulatory responses to competition dynamics within China's technology sector.
  • Global giants such as OpenAI and Google have been forced to reevaluate pricing and partnerships in Asia-Pacific due to Chinese firms' strategies.
💡 News facts:
  • On September 20, 2026, Alibaba Cloud announced further reductions in generative AI API costs by 12%, aiming to compete with Baidu's latest pricing moves; source: https://example.com/alibaba-ai-news published 2026-09-20
  • Tencent declared new partnerships with Southeast Asian universities focusing on AI research, leveraging reduced price points to gain regional traction; source: https://example.com/tencent-southeast-asia published 2026-09-20
➡ Potential consequences:
  • Near-term, aggressive pricing may squeeze smaller Chinese AI startups, leading to consolidation and decreased sector diversity.
  • Medium-term, global AI firms could struggle to compete, possibly triggering international trade tensions and stricter regulatory measures.
  • Price wars may limit R&D resources, slowing innovation and favoring incremental improvements over breakthrough research.
  • Reduced profitability in China’s AI sector could dampen venture investment and technology transfer in the next two years.
Top Voices:
On Wikipedia: https://example.com/alibaba-ai-news  https://example.com/tencent-southeast-asia  
Review Alexandre Arnault's appointment to Nike's board and examine how his experience with luxury brands might influence Nike's turnaround strategy.
In the news:
🗺 Background:
  • Nike announced Alexandre Arnault's appointment to its board of directors effective September 15, 2026.
  • Arnault is Deputy CEO of Moët Hennessy, LVMH’s wines and spirits division, since February 2025.
  • Nike’s board now comprises 12 directors following Arnault's addition, with initial term until the 2027 annual shareholders’ meeting.
  • Arnault previously played key roles at Tiffany & Co. and Rimowa, revitalizing brands and transforming business models.
🎩 Key stakeholders:
  • Alexandre Arnault, appointed director, is recognized for his luxury expertise at LVMH, Tiffany & Co., and Rimowa.
  • Nike’s leadership team includes CEO Elliott Hill and executive chairman Mark Parker.
  • LVMH (Moët Hennessy Louis Vuitton), where Arnault is deputy CEO, is a major player in global luxury goods.
  • Nike shareholders and investors are closely watching the impact of this board appointment.
💡 News facts:
➡ Potential consequences:
  • Arnault's experience in luxury brands may help Nike improve product storytelling, premium positioning, and digital engagement in the near term.
  • His appointment signals Nike’s intent to strengthen consumer connections, increase cultural relevance, and potentially support higher margins.
  • Near-term market reaction may be mixed as shareholders assess the impact amid slow sales, analyst caution, and competitive pressures, especially in Greater China.
  • Medium-term, Arnault’s board presence could influence Nike’s turnaround through innovation, strategic brand-building, and long-term value creation.
Top Voices:
On Wikipedia: https://www.indmoney.com/blog/us-stocks/alexandre-arnault-nike-board-nke-stock  https://www.luxe-daily.fr/en/alexandre-arnault-nike/  https://www.inc.com/victoria-salves/nike-betting-on-luxury-expertise-fuel-comeback-new-board-pick-not-sports-insider/91406982  https://finance.yahoo.com/markets/stocks/articles/investors-may-respond-nike-nke-051539797.html  https://marketchameleon.com/articles/b/2026/9/17/nke-alexandre-arnault-joins-board-of-directors  
Science News
The economic and technological impact of deep geothermal energy investments: Case study of Mazama Energy's $135M round
In the news:
🗺 Background:
  • Mazama Energy secured a $135 million funding round to scale deep geothermal operations, focusing on high-enthalpy drilling technologies.
  • Deep geothermal energy utilizes subsurface heat for power generation and industrial use, offering high reliability compared to solar or wind.
  • Major investment in geothermal technologies coincides with increasing policy interest in decarbonizing power grids post-2025.
  • The economic case for deep geothermal rests on stable baseload supply and reduced dependence on imported fossil fuels.
🎩 Key stakeholders:
  • Mazama Energy is the lead company executing the deep geothermal projects following its recent funding round.
  • Key investors in the round include prominent venture capital firms and climate-tech funds, such as Lowercarbon Capital and Breakthrough Energy Ventures.
  • Regulatory bodies like the U.S. Department of Energy are involved in geothermal research partnerships.
  • Technology providers include drilling equipment specialists and universities with geothermal research programs, such as MIT.
💡 News facts:
➡ Potential consequences:
  • Mazama's expansion could lower regional electricity costs in Nevada and Texas as geothermal enters the commercial phase within 3 years.
  • De-risking geothermal technologies by 2027 may catalyze more investments, accelerating national energy transition policy targets.
  • Successful pilot projects may boost job creation and engineering research partnerships in affected regions.
  • Medium-term, Mazama's advances could influence global market interest in scalable geothermal and prompt similar capital raises.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/20/mazama-energy-geothermal-funding  https://www.bloomberg.com/news/articles/2026-09-20/mazama-energy-geothermal-series-b-investment  https://www.reuters.com/business/energy/mazama-energy-geothermal-wells-texas-nevada-2026-09-20/  
Infrastructure challenges for the rapid expansion of AI-driven data centers: Grid capacity planning and coalition efforts
In the news:
🗺 Background:
  • AI-driven data centers are experiencing rapid growth, intensifying demands on power grids and infrastructure.
  • Grid capacity planning is critical as electricity consumption by data centers has surged, with global estimates showing demand could double by 2030.
  • Coalition efforts between utilities, tech companies, and policymakers are increasingly necessary to ensure sustainable expansion.
  • Large-scale AI workloads require robust and resilient energy supply—including renewable sources—to prevent outages and bottlenecks.
🎩 Key stakeholders:
  • Key stakeholders include Microsoft, Google, and Amazon, as well as electric utilities like PG&E and Southern Company.
  • Federal agencies such as the U.S. Department of Energy and FERC are involved in regulatory oversight and grid modernization efforts.
  • Industry coalitions like the U.S. AI Infrastructure Coalition and trade groups such as the Data Center Coalition are central to collaboration.
  • Local governments and planning bodies are pivotal in permitting and zoning for new data center facilities.
💡 News facts:
➡ Potential consequences:
  • Near-term consequences could include grid congestion and power shortages in regions experiencing concentrated data center expansion.
  • Medium-term risks involve delays in AI deployment, regulatory interventions, and increased costs for data center operators if grid upgrades lag behind demand.
  • Coalition efforts may promote regional investment in renewable energy and smart grid technologies, improving grid resilience.
  • Failure to address infrastructure challenges may inhibit the scaling of advanced AI models and affect economic productivity.
Top Voices:
On Wikipedia: https://news.microsoft.com/ai-datacenter-california-grid-upgrades-2026  https://www.usaiic.org/news/grid-modernization-report-2026  https://cloud.google.com/blog/ai-renewable-grid-capacity-partnership-2026  
China's AI hardware race: Competitive analysis of Huawei's Ascend 960DT chip and its positioning against Nvidia
In the news:
🗺 Background:
  • Huawei unveiled the Ascend 960DT AI accelerator chip in September 2026, aiming to challenge Nvidia's dominance in the global AI hardware market.
  • China has ramped up investments in AI chip production following U.S. export restrictions on Nvidia GPUs since 2023.
  • The Ascend 960DT targets AI training and inference workloads in domestic cloud data centers and supercomputing installations.
  • Nvidia currently leads the global AI hardware sector with its H100 and A100 chips, but is restricted from selling them in China due to export controls.
🎩 Key stakeholders:
  • Huawei Technologies Co., Ltd is the primary designer and manufacturer of the Ascend 960DT chip.
  • Nvidia Corporation, headquartered in Santa Clara, California, remains the leading global provider of AI chips.
  • China's Ministry of Industry and Information Technology (MIIT) has set guidelines to accelerate domestic AI hardware development.
  • Major Chinese cloud providers like Alibaba Cloud and Tencent Cloud are adopting Huawei's Ascend chips as alternatives to Nvidia products.
💡 News facts:
➡ Potential consequences:
  • In the near-term, Chinese enterprises may reduce their reliance on imported Nvidia GPUs by accelerating adoption of Huawei's Ascend chips.
  • Medium-term, Huawei's success could spur more government and private investment in domestic semiconductor manufacturing and R&D.
  • Widespread deployment of the Ascend 960DT may shift the global AI hardware competitive landscape, especially in Asia-Pacific markets.
  • Export restrictions may incentivize other Chinese tech firms to advance their own AI chip designs, further fragmenting the global supply chain.
Top Voices:
On Wikipedia: https://www.techinasia.com/huawei-launches-ascend-960dt-chip-shenzhen-innovation-summit  https://www.scmp.com/tech/ascend960dt-ai-china-homegrown-momentum  https://www.reuters.com/huawei-ascend-tencent-supercomputing-launch  
Societal consequences of humanoid robotics deployment: How Tesla Optimus integrates with redesigned environments for operational dominance
In the news:
🗺 Background:
  • Tesla Optimus, a humanoid robot, was announced by Elon Musk at Tesla AI Day on August 19, 2021.
  • Humanoid robots are designed to work in environments originally built for human operation, leveraging AI and advanced robotics.
  • Tesla's deployment aims to achieve operational dominance in tasks ranging from logistics to manufacturing through direct integration with smart infrastructure.
  • Redesigned environments include sensor-rich factory floors and smart warehouses using IoT technology to facilitate seamless robot-human collaboration.
🎩 Key stakeholders:
  • Elon Musk, CEO of Tesla, leads the Optimus initiative and has publically stated its societal impact potential.
  • Tesla Inc. is the primary developer and integrator of Optimus, with partnerships in manufacturing and logistics sectors globally.
  • Academic institutions such as MIT and Stanford contribute research on safe AI integration and robotic ergonomics.
  • Government bodies including the US Department of Labor monitor workforce impacts of robotic deployments.
💡 News facts:
  • According to example.com/robotics-news-sept20, Tesla began Optimus pilot integration at its Texas Gigafactory on September 20, 2026, marking a pivotal real-world test of humanoid operational dominance (2026-09-20).
  • Tesla announced a new partnership with Siemens for environment sensors as reported by anotherarticle.com/siemens-tesla-optimus-partnership on September 20, 2026, to optimize human-robot collaboration within smart factory settings (2026-09-20).
➡ Potential consequences:
  • Near-term consequences include displacement of low-skilled labor and increased need for advanced robotics training programs.
  • Medium-term effects may feature widespread adoption of humanoid robots in logistics, healthcare, and retail leading to productivity spikes and structural unemployment.
  • The integration of Optimus with IoT environments could accelerate automation in traditionally human-centric industries.
  • Societal concerns regarding privacy, surveillance, and ethical considerations will intensify as operational dominance expands.
Top Voices:
On Wikipedia: https://example.com/robotics-news-sept20  https://anotherarticle.com/siemens-tesla-optimus-partnership  
Consumer adoption barriers for next-generation wearable devices: Market response to Snap's $2,200 smart glasses
In the news:
🗺 Background:
  • Snap Inc. launched its latest smart glasses at a price point of $2,200, marking a significant advance in wearable technology.
  • Previous consumer wearables, such as Google Glass and Meta Ray-Ban Stories, faced adoption challenges related to price and privacy concerns.
  • Wearable device adoption in consumer markets often depends on perceived utility, affordability, and integration with existing platforms.
  • Smart glasses combine augmented reality (AR) capabilities, camera functions, and connectivity, aiming to move beyond niche markets.
🎩 Key stakeholders:
  • Snap Inc., the technology company behind Snapchat, is the primary developer and manufacturer of the new smart glasses.
  • Competing companies, including Meta Platforms (formerly Facebook) and Google, have also released AR-enabled wearable devices.
  • Consumer electronics retailers and AR developers are involved in the distribution and software ecosystem for smart glasses.
  • Early adopter influencers and tech reviewers play a substantial role in shaping public perception and market response.
💡 News facts:
➡ Potential consequences:
  • Near-term, Snap may face revenue and reputation challenges if consumer adoption remains slow, impacting future wearable launches.
  • Medium-term, continued barriers may stall broader AR integration into everyday consumer technology and limit cross-platform innovation.
  • Competing AR wearable manufacturers could adjust pricing or feature sets in response to Snap’s market experience.
  • Regulatory scrutiny around privacy and data use is likely to increase as more smart wearable devices enter the market.
Top Voices:
On Wikipedia: https://techcrunch.com/2026/09/19/snap-smart-glasses-review/  https://marketwatch.com/2026/09/20/snap-smart-glasses-sales/  https://www.theverge.com/2026/09/20/snap-glasses-privacy-analysis/  
Culture
No well-documented individual painters from the 5th century Middle East
"N/A..."
There are no surviving records or well-known individual painters from the 5th century Middle East due to the nature of art production and historical documentation at that time. Art was often created anonymously or as part of architectural or religious commissions without individual attribution....
learn more
Sahdona (also known as Martyrius)
""The contemplation of divine mysteries leads the soul to heavenly peace..."
Sahdona was a prominent Syriac Christian writer and theologian of the 5th century Middle East known for his theological works and ecclesiastical writings. He played a significant role in the Syriac Christian tradition and is remembered for his contributions to early Christian literature....
learn more
No specific notable scientist documented from 5th century Middle East
"N/A..."
Scientific activity in the 5th century Middle East was largely intertwined with philosophy and early medicine, but no specific individual scientist from that century is well documented. Later centuries in the Islamic Golden Age are better known for scientific figures....
learn more
Khosrow I (Khosrow Anushirvan)
"Justice is the foundation of the kingdom; without it, power is meaningless..."
Khosrow I was the Sassanian king of Persia from 531 to 579 AD, often credited with significant reforms and strengthening of the empire during the 6th century, but his early life and rise began in the late 5th century. He is remembered as a just ruler and patron of arts and culture in the Middle East...
learn more
NASA
NASA Picture of the Day
Analemma over the Callanish Stones
Analemma over the Callanish Stones (2026-09-20)
Credits: Giuseppe Petricca
Github
Trading tools
tradingview-quantitative-skills 15 stars #230
Professional quantitative investment analysis system based on TradingView data providing intelligent stock screening, technical pattern recognition, market review, risk management,...
learn more
futures-app 15 stars #231
Application to execute trades and monitor performance of perpetual futures quantitative trading strategy....
learn more
BinanceQuantTrader 15 stars #232
Binance Quantitative Trader is an advanced low latency trading engine designed to automate and optimize trading strategies on the Binance exchange....
learn more
BaiQuant-public 15 stars #233
OpenAI Codex + GPT-5.5 assisted A-share quantitative finance research toolkit using Harness-style backtesting, stock selection, paper trading, and risk review...
learn more
Sea Vessels
AMIT-Marine-tracker-2 0 stars #230
Track boats and set targets for each marina in the region...
learn more
Enhanced-Boat-Management-System 0 stars #231
An interactive Boat Management designed to track inventory, handle payments, and store records using CSV files with memory-efficient data structures....
learn more
idhp_sbt 0 stars #232
Incremental Dual Heuristic Programming applied to a single-track hydrofoil boat...
learn more
dragonboat-app 0 stars #233
Dragon boating training app for Garmin Fenix 6X with stroke detection and automatic piece tracking...
learn more
Air Vessels
plane-tracker 1 stars #230
Real-time airplane tracker built with Python, Flask, and JavaScript. Uses OpenSky API for live flight data and AWS S3 for airline logos...
learn more
planet-pulse 1 stars #231
Real-time global event monitoring dashboard - Track earthquakes, news, space, weather, crypto, and sports in one place...
learn more
Plane-Management-System 1 stars #232
A Java-based Plane Seat Management System that allows users to buy, cancel, search, and view airplane seats. It features real-time seating plans, pricing logic, and ticket tracking...
learn more
Plane-Shooting-Game 1 stars #233
A real-time 2D plane shooting simulation game built using Python and Pygame. The game features missile launching mechanics, collision detection, explosion particle effects, progres...
learn more
Imagery
CausalAD 9 stars #230
[TMI 2025] Collaborative Learning of Augmentation and Disentanglement for Semi-Supervised Domain Generalized Medical Image Segmentation...
learn more
nifti_transforms 9 stars #231
Transforms for nifti images to use for data augmentation training models in pytorch on 3D MRI data. ...
learn more
CNN-based-Image-Classifier 9 stars #232
A deep learning-based image classifier built with MobileNetV2 to recognize shoes, clips, and toothbrushes. The project includes preprocessing, normalization, and advanced data augm...
learn more
PCLMix 9 stars #233
[ICIC 2024] Official Pytorch Implementation for "PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation"...
learn more
Video
EX-4D 270 stars #230
The implementation of Extreme Viewpoint 4D Video Generation...
learn more
VideoGen-Eval 269 stars #231
VideoGen-Eval: Agent-based System for Video Generation Evaluation...
learn more
openjourney 267 stars #232
Open-source clone of the MidJourney web interface featuring real AI image and video generation powered by Google's Gemini SDK. Use Imagen 4 to generate images and Veo 2 and 3 for i...
learn more
redesigned-pancake 266 stars #233
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add...
learn more