Sandeep singh

583 posts

Sandeep singh

Sandeep singh

@Sandeep3799

Katılım Ağustos 2023
392 Takip Edilen35 Takipçiler
Sandeep singh retweetledi
AI Frontliner
AI Frontliner@AIFrontliner·
BREAKING: Claude can now research like a Stanford PhD student. Here are 6 insane Claude prompts that turn 40+ research papers into structured literature reviews, knowledge maps, and research gaps in minutes (Save this)
AI Frontliner tweet media
English
23
304
1.6K
247.3K
Sandeep singh retweetledi
Radha Tripathi
Radha Tripathi@Radha_AI·
Instead of watching a 2-hour movie, watch Warren Buffett’s most iconic 1 hour investing lecture.
English
13
250
774
45.8K
Sandeep singh retweetledi
Mushtaq Bilal, PhD
Mushtaq Bilal, PhD@MushtaqBilalPhD·
Sci-Hub is an evil website that pirated 85M+ research papers and made them freely available And now they've added AI to their database to make Sci-Bot. It answers your questions using latest, full-text articles. But DO NOT use it. We should all try to make billion-dollar academic publishers richer. I'm putting the link below so you know how to avoid it.
English
839
9K
47.1K
4.9M
Sandeep singh retweetledi
Allen Braden
Allen Braden@allen_explains·
A professor at MIT spent his life studying uncertainty. Near the end, he compressed everything into a single one-hour lecture. No buzzwords. No heavy theory. Just a clear explanation of how prediction really works. Not long after, he was gone. This is that talk. The idea at its core is simple but powerful: prediction isn’t about being certain it’s about understanding probabilities Most people will scroll past it. A few will see it and start thinking differently. Save it.
English
35
511
2.4K
288.9K
Sandeep singh retweetledi
Manisha Mishra
Manisha Mishra@manishamishra24·
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
English
70
2.4K
13.2K
1.6M
Sandeep singh retweetledi
wincy.eth
wincy.eth@gusik4ever·
the fastest growing GitHub repos in finance this week: 1. FinceptTerminal (+10.7K ★) open-source Bloomberg alternative built in C++20 + Qt6. 37 AI agents in Buffett/Munger/Lynch/Graham style. 100+ data connectors. real-time trading with 16 broker integrations. CFA-level analytics in a single native binary. no Electron, no browser. 2. TradingAgents (+1.5K ★) multi-agent LLM trading framework. fundamental analyst, sentiment analyst, technicals, risk manager; all working together. supports GPT-5.x, Gemini 3.x, Claude 4.x, Grok. built by UCLA/MIT researchers. 3. last30days-skill (+1.4K ★) AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket and the web in the last 30 days. plug it into any agent. zero setup, instant alpha. 4. daily_stock_analysis (+1K ★) LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with exact entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions. 5. QuantDinger (+919 ★) self-hosted AI quant OS. research markets, generate Python strategies, backtest ideas, run live trading. crypto, US stocks via IBKR, forex via MT5. one Docker Compose, your infra, your data. 6. HKUDS/Vibe-Trading (+611 ★) personal trading agent from HKU. natural language → strategy → backtest → export to TradingView/MT5/TDX. 71 finance skills, 29 swarm team presets, cross-session memory. one pip install. 7. freqtrade/freqtrade (+467 ★) free, open-source crypto trading bot in Python. supports all major exchanges, full backtesting, strategy optimization, Telegram control. 8. OpenBB-finance/OpenBB (+447 ★) open-source Bloomberg alternative. stocks, crypto, options, derivatives, fixed income — one platform. integrates with AI agents via MCP. 9. ashishpatel26/500-AI-Agents-Projects (+386 ★) curated collection of 500 AI agent use cases across industries, including finance. best resource for finding what's actually being built with agents right now. 10. hsliuping/TradingAgents-CN (+386 ★) Chinese fork of TradingAgents. fully localized for A-share markets (Shanghai/Shenzhen), Chinese data sources, and domestic LLMs. bookmark this and start today.
wincy.eth tweet media
wincy.eth@gusik4ever

the fastest growing GitHub repos in finance this week: 1. shiyu-coder/Kronos (+6.5K ★) first open-source foundation model for financial candlesticks. trained on 45+ global exchanges. predicts OHLCV candles as tokens — literally GPT for price charts. accepted at AAAI 2026. 2. virattt/ai-hedge-fund (+4.9K ★) a team of AI agents simulating Buffett, Munger, Ackman, Cathie Wood and others. each agent runs its own strategy, a Portfolio Manager makes the final call. one of the most viral finance repos right now. 3. TauricResearch/TradingAgents (+~3K ★) multi-agent LLM trading framework. fundamental analyst, sentiment analyst, technicals, risk manager — all working together. supports GPT-5.x, Gemini 3.x, Claude 4.x, Grok. built by UCLA/MIT researchers. 4. ZhuLinsen/daily_stock_analysis (+~2K ★) LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with exact entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions. zero cost, zero server. 5. hsliuping/TradingAgents-CN (+~1.5K ★) Chinese fork of TradingAgents. fully localized for A-share markets (Shanghai/Shenzhen), Chinese data sources, and domestic LLMs. 5.1K forks — very active community. 6. OpenBB-finance/OpenBB (+~1K ★) open-source Bloomberg alternative. stocks, crypto, options, derivatives, fixed income — one platform. integrates with AI agents via MCP. 66K total stars and still climbing. 7. freqtrade/freqtrade (+~700 ★) free, open-source crypto trading bot in Python. supports all major exchanges, full backtesting, strategy optimization, Telegram control. release 2026.3 just dropped. 8. AI4Finance-Foundation/FinGPT (+~500 ★) open-source financial LLMs trained on real market data — news, filings, earnings. built for sentiment analysis and robo-advisors. models on HuggingFace, ready to deploy. 9. juspay/hyperswitch (+~400 ★) open-source payments router in Rust. one API to connect Stripe, Adyen, PayPal and 50+ providers. smart routing, high performance, built for fintech scale. 10. microsoft/qlib (+~350 ★) Microsoft's AI quant investment platform. covers the full pipeline: alpha seeking, backtesting, model training, live trading. supports ML/DL, RL, and auto-quant. bookmark this and start today.

English
36
67
555
365.4K
Sandeep singh retweetledi
Suryansh Tiwari
Suryansh Tiwari@Suryanshti777·
Holy shit… someone just made machine learning click. Not static diagrams. Not math-heavy PDFs. Not black-box training. Real algorithms — training step-by-step — visually. It’s called Machine Learning Visualized and it lets you watch models learn in real time. Here’s why this is different: Instead of dumping theory first, it shows optimization happening live: • gradients moving • weights updating • decision boundaries shifting • loss decreasing • models converging You literally see learning happen. Everything is built from first principles: • Gradient Descent • Logistic Regression • Perceptron • PCA • K-Means • Neural Networks • Backpropagation No magic. Just math → code → visualization. Each chapter is a Jupyter notebook that derives the math then implements it then animates training. So you can watch: • neural nets shape decision surfaces • PCA rotate feature space • K-means clusters form live • gradient descent find minima • sigmoid reshape boundaries • backprop update weights step-by-step This solves a huge problem: Most ML resources teach: math → code → ??? → trained model This shows: math → code → learning process → result Which means you finally understand: • why gradients matter • how weights evolve • what loss landscapes look like • how convergence actually happens • why deep nets learn non-linear functions Even better: You can open any notebook modify parameters and watch behavior change instantly. Learning ML becomes interactive. Not passive. Not abstract. Not confusing. Just… visible. Perfect for: • beginners learning ML • devs moving into AI • interview prep • teaching concepts • understanding backprop • visual learners • building intuition This is the kind of resource that makes neural networks finally “click”. Link: ml-visualized.com/index.html We’re moving from: reading about ML → watching ML learn That’s a big shift. Because once you can see training, you stop memorizing… and start understanding. AI education just got visual.
English
6
101
592
32.9K
Sandeep singh retweetledi
Matt Dancho (Business Science)
Matt Dancho (Business Science)@mdancho84·
These 7 statistical analysis concepts have helped me as an AI Data Scientist. Let's go: 🧵
Matt Dancho (Business Science) tweet media
English
2
83
570
43K
Sandeep singh retweetledi
Muhammad Ayan
Muhammad Ayan@socialwithaayan·
R.I.P. Google Scholar for literature reviews. Perplexity reads 500+ papers in minutes and builds citation maps automatically. Here are 8 prompts for PhD-level systematic reviews that actually work (Save for later):
Muhammad Ayan tweet mediaMuhammad Ayan tweet media
English
21
53
261
23.3K
Sandeep singh retweetledi
Muhammad Muneeb
Muhammad Muneeb@im2muneeb·
How to write an abstract for your paper. You can do it in 5 parts: 1. Background 2. Justification 3. Major Finding 4. Key Results 5. Conclusion The parts may differ for your field. But these are the basics. Apply and adjust. #phd
Muhammad Muneeb tweet media
English
1
51
231
8.7K
Sandeep singh retweetledi
Rony
Rony@Ronycoder·
Claude FULL COURSE 1 HOUR (Build & Automate Anything)
English
21
687
3.8K
324.7K
Sandeep singh retweetledi
Mushtaq Bilal, PhD
Mushtaq Bilal, PhD@MushtaqBilalPhD·
Introduction to systematic reviews and meta-analysis Click the link below to download the PDF for free. Follow Silvi on LinkedIn for free resources on systematic reviews and meta-analysis. linkedin.com/feed/update/ur…
Mushtaq Bilal, PhD tweet media
English
1
22
88
6.1K
Sandeep singh retweetledi
Jeremy Nguyen ✍🏼 🚢
Jeremy Nguyen ✍🏼 🚢@JeremyNguyenPhD·
Are you using "Skills" in Claude Code for your academic research? Alessandro Spina shares a short intro to using "skills". Slides and files in the reply below.
Jeremy Nguyen ✍🏼 🚢 tweet media
English
4
71
384
34.3K
Sandeep singh retweetledi
Scholarship for PhD
Scholarship for PhD@ScholarshipfPhd·
9 Literature Review Quick Questions 1. What has been done? 2. What were the hypotheses? 3. What were the research questions? 4. How was the work done? 5. When was it done? 6. Who did it? 7. What were the main findings? 8. What were the conclusions? 9. What should be done next?
English
4
87
342
18.5K
Sandeep singh retweetledi
Prof Lennart Nacke, PhD
Prof Lennart Nacke, PhD@acagamic·
Most professionals waste 1,000 hours learning a new topic. Steal these 14 prompts and cut it to 100. And professors, stop hoarding PDFs. Convert them into share‑worthy insights with one reframing prompt. Most PhDs can’t explain their field to a freshman. Master these prompts and out‑teach them all.
Prof Lennart Nacke, PhD tweet media
English
2
50
215
18K
Sandeep singh retweetledi
Jaydeep
Jaydeep@_jaydeepkarale·
If you want to get started with Machine Learning in Python this 42 part playlist is a good place which covers • linear regression • gradient descent • logistic regression • decision tree • support vector • K-fold cross-validation • KNN classification • Feature Engineering
Jaydeep tweet media
English
7
36
149
6.6K
Susovon
Susovon@97susovon·
I’m pleased to share our latest publication in the Spanish Journal of Finance and Accounting. “Dynamic Connectedness between Modern Investment Assets and Equity Markets: Portfolio Hedging Strategies” Indexed in Scopus, ABDC (B), WoS DOI: doi.org/10.1080/021024…
Susovon tweet media
English
1
0
1
29
Sandeep singh retweetledi
David Evans
David Evans@DaveEvansPhD·
47 journals with explicit short paper options where economists publish their research An annotated list: bit.ly/36qNVfn [And a thread]
English
9
192
633
0
Sandeep singh retweetledi
Asad Naveed
Asad Naveed@dr_asadnaveed·
Publish your article for FREE! I have compiled a list of 813 PubMed-indexed journals with $0 Article Processing Fee. Includes Q1-Q4 journals in all subject areas! To get the file: 1. Follow me (If not already) 2. Comment: interested 3. Retweet I'll DM you the link.
Asad Naveed tweet media
English
693
537
637
143.7K

Keşfet

@97susovon @elonmusk @BarackObama @taylorswift13 @cristiano @BillGates @NASA @nikifrancismediavine