@its_suuuno68: 体育祭とか大会の前日は勝ちたいからカツカレー食べる!🤤みんなは勝負前にすることある? #制服 #夏服 #体育祭 #08 #jk

すーの
すーの
Open In TikTok:
Region: JP
Friday 04 September 2026 10:22:27 GMT
28759
3123
275
74

Music

Download

Comments

user4654936391290
波波の不妙冒险 :
最近用中国的bgm比较多😳
2026-09-04 16:46:23
3
its_suuuno68
すーの :
明日体育祭🔥❤️‍🔥
2026-09-04 12:30:44
20
ryocheru_0083
りょうちぇる :
すーの猫が現れたっ!可愛いから撫でたい!
2026-09-04 11:20:50
2
gi35674
IKD GIN. :
昼から充電6%だったけどすーのちゃんの投稿見るためにとっておいた。カツカレー食べたら勝てそうだよね~🌱
2026-09-04 11:14:57
6
harurun_abroad
はるさん :
天気大丈夫だった?
2026-09-06 15:28:12
1
nguoidungquadeptrai08
1207 :
bây giờ chỗ tôi 12 giờ 46p chỗ bạn mấy giờ
2026-09-04 17:46:26
2
user61830805011665
ピエロ 航 🍓🍡 :
ぐっ、すーのちゃん可愛い 勝負前はアールワン飲む
2026-09-04 12:38:32
1
dora65527
dora :
げんかつぎ同じくカツカレー食べました♪ココイチだけど💦
2026-09-04 10:30:16
1
emozi1127
なつみかん🏹💤/🍊🎧 :
とりあえず風邪ひかないように早寝!
2026-09-04 11:26:00
1
pom0515
みず🍓🍡 :
エフェクトかわいい💕🥰
2026-09-04 10:23:58
2
mld264
人形 :
キットカット食べてる!きっと勝つで笑 今日もかわいい!
2026-09-04 10:23:57
1
jadanapjvgu
おりょんりょん🦔 :
ヒレ(綺麗)カツ(勝利)を祈ってるよ!!競技も応援ダンスもみんなを魅了してね😚🤲✨️🥩🔥
2026-09-04 18:44:55
1
ay.te7
🍏AYATO🍓🍡 :
エフェクト可愛すぎ‼️
2026-09-04 10:27:30
1
ki_no.ko
き.の.こ. :
ゲン担ぎだ!かわいい~
2026-09-04 11:22:42
1
pom0515
みず🍓🍡 :
体育祭勝ちたいよね💕✨
2026-09-04 10:25:21
2
pom0515
みず🍓🍡 :
ご飯食べるかな!✨
2026-09-04 10:26:28
2
pom0515
みず🍓🍡 :
今日もいちばんかわいい💓
2026-09-04 10:25:54
2
pom0515
みず🍓🍡 :
最近つけてる髪飾りかわいすぎ💕🥰
2026-09-04 10:25:42
2
ay.te7
🍏AYATO🍓🍡 :
勝負前にすることは前日に音楽を聴く‼️当日は勝つ気持ちで学校へ行く!
2026-09-04 10:27:08
1
nikamaru48
にかまる :
体育祭がんばれー😍体操服姿見てみたい😍🥰✨
2026-09-04 22:06:23
1
user2842281429435
なっちゃん :
気持ちから大事だよね!
2026-09-04 10:54:02
1
userirxj19xzd0
にこらす :
まだ暑いのにもう体育祭かー。無理しないでね😅応援団とか似合いそう❣️みんな頑張りそう
2026-09-05 04:03:30
1
dangphongcf
Đặng Phong :
yaho
2026-09-04 10:32:30
1
yamamaru55
氷結 :
今日もスゴくかわいいよ😊💕
2026-09-04 10:27:55
1
wowwowyeah
wow wow yeah!!!☃️ :
ʢ•·̫•ʡو ̑̑✧ファイティン!!
2026-09-04 16:28:05
1
To see more videos from user @its_suuuno68, please go to the Tikwm homepage.

Other Videos

💻📈 6 GITHUB REPOS THAT LET YOU RUN A HEDGE FUND FROM YOUR LAPTOP You don’t need a Wall Street office to start learning quantitative trading. Your laptop can become a small research lab for: 📊 Market data 🤖 ML strategies 📈 Backtesting 🧠 AI agents 🛡️ Risk management 💰 Portfolio management Here are 6 GitHub repos worth exploring: 1️⃣ AI HEDGE FUND 🤖 A multi-agent AI hedge fund where different agents handle areas such as fundamentals, technicals, sentiment, valuation, risk, and portfolio management. ⭐ 59K+ stars 💻 Can run locally with Python and can use Ollama for local LLMs. GitHub: virattt/ai-hedge-fund ⸻ 2️⃣ NAUTILUS TRADER ⚡ A serious algorithmic trading platform built for: → Research → Backtesting → Portfolio strategies → Live trading → Multiple asset classes Its architecture is designed to keep research/backtesting and live strategy implementations closely aligned. GitHub: NautilusTrader ⸻ 3️⃣ LIUALGOTRADER 🧮 A Python-based algorithmic trading framework with: → Backtesting → ML support → Strategy optimization → Market data → Automated trading The project explicitly describes running from a laptop as well as scaling to hosted Linux infrastructure. GitHub: LiuAlgoTrader ⸻ 4️⃣ QUANT HEDGE FUND SYSTEM 📊 An end-to-end Python project covering: → Market data collection → 25+ years of data → Backtesting → MLflow experiment tracking → Automated execution → Interactive Brokers integration Great repository to study if you’re interested in quant + MLOps + trading systems. GitHub: QuantHedgeFund ⸻ 5️⃣ AI-NATIVE HEDGE FUND 🧠 A local AI-native trading prototype combining: → Multiple agents → Strategy ensembles → Risk management → Backtesting → Local LLMs → Paper trading → Audit logs It uses Ollama + market data tools + paper trading, making it interesting for people experimenting on their own machine. GitHub: ai-native-hedge-fund ⸻ 6️⃣ AUTONOMOUS TRADING SYSTEM 🚀 A multi-strategy algorithmic trading system featuring: → 6 quantitative strategies → Backtesting → Real-time dashboard → Portfolio management → Risk controls → Paper trading The repository provides a local setup using Python and Node.js. GitHub: autonomous-trading-system ⸻ 🔥 WHAT YOU CAN LEARN FROM THESE REPOS Don’t just clone and run them. Study the architecture: Market Data ↓ Feature Engineering ↓ Strategy / ML Model ↓ Signal Generation ↓ Portfolio Construction ↓ Risk Management ↓ Backtesting ↓ Paper Trading ↓ Monitoring That’s where the real learning happens. 🎯 IF YOU’RE A DATA SCIENCE / AI STUDENT Start with: 🥇 AI Hedge Fund 🥈 AI-Native Hedge Fund 🥉 Quant Hedge Fund System Then build your own simplified version. Laptop → Data → ML → Backtest → Risk → Dashboard ⚠️ These repositories are for learning/research and paper trading. Backtested performance is not a guarantee of future returns, and don’t connect a strategy to real money until you understand the risks. #GitHub #HedgeFund #QuantFinance #AlgorithmicTrading                #creatorsearchinsights
💻📈 6 GITHUB REPOS THAT LET YOU RUN A HEDGE FUND FROM YOUR LAPTOP You don’t need a Wall Street office to start learning quantitative trading. Your laptop can become a small research lab for: 📊 Market data 🤖 ML strategies 📈 Backtesting 🧠 AI agents 🛡️ Risk management 💰 Portfolio management Here are 6 GitHub repos worth exploring: 1️⃣ AI HEDGE FUND 🤖 A multi-agent AI hedge fund where different agents handle areas such as fundamentals, technicals, sentiment, valuation, risk, and portfolio management. ⭐ 59K+ stars 💻 Can run locally with Python and can use Ollama for local LLMs. GitHub: virattt/ai-hedge-fund ⸻ 2️⃣ NAUTILUS TRADER ⚡ A serious algorithmic trading platform built for: → Research → Backtesting → Portfolio strategies → Live trading → Multiple asset classes Its architecture is designed to keep research/backtesting and live strategy implementations closely aligned. GitHub: NautilusTrader ⸻ 3️⃣ LIUALGOTRADER 🧮 A Python-based algorithmic trading framework with: → Backtesting → ML support → Strategy optimization → Market data → Automated trading The project explicitly describes running from a laptop as well as scaling to hosted Linux infrastructure. GitHub: LiuAlgoTrader ⸻ 4️⃣ QUANT HEDGE FUND SYSTEM 📊 An end-to-end Python project covering: → Market data collection → 25+ years of data → Backtesting → MLflow experiment tracking → Automated execution → Interactive Brokers integration Great repository to study if you’re interested in quant + MLOps + trading systems. GitHub: QuantHedgeFund ⸻ 5️⃣ AI-NATIVE HEDGE FUND 🧠 A local AI-native trading prototype combining: → Multiple agents → Strategy ensembles → Risk management → Backtesting → Local LLMs → Paper trading → Audit logs It uses Ollama + market data tools + paper trading, making it interesting for people experimenting on their own machine. GitHub: ai-native-hedge-fund ⸻ 6️⃣ AUTONOMOUS TRADING SYSTEM 🚀 A multi-strategy algorithmic trading system featuring: → 6 quantitative strategies → Backtesting → Real-time dashboard → Portfolio management → Risk controls → Paper trading The repository provides a local setup using Python and Node.js. GitHub: autonomous-trading-system ⸻ 🔥 WHAT YOU CAN LEARN FROM THESE REPOS Don’t just clone and run them. Study the architecture: Market Data ↓ Feature Engineering ↓ Strategy / ML Model ↓ Signal Generation ↓ Portfolio Construction ↓ Risk Management ↓ Backtesting ↓ Paper Trading ↓ Monitoring That’s where the real learning happens. 🎯 IF YOU’RE A DATA SCIENCE / AI STUDENT Start with: 🥇 AI Hedge Fund 🥈 AI-Native Hedge Fund 🥉 Quant Hedge Fund System Then build your own simplified version. Laptop → Data → ML → Backtest → Risk → Dashboard ⚠️ These repositories are for learning/research and paper trading. Backtested performance is not a guarantee of future returns, and don’t connect a strategy to real money until you understand the risks. #GitHub #HedgeFund #QuantFinance #AlgorithmicTrading #creatorsearchinsights

About