Tuesday, December 15, 2020

Neural Network Industries, a primer for neural network trading strategies and Partner of $GORN Social Money


 

Artificial Intelligence (AI) will bring a strong challenge to organization’s management systems as it could be considered as a 4th industrial revolution accelerator. That is why Gorn Hegemony Guild & Community partnered with Neural Network Industries, in order to explore and encompass new possibilities of how to empower, advance and ignite the entrepreneurship of our communities, partners, clients and members using AI technology and knowledge. 

Neural Network Industries, an AI trading start-up from Singapore


 

 

2021 will be a huge year for $GORN and we are working shoulder to shoulder with Neural Network Industries to bring $GORN rewards to the next level by delivering AI applications and AI knowledge tailored for everybody. Our first introductory AI knowledge service is just a mere beginning of our collaboration with this AI-start up from Singapore, that is pioneering algorithmic trading with a focus on sophisticated machine learning algorithms coupled with defensive risk management.

 

Personal Introduction to Algorithmic Trading, a reward redeemable for $GORN

 

Neural Network Industries constructed its algorithm trading system, known as “BOTFOLIO”, a pareto optimized portfolio consisting of artificial neural network algorithms in different assets in FY2019 and achieved 41.26% return in 17 Trades with a 94.12% winning ratio. All trades are verified on Stocktwits.

Neural Network Industries is also delighted to announce the successful implementation of the USDT/PAXG trading pair in our algorithmic trading system. USDT is a stablecoin pegged to the US Dollar currency. PAX Gold is physical Gold on the blockchain, issued by Paxos Global.

In 2020 Neural Network Industries launched their first gold commodity trading algorithm with 92.1% winning ratio and 38.54% return since its inception. The Neuralnet 3 (NNv3) algorithm is using the “ADADELTA” algorithm, a per-dimension learning rate method for gradient descent.

 

2020 Track Record of USD/PAXG of the Neuralnet 3 algorithm by NN

Adadelta is an extension of Adagrad that seeks to reduce its aggressive, monotonically decreasing learning rate. Instead of accumulating all past squared gradients, Adadelta restricts the window of accumulated past gradients to some fixed size w. (Ruder.io , 2019)

In 2020 Neural Network Industries also partnered with Gorn Hegemony Guild & Community. Gorn, or $GORN, which is a social monetary unit used for transactions within the Gorn Hegemony, its network of partners and its community. The Gorn Hegemony Guild focuses currently on building a community about decentralized apps and blockchain gaming. Gorn Social Money was issued by tryroll.com from New York, US on the 05/10/2020 for the Gorn Hegemony Guild & Community. $GORN is a social proof-of-work Social Money and grants specific privileges and rights to holders. $GORN rewards can be seen here. $GORN can be earned in various ways and its usecases are steadily being developed.

The mission behind Gorn is to advance and empower our community and network of partners by using $GORN as a social remuneration system. Neural Network Industries will develop and advance rewards redeemable for $GORN and empower its partners, clients and followers with the capabilities of AI and blockchain technology. Neural Network Industries followers can earn $GORN by supporting the social media of NN, for example by liking and retweeting posts and then sending a DM to the Neural Network Industries Twitter account. Read more about $GORN Social Money and check out Neural Network Industries.

 

📈 Visit our Website — https://neuralnetworkindustries.myportfolio.com/

📈 Visit our Blog — https://neuralnetworkindustries.blogspot.com/

📈Follow us on Twitter — https://twitter.com/neuralnetworkin

📈Follow us on Stocktwits— https://stocktwits.com/NeuralNetworkIndustries

📈 Follow us on Facebook — https://www.facebook.com/neuralnetworkin

📈 Follow us on Instagram — https://www.instagram.com/neuralnetworkin/

 

 

Reference: https://ruder.io/optimizing-gradient-descent/