Can we predict market structure in crypto trading

[Khezo]

You can never predict the market accurately no matter how good you thing you are in trading. Top notch traders still lose to the market so I think it's just good if you understand the basic principles but trying to predict market is gambling

 

[Patrik]

there are usually analyses, but they are only close to the reality or sometimes they are never, if predicting that was a possible thing, everyone could start doing this as a guaranteed profit

 

[Ridorz]

Cryptocorrency is unprofitable because no body can know what is going to happen in future. Crypto currency is raising up and Fall down anytime people are gaining people are loosing. But according to the value of crypto currency now especially Bitcoin, this make people compare it gold and silver trading.

 

[ahmedo24]

Cryptocorrency is unprofitable because no body can know what is going to happen in future. Crypto currency is raising up and Fall down anytime people are gaining people are loosing. But according to the value of crypto currency now especially Bitcoin, this make people compare it gold and silver trading.

If one know the level of Investors into a particular coin or activities surrounding it one can easily predict a rise or fall for instance if flare network eventually give date for snapshot of litecoin balance for spark tokens, one can easily predict rise in litecoin as people will rush to have it in order to benefit from the spark tokens

 

[Chief]

You cannot predict any thing about crypto. It is a very dynamic currency and any thing can happen to it. Recently all coins dropped and a lot of people did panic selling and a lot of money was lost. People need to be patient and smarter with regard to crypto

 

[Ltherman]

I believe what you're referring to must be trade setup that will help you trade cryptocurrency well. Price action which is the market situation or fluctuation in real time. Volume in the market at that particular point is a very good indicator

 

[btaliat]

Crypto currency market is unpredictable. I could remember sometimes ago when crypto analysts predicted fall of bitcoin but it surprised them. The market is structured in a way that you just need to be prepared for anything that happens in the market.

 

[GIFTMICHAEL]

It will be very hard to predict perfectly the future as it concerns the market structure of cryptocurrency and it's future reality.
The truth is that the coins will continue to rise.

Cryptocurrency can never be predicted perfectly.

 

[Rimsha kanwal]

We can only give our prediction base on what we think , which may or may not come to pass . There is no tool for predicting correctly the price of a coin , if there was , many will be millionaires now

I study the dependency and causality structure of the cryptocurrency market investigating collective movements of both prices and social sentiment related to almost two thousand cryptocurrencies traded during the first six months of 2018. This is the first study of the whole cryptocurrency market structure. It introduces several rigorous innovative methodologies applicable to this and to several other complex systems where a large number of variables interact in a non-linear way, which is a distinctive feature of the digital economy. The analysis of the dependency structure reveals that prices are significantly correlated with sentiment. The major, most capitalised cryptocurrencies, such as bitcoin, have a central role in the price correlation network but only a marginal role in the sentiment network and in the network describing the interactions between the two. The study of the causality structure reveals a causality network that is consistently related with the correlation structures and shows that both prices cause sentiment and sentiment cause prices across currencies with the latter being stronger in size but smaller in number of significative interactions. Overall this study uncovers a complex and rich structure of interrelations where prices and sentiment influence each other both instantaneously and with lead–lag causal relations. A major finding is that minor currencies, with small capitalisation, play a crucial role in shaping the overall dependency and causality structure. Despite the high level of noise and the short time-series I verified that these networks are significant with all links statistically validated and with a structural organisation consistently reproduced across all networks.

Post automatically merged: Jan 17, 2021

We can only give our prediction base on what we think , which may or may not come to pass . There is no tool for predicting correctly the price of a coin , if there was , many will be millionaires now

I study the dependency and causality structure of the cryptocurrency market investigating collective movements of both prices and social sentiment related to almost two thousand cryptocurrencies traded during the first six months of 2018. This is the first study of the whole cryptocurrency market structure. It introduces several rigorous innovative methodologies applicable to this and to several other complex systems where a large number of variables interact in a non-linear way, which is a distinctive feature of the digital economy. The analysis of the dependency structure reveals that prices are significantly correlated with sentiment. The major, most capitalised cryptocurrencies, such as bitcoin, have a central role in the price correlation network but only a marginal role in the sentiment network and in the network describing the interactions between the two. The study of the causality structure reveals a causality network that is consistently related with the correlation structures and shows that both prices cause sentiment and sentiment cause prices across currencies with the latter being stronger in size but smaller in number of significative interactions. Overall this study uncovers a complex and rich structure of interrelations where prices and sentiment influence each other both instantaneously and with lead–lag causal relations. A major finding is that minor currencies, with small capitalisation, play a crucial role in shaping the overall dependency and causality structure. Despite the high level of noise and the short time-series I verified that these networks are significant with all links statistically validated and with a structural organisation consistently reproduced across all networks.

 

[Ltherman]

I study the dependency and causality structure of the cryptocurrency market investigating collective movements of both prices and social sentiment related to almost two thousand cryptocurrencies traded during the first six months of 2018. This is the first study of the whole cryptocurrency market structure. It introduces several rigorous innovative methodologies applicable to this and to several other complex systems where a large number of variables interact in a non-linear way, which is a distinctive feature of the digital economy. The analysis of the dependency structure reveals that prices are significantly correlated with sentiment. The major, most capitalised cryptocurrencies, such as bitcoin, have a central role in the price correlation network but only a marginal role in the sentiment network and in the network describing the interactions between the two. The study of the causality structure reveals a causality network that is consistently related with the correlation structures and shows that both prices cause sentiment and sentiment cause prices across currencies with the latter being stronger in size but smaller in number of significative interactions. Overall this study uncovers a complex and rich structure of interrelations where prices and sentiment influence each other both instantaneously and with lead–lag causal relations. A major finding is that minor currencies, with small capitalisation, play a crucial role in shaping the overall dependency and causality structure. Despite the high level of noise and the short time-series I verified that these networks are significant with all links statistically validated and with a structural organisation consistently reproduced across all networks.

Post automatically merged: Jan 17, 2021

I study the dependency and causality structure of the cryptocurrency market investigating collective movements of both prices and social sentiment related to almost two thousand cryptocurrencies traded during the first six months of 2018. This is the first study of the whole cryptocurrency market structure. It introduces several rigorous innovative methodologies applicable to this and to several other complex systems where a large number of variables interact in a non-linear way, which is a distinctive feature of the digital economy. The analysis of the dependency structure reveals that prices are significantly correlated with sentiment. The major, most capitalised cryptocurrencies, such as bitcoin, have a central role in the price correlation network but only a marginal role in the sentiment network and in the network describing the interactions between the two. The study of the causality structure reveals a causality network that is consistently related with the correlation structures and shows that both prices cause sentiment and sentiment cause prices across currencies with the latter being stronger in size but smaller in number of significative interactions. Overall this study uncovers a complex and rich structure of interrelations where prices and sentiment influence each other both instantaneously and with lead–lag causal relations. A major finding is that minor currencies, with small capitalisation, play a crucial role in shaping the overall dependency and causality structure. Despite the high level of noise and the short time-series I verified that these networks are significant with all links statistically validated and with a structural organisation consistently reproduced across all networks.

This is so so deep. This is depth in analysis. I wish i could have an offline conversation about this. I will love to learn more about this and it translates or work in trading.

 

[Peppul]

When it comes down to cryto currencies investment the risk to loose is very him, yes we can predict because that's the only thing we can do since we not the ones controlling the market structure but put it at the back of your mind that not every prediction is always right, many times you might invite losses while predicting and also gain. So it's normal to predict and still get your prediction right

 

[Mrallison]

I don't think it is possible to predict crypto currency rise and fall but for sure when there's massive investment there's sure to be an increase in value but i have no idea about trading

 

[Debola]

The demand of Bitcoin by the masses this days are huge. But the price action is not determined by the demand of the people.

How can we determine the market structure in crypto trading and how can the market structure determine or affect trading.

In the case of crypto-assets, it is definitely possible to predict price movements in cryptocurrencies but no single model is going to be effective across all market conditions. Always assume that, eventually, your models are going to fail and look for alternative.

 

[Setho]

May be you should try following the news on many crypto platforms about the structure of bitcoin. Though its primarily determined by factors of demand and supply, many world and local happenings affect the price of the bitcoin. There you would see some experts and specialist discuss everything.

 

[Muhammadawais]

In the case of crypto assets, it is certainly possible to predict price movements in cryptocurrencies, but no market model will be effective in all situations. Always assume that, eventually, your models will fail and find alternatives.

 

[Kingsley]

It will be difficult to predict the Market behaviour because this things are been controlled by the forces of demand and supply and as we all know human behaviour is highly unpredictable. Thus, making it almost impossibleto predicts

 

[Chibson]

Cryptocurrencies especially Bitcoin will continue to rise. When you created this post, Bitcoin was like about $15k-$20k but today it's over $55k. This shows that it can only continue to arise as the day goes by.
Technical analysis and fundamental analysis can also help you determine the price of Bitcoin.

 

[QalabDogar1906]

The demand of Bitcoin by the masses this days are huge. But the price action is not determined by the demand of the people.

How can we determine the market structure in crypto trading and how can the market structure determine or affect trading.

I think working on cryptocurrency is very profitable nowadays many people work on different exchange forex trading out of Access for earning and earn money large amount of working hard I also suggest you to do work hard to earn money in your life family

 

[Kinglegend01]

I think it should be possible to predict the trend(rise or fall of a particular cryptocurrency coin) if you are a constant visitor to coinmarketcap and you check the coin in question trend and read the opinion of other experts.

 

[BrolySSJ]

The demand of Bitcoin by the masses this days are huge. But the price action is not determined by the demand of the people.

How can we determine the market structure in crypto trading and how can the market structure determine or affect trading.

There's no way that you can accurately predict how the market is likely to behave when it comes to cryptocurrency because it is a decentralized network and therefore in order to predict how the market will proceed you have to know how people are likely to respond to the market.