Markets are built for machines.
Most traders don’t have one.
Meet 1DES — an event-driven, non-custodial AI trading engine built as a system, not a shortcut.
From data → signals → live execution.
Only what works survives.
🎥 https://t.co/IgzI4A1pp5
#AITrading#Quant
📈 From LSTM to PatchTST: the next step in crypto time-series forecasting.
🔍 Transformers & self-attention
⚙️ Key variants (Vanilla, Informer, Autoformer, PatchTST)
🚀 Why PatchTST could outperform LSTM in BTCUSDT
Read more 👉 https://t.co/owdhxLxfAN
#PatchTST#TimeSeries
🚀 What is Bucketizing in Machine Learning?
Learn how this technique simplifies data analysis and enhances ML models.
🔗 https://t.co/x5zemy6YO0
#MachineLearning#AI#ML#DataAnalysis#1DES
Visualize. Compare. Optimize.
At 1DES, we use Comet to track experiments, debug models, and gain real insights using confusion matrices, t-SNE, UMAP, and more.
See how we do it 👉
🔗 https://t.co/besz3NOxr3
#MachineLearning#MLOps#DataScience#CometML#MLVisualization
How we use AG2 (AutoGen) to build multi-agent AI systems for smart automation — reports, charts, even tweets.
Read the guide 👉 https://t.co/C4v2qieFEX
#AI#AutoGen#AG2#Automation#LLMs#Python
🚀 From Blocks to Bots: A real-world journey through #Blockchain, #DeFi, and #AI trading.
No banks. No middlemen. Just code, wallets, and bots.
Earn, trade, stake & vote — all on-chain.
🧠 Read the full guide:
https://t.co/3oapLz5gRx
#Web3#Crypto#TradingBots
📈 Can ML really boost your algo trading win rate?
In Part 4 & 5 of our series, we move from prediction to backtesting—comparing ML-driven trades vs classic SMA crossovers.
Spoiler: ML wins.
🔗 https://t.co/jVCGe0EUZT
#AlgoTrading#MachineLearning#Backtesting#MLOps
🚀 How we use a Feature Store to power real-time ML trading bots at 1DES — with Faust, Pandas TA & PostgreSQL.
👉 https://t.co/xaxbHmIyvj
#MLOps#FeatureStore#TradingBots
Calling all #MachineLearning enthusiasts! 🤖📚 Check out our latest article on the importance of labels and features in #ML. Discover how they drive accurate model training and unleash the power of #AI. Don't miss out! #DataScience#AIEducation
https://t.co/n3Cc3fByja
📢 Level up your algorithmic trading skills with the power of machine learning! 🚀📈 Check out this insightful article on improving your win rate in algorithmic trading. 🤖💡
🔗 Read here: https://t.co/SZGOhuXv0J
Level up your trading strategies with stream processing in MLOps for ML-based bots. Don't miss this valuable resource from 1des! #MLOps#TradingBots#StreamProcessing
https://t.co/8nhLyKRSJo
#MachineLearning is a form of #AI that enables computers to learn from data, without being explicitly programmed, allowing them to make decisions & solve problems. It is changing the world, making our lives easier in many ways. #Tech#Retirees
https://t.co/SRxndsLW31
Pattern Recognition is a powerful tool that can help identify patterns in large datasets related to renewable energy, making it easier to predict how renewable energy will shape the job market in the future. #RenewableEnergy#PatternRecognition#JobMarket
https://t.co/mJuHBGjk9n
Data normalization is a way of organizing and standardizing data so that it’s easier to analyze and compare, which helps to identify trends in renewable energy and predict the job market of the future.
#DataNormalization#RenewableEnergy#JobMarket
https://t.co/AVBpV2J3Pk
#DataAnalysis is the process of collecting, exploring, and understanding data to draw conclusions & insights. It's essential to #Cryptocurrency & #MachineLearning, and helps us better understand the world we live in! #DataScience#BigData
https://t.co/VgcycK5fJ8
Pattern recognition is a way of recognizing patterns in cryptocurrency trading data over time to guide decision-making.
#CryptoTrading#Cryptocurrency#PatternRecognition
https://t.co/4wto6xAYST
Bollinger Bands are a technical indicator used by #Cryptocurrency traders to identify price trends and volatility. They help traders make better-informed decisions when trading #crypto. #TradingTools#CryptoNews#CryptoTrading
https://t.co/6FOcCQ36Tz