WatchlistCoins

We forecast the volatility of 12 top #Crypto tokens from Aug 28 to Sept 3 using Fabian, our #MachineLearning engine.

Link Machine Learning
Link Machine Learning
Twitter
04 Sep 2023, 12:53
We forecast the volatility of 12 top #Crypto tokens from Aug 28 to Sept 3 using Fabian, our #MachineLearning engine. Check out the accuracy that can add to your trading moves... 🎯 95.11% accuracy when forecasting #BTC volatility $ETH: 97.66% $XRP: 76.25% $BNB : 97.97% $ADA: 96.65% $MATIC: 73.06% $DOGE: 98.44% $SOL: 97.13% $DOT: 98.07% $LTC: 95.38% $AVAX : 95.84% $LINK: 98.08% ----------- provides AI-driven forecasts, #CryptoAnalytics, & market insights for #Bitcoin #ETH #BNB #MATIC #DOGE #SOL #DOT #LTC #AVAX & #Chainlink

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Dynex
DynexDNX #1562
Telegram
04 Sep 2023, 13:08
Well, hello there! pip install dynex Throughout the last weeks, our Dynex SDK (beta) testers have been busy and used it for recommender systems, image classification (@hanpaopao99), reinforcement learning, HIV folding, Covid prediction (@y3tiCrypto), Wifi hot-spot positioning and enzyme target prediction (@SamGR55) and more using our cloud based Dynex SDK (@ProjectJupyter). Today we have started the rollout of the packaged version of our Dynex SDK which can be installed locally by simply using the command "pip install dynex". To get started, check out our Wiki: If you are interested in joining our Dynex SDK beta test group, send us an email with "subscribe" to ai@dynexcoin.org or join our professional Slack Workspace:
Well, hello there. pip install dynex.
Well, hello there! pip install dynex Throughout the last weeks, our Dynex SDK (beta) testers have been busy and used it for recommender systems, image classification (@hanpaopao99), reinforcement learning, HIV folding, Covid prediction (@y3tiCrypto), Wifi hot-spot positioning and enzyme target prediction (@SamGR55) and more using our cloud based Dynex SDK (@ProjectJupyter). Today we have started the rollout of the packaged version of our Dynex SDK which can be installed locally by simply using the command "pip install dynex". To get started, check out our Wiki: https://github.com/dynexcoin/DynexSDK/wiki If you are interested in joining our Dynex SDK beta test group, send us an email with "subscribe" to ai@dynexcoin.org or join our professional Slack Workspace: https://join.slack.com/t/dynex-workspace/shared_invite/zt-22eb1n4mo-aXS5zsUBoPs613Dofi8Q4A