I think Tron is suitable at this time, TPS>5000 only Solana can do that
EOS have TPS>5000 and simple develop?

Yeah, Solana is good choice, but is it simple for develop?

I think so
I considering Tron or Tomochain, the both have hight TPS speed transactions and simple developent

Thanks, but ethereum have TPS so slowly, not suitable

Token for payment in ecommercer only

What is algorithm for this? can do a bot automation?

Dear All
We want create a token for our community for payment online, the requirement are
1) Fastest, the TPS > 5000
2) Trust Wallet support
3) Simple to develop, our tech team familiar with C# and Window server
I have heard that Binance Chain, Ethereum, EOS, NEO, Algorand .... can do that? But what is the most suitable?
Have any suggestions?

Thanks and regards

Thanks so much for your suggestions

1. To show live chart on the main page though? what live chart do you like? Cause we have many kinds of live chart?

2. Maybe a section separating the biggest predicted gainers and losers, to save readers time--> You mean should have the highest accuracy and lowest accuracy?
3. I will add more features but need time research what trader and holder need most?

My project use for Trading, for long time investment, we do not have Model for prediction price for long period (monthly, yearly)

https://cppts.com/chart/1d/BTCUSDT.html
That link is chart prediction for BTC_USDT in next 24 hours (1 day),
The percentage accuracy is more than 86.61% for this pair, with errors is 17.39% at this moment
https://imgur.com/a/16rYwQq
86% accuracy mean in 100 times predict price, we have 86 times predict price up (or down)
In chart you can move your mouse at the point to see the actual and predict price

Binance have API for data in history monly and daily, we crawl it and build a Model for machine learning learn history data, and use the term “Neural network” to speak about machine learning, you only need to understand that a “neural network” is a kind of a machine learning technique and “Long Short Time Memory(LSTM)” is a type of neural network (cf “LSTM” ).

LSTM
LSTM for “Long Short Time Memory” is a model design that processes past data to give a prediction. It’s a type of neural network.
Let’s illustrate this with an example.
If I tell you “give me the next number after 6”, what can you say ? Naturally you will give “7” because it is the next one, but why not “8” if the series is “N+2” ?
Ok, now I tell you “give the next number after 3, 6,… “ and now you can answer with “9” or “12”, because the link between 3 and 6 can be “N+3” or “N*2”. Then I tell you “give me the next number after 0,3,6” and you see that the answer is “N +3”.
https://miro.medium.com/max/700/1*o-OCmzzqCZvY6GEI4BNDBg@2x.jpeg

Here, you implemented, in your brain, a simple series check. You used the past values to predict the next one. However, you need enough values in the example range to be able to predict the right result, or at least the most probable one.
Your brain is able to make that for a large variety of “data”. For example, when you look at a ball thrown in the air, you can predict where it will fall, because your brain analyses the position at different steps, and can predict the next steps until the final position.
With LSTM, it is a bit more complicated but the basics are the same:
we send a “chronological series” to let the neural network find the next probable value. A huge dataset, build on a long period, is not needed. You need enough data, to split the dataset in small chronological chunks, for the neural network to be able to understand and predict the next value.

For more detail, you can read the full articles at this link: https://medium.com/smileinnovation/how-to-make-profits-in-cryptocurrency-trading-with-machine-learning-edb7ea33cee4

We based on that articles for build own project

Thanks

Yes, we have two accuracy rate, for example with BTC_USDT pair, and prediction in 5 minutes
We have this chart https://cppts.com/chart/5m/BTCUSDT.html
1. Trend error is accuracy rate based on : how many percent we predict BTC price up is right (or down is right)
2.  Relative error is accuracy rate based on: deviation of usd of each prediction (but it still has some error need to fixed)

The bot trade we continue developing using API from Binance

Thanks and best regards

I have apply and fill that form with my project https://cppts.com (AI and Blockchain), you can check and notice me if you have receive

Thanks

We use artificial intelligence:
Machine learning is the idea that there are generic algorithms that can tell you something interesting about a set of data without you having to write any custom code specific to the problem. Instead of writing code, you feed data to the generic algorithm and it builds its own logic based on the data

1. We use Long Short Time Memory(LSTM) in Neural Network, for build model
LSTM for “Long Short Time Memory” is a model design that processes past data to give a prediction. It’s a type of neural network.

2. Data we use for machine learning from Binance and store it for many months, the more data, the more exactly

Yes, prediction alway have accurate rate, some pairs have high accurate rate, some pairs not depend on many reason

We continues update the features of this products
Thanks

Thank you very much for your help, very great ideas

I will improve my project follow your guide, can you pm me your email and if i want ask more i will sent you a email
Best regards

Thank you very much for your good idea, @BrewMaster
I will improve it
Can you give me some advisor for random a number base on random transaction hash? application use for Lottery, user buy lottery app want transparent and want to know how to draw a special number

My project use Machine Learning and Bigdata from Binance for CryptoCurrency Price Prediction Tracker System

Run at: https://cppts.com/

We crawl data realtime every 5 minutes from Binance and give the prediction price with more than 90 pair crypto, we precdict price in 5 minutes, 60 minutes, 12 hours and 24 hours

my email is : huyblockchain@gmail.com

You can give me some advisors for better features

Thanks

My project at https://randomblock.org/ (PC version)
We random a number base on random latest Transaction Hash from Bitcoin, Ethereum, Xrp, Tron, LiteCoin blockchain network

Can you give me some advisor, is it interesting and need more features to improve that?
mail to huyblockchain@gmail.com

Best regard