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Author Topic: Neural Network bot/signals  (Read 358 times)
stempelo (OP)
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December 31, 2019, 07:37:28 AM
 #1

Hi, I'm working on a bot to trade using neural networks. It is currently in development. If you want you can see the generated signals of laterization, long or short.

It is based on train images generated every minute by looking at the BTC / USD quote. The train is run weekly. Currently the train is over 40,000 images.

It is still in full development, if you are interested in taking a look at the signals this is the link:https://vafed.it/signals.php.
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December 31, 2019, 03:06:41 PM
 #2

Can you tell us more details, how successful are neural networks used to predict prices? I do not remember that I encountered many bots working on these methods.
What are the learning methods used? Size, time, price, or you add more.
Can you include some diagrams/ charts?
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December 31, 2019, 03:17:45 PM
 #3

First time that I've heard a bot Neural signals.

So I'm also interested as to what it can bring 'new' to crypto trading. So I would also ask the OP to provide more details, although it is still in development phase, perhaps some initial background of the project itself.

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December 31, 2019, 04:29:40 PM
 #4

I do not really understand if there are no graphics and I only see the list, then how to analyze it?
I hope you quickly develop this bot signal quickly. I want to know the results if it is perfect.

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rijaljun
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December 31, 2019, 04:43:53 PM
 #5

Hi, I'm working on a bot to trade using neural networks. It is currently in development. If you want you can see the generated signals of laterization, long or short.

It is based on train images generated every minute by looking at the BTC / USD quote. The train is run weekly. Currently the train is over 40,000 images.

It is still in full development, if you are interested in taking a look at the signals this is the link:https://vafed.it/signals.php.

Any details how to read those signals? Also based on the timestamp, it is not generated every minutes. It is every minutes for some signals and then gets long space before the next signal.

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tungaqhd
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January 01, 2020, 04:18:50 PM
 #6

Hi, I'm working on a bot to trade using neural networks. It is currently in development. If you want you can see the generated signals of laterization, long or short.

It is based on train images generated every minute by looking at the BTC / USD quote. The train is run weekly. Currently the train is over 40,000 images.

It is still in full development, if you are interested in taking a look at the signals this is the link:https://vafed.it/signals.php.
I have seen many bots with DL that can predict the market signals but the accuracy is still very low. But why you use images instead of raw/json data?
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January 01, 2020, 05:02:30 PM
 #7

I honestly don't understand the signal from the link above.

What exactly do you mean by "Lateralization" do you mean this is the amount of your BTC?
And the records from your signals are the price movement of BTC where you lose and gains as up and low?

Solving blocks can't be solved without my rigs.
supermario122
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January 02, 2020, 01:40:24 AM
 #8

I honestly don't understand the signal from the link above.

What exactly do you mean by "Lateralization" do you mean this is the amount of your BTC?
And the records from your signals are the price movement of BTC where you lose and gains as up and low?

No one understands. And he doesn't understand that he posted something people won't understand.
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January 02, 2020, 03:27:22 AM
 #9

Btw, I'm still confused about how to read the bot / signal that you gave. How does it work and how do you read it? at least you provide a more detailed picture of the trade you make with your bot / signal so we understand more deeply.
stempelo (OP)
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January 02, 2020, 07:36:49 AM
 #10

You're absolutely right, nothing is explained practically on the site, I'm working on it in my spare time. Next changes to the site is to try to make people understand what's behind. You are absolutely right. As soon as I have completed further steps, I will update you so you can take a look. Give me some time.
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January 02, 2020, 07:49:43 AM
 #11

You're absolutely right, nothing is explained practically on the site, I'm working on it in my spare time. Next changes to the site is to try to make people understand what's behind. You are absolutely right. As soon as I have completed further steps, I will update you so you can take a look. Give me some time.

Making a single page for the user's manual would be great because not every cryptocurrency users are familiar with the bots which is just familiar with the one who already used it before. More over for new people in cryptocurrency which just know about cryptocurrency less than one year.
watergold
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January 02, 2020, 10:31:07 AM
 #12

Btw, I'm still confused about how to read the bot / signal that you gave. How does it work and how do you read it? at least you provide a more detailed picture of the trade you make with your bot / signal so we understand more deeply.

I also do not understand what is on the website, maybe the OP is sharing the website so that the visiters are intriguing for us?

You're absolutely right, nothing is explained practically on the site, I'm working on it in my spare time. Next changes to the site is to try to make people understand what's behind. You are absolutely right. As soon as I have completed further steps, I will update you so you can take a look. Give me some time.

If this has not been completed why do you make a thread like this and this makes many people curious, including me.

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January 02, 2020, 07:32:21 PM
 #13

Only participated in one such project based on blockchain, can't recall the name and can't even really dig it up in my history, but they found moderate success with similar others -- this was all before 2018 and 2019 though. After that, all these projects seemed to dry up on luck, and much like their blockchain fund counterparts, all ended up posting consistent losses.

It's almost as if they get worse with time, instead of better. I personally think it's always because the "market" is still too young and still unable to differentiate from genuine and authentic data. Some of these projects, at least, the one I worked with, had very capable academics behind them, willing to go quite deep into explaining how it worked.

They still, eventually, failed to produce consistently good results. How do you do different? Purely based on visuals? Charts do present differently visually, and those visuals miss a lot of white noise in between (temporary spikes for example).

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MURONDI
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January 03, 2020, 03:31:51 AM
 #14

Hi, I'm working on a bot to trade using neural networks. It is currently in development. If you want you can see the generated signals of laterization, long or short.

It is based on train images generated every minute by looking at the BTC / USD quote. The train is run weekly. Currently the train is over 40,000 images.

It is still in full development, if you are interested in taking a look at the signals this is the link:https://vafed.it/signals.php.
is that a trade signal, how long have you been using bots and how are the results, can it produce consistent profits, You must test it first for at least 3 months, if the results are maximum you can share the bot here.
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January 03, 2020, 12:08:38 PM
 #15

Can you elaborate what is your background? This topic is very interesting to me and I'm curious what are requirements one has to meet to be able to start working with this type o coding. Do you have a lot of experience with programming and what architectures if so?
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January 03, 2020, 12:25:47 PM
 #16

Can you provide more details regarding to your bot/signals service how can it work?
Do you have a proof of successful people that availing your services? Bevause I'm not a fan of any signal/bot.

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January 03, 2020, 01:03:27 PM
 #17

It seems like the first time I've ever heard of the neural network bot's name for trading in crypto. How this site actually gives you all the information you need to know how successful we can be if we work here If it is good and develops quickly then hopefully many will use it. We'll show you how to trade through this bot.
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January 03, 2020, 10:55:20 PM
 #18

That's very interesting, I'm also playing with Neural Networks to predict price +/-. 
What kind of training sets you are using for your Neural Network, (Close Price, High Price, Low Price, Open Price, Volume)?
stempelo (OP)
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January 04, 2020, 07:33:17 AM
 #19

I try to answer the questions I have been asked.
I have been following the world of cryptocurrencies for about 3 years while trading for about 10 years. I have always been fascinated by bots to trade and in the past I have built several in the forex world.

As for cryptocurrencies, I developed a bot for about 3 months to arbitrage between 3 different exchanges for the XMR / USD pair (I mined Monero, when it was worth 10 USD).

I stopped developing the bot by arbitrage to focus on one for trading. I developed several, all of which were based on technical indicators. I didn't like them.

So I started studying neural networks with the Tensorflow framework.

They are currently in full development, it takes time and $$ money to develop.

The infrastructure you can see on the site is more complex than it appears.

These are the main details on which it is based:

Database: Mysql with a simple db

Frontend site: PHP

Backend: Python with Tensorflow, numpy, mathplotlib etc.

Exchange for my personal bot: Kraken with python API


Now the next step is to simulate the various models with the signals issued and to benchmark performance by including the fees of an exchange, as truthful as possible.

Next step will be to implement a Telegram bot and email notification of the signals.
stempelo (OP)
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January 17, 2020, 02:22:59 PM
 #20

News: added a page https://vafed.it/benchmark.php

This page benchmarks the various models (for now only model 4) by ordering the results by net percentage. Fees are taken into account (0.26% ex: Kraken).
Upcoming updates:
- add explanations of the various simulation parameters;
- schedule the benchmark update every 12 hours to allow a bot to choose the best strategy.

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