Hello everyone this is Zeeshan Manzoor with another post.I will try my best to explain everything with concepts.

Simple, human understanding of on-chain data metrics
When we think about cryptocurrency it is important to know what is happening in the market.On-chain data metrics help us understand what people are doing on the blockchain, how they transact with tokens, and who is buying or selling them. Especially during boom times, this metric becomes extremely important.

Cryptocurrency is quiet at times, but the most important brand is in a bad mood. Karna Asana is the solution. As far as I know how to do it, the phone has a tool to call the building you want to build, so there's no indication what it's used for. Your card is the same. This is the purpose of our journey, it is dangerous, it is dangerous, it is too late for us.
The most important elements:

1. Chain
   What is the secret?In/out-of-the-box swaps: What does it mean if you want to stay in the bathroom longer? Why is it so happy? Systematic Tokens: Tokens of Steam (Wil) for Drug or Medicine Use How to divide language into words.

1. Attractions such as signs
   Social Media Attractions: How do I login to a social media account in major forms on Twitter, Reddit or Steam?
   fear or apprehension.Google Trends: What Are Steam's Secrets? How do I get more information about this car?
   Take in, take out or manage your route

What is imagination:
I swear to God that you have my secret.

If the exchange is coming, it will take a long time to live here.

Fear or the word "Red" on the back of the card (with logo and brand full credit).
Within (time of purchase):
Get Steam for the price of how much is coming, or when there is a multi-point reference, how wrong is it, and why should I be silent?

Example: It costs $0.25 SAR $0.20 etc., but social media is more than that, so it has two websites. shut upCheckout Time (Sales Time):
When the price reaches its target, such as $0.40.
If the fear and greed indicator shows "extremely greedy", it may be time to sell.

Risk Management:
Set Stop Loss:For example, if we bought at $0.25, we can set our stop loss at $0.23.Bear markets have collapsed.

An idea:
Wallet activity is decreasing.
Flows to exchanges are increasing (people are sending their cryptocurrencies for sale).
There is a negative discussion on social media.
Fear and Greed is in the "fear" indicator (people sell out of fear).
Entry (at time of purchase):
When prices fall, it doesn't mean the decline will last forever. Wait for a while and then buy at the right time.

You can also consider taking a short position when a downtrend is evident.
Checkout Time (Sales Time):

When prices reach their lows and the sentiment indicator shows a reversal.

Example: Steam price drops to $0.25 and stabilizes, so you can close your short position.

Risk Management:

Setting Stop Loss: It is important to set a stop loss on a short sale position to avoid loss in case of sudden price rise.
Practical examples:

In a bull market:

1. Your Movement: 1.1.
   Steam is priced at $0.25 and wallet activity is increasing.
   There is a positive conversation on social media.
   The Fear and Greed index represents “greed”.
   You buy at $0.25 and set your target at $0.40. Let's set the stop loss at $0.23.

In a bear market:

1. Your Movement: 1.1.
   Steam fell from $0.40 to $0.30 and inflows are increasing.
   There is a negative discussion on social media.The fear and greed index is located on "fear".
   You'll want to exit around $0.25 by opening a small position.
   Result:
   A trading is based on sentiment which can help you trade smartly against tokens like Steem. Using on-chain data and sentiment indicators. You can accurately understand market trends and make timely buying and selling decisions.Most important thing is risk management.

Challenges and Best practices in Sentiment analysis.Sentiment analysis has become an important tool for traders in volatile markets such as cryptocurrency and stock markets.This help us to understand market sentiment how fearful, how greedy, or how excited people are.But like everything, there are some challenges and limitations that must be understood and deal with.Challenges and limitations of sentiment analysis

1. Delayed Feedback: 1.1.
   Emotional cues such as social media sentiment or cues of fear and greed sometimes lead to delayed responses. For example, when there is a negative trend on social media, its effects are gradually reflected in the market. This means you can stay one step behind.

For example:
If negative news about a cryptocurrency starts spreading on social media, it indicates a bearish market, but by then the price has already fallen.
Solution: To overcome this challenge, you can use on-chain data (such as wallet activity) and real-time data that shows changes instantly.

1. Misleading symptoms:
   Sometimes emotion signals point in the wrong direction. Social media can spread scary, over-hyped posts or news that doesn't match the real situation. This can put you at risk of making the wrong decision.

For example: when there is suddenly a lot of excitement about a cryptocurrency on social media, it does not mean that it will continue to grow for long. Sometimes it's just a short-term bubble.
Solution: Analyze sentiment from different data sources and don't rely on just one source.

1. Seasonal Market Fluctuations:

These are the seasonal fluctuations in the market such as the holiday season and the end of the fiscal year.These effects are not well known by sentiment indicators and may be misleading.
For example: Business may be slow during the holidays, which may make sentiment appear negative, but this may be a temporary factor. There may, and may not, be a consistent trend.
Solution: Consider historical data and seasonal trends to properly understand these time changes.

1. Reliability of Data:
   Emotional data from social media and other platforms is not always reliable. Sometimes, a few big influencers or business groups can change market sentiment in a negative or positive direction, which is not good.For example: certain groups or Twitter users may promote negative trends, which may lead toThey also get scared, even though there is no real reason for that fear to grow.
   Solution: When looking at sentiments on social media, check their authenticity and source. Always get data from the most trusted platforms.
2. Subtle Effects of Human Emotions:
   Sentiment analysis is based on human emotions, which may not always be accurate. When fear or greed rises in the market, it can move the market in its own direction, but it is often not rational.
   Example: People sell in a panic in anticipation of a sharp drop in the market, when rational analysis shows that the drop is only a temporary correction.
   Solution: When feelings change, balance them with accurate data and real facts.
   Best Ways to Improve Emotion-Based Trading Strategies
3. Multivariate Analysis:
   Don't make trading decisions based on emotion alone. Combine this with more technical and fundamental data. For example, analyze on-chain data, trading volumes and market conditions.
   Example: If there is positive sentiment on social media, but no significant change in wallet activity, it is likely noise and you need to be cautious. should
4. Verify the accuracy of sentiment data:
   Make sure the sentiment data you rely on comes from a reliable and authoritative source. Inaccurate or misleading data can affect your decision.
5. Use backtesting and historical data:
   Before adopting any sentiment trading strategy, backtest it on historical data. This will allow you to see if this strategy really works
6. Pursue Diversity:
   In addition to sentiment analysis, follow other trading methods as well. This can reduce risks and keep you safe.
7. Risk Management:
   Risk should always be considered in sentiment analysis. Sometimes emotional decisions can lead to losses, so practice risk management techniques like stop loss and trailing stop.

Let's understand in simple terms why and how wallet activity, exchange inflows and outflows, and token holding distributions help predict market trends.

1. Portfolio Activity

Wallet activity refers to the number of active wallets on the blockchain and the number of new wallets created. It shows how much people use the blockchain.

What does this mean in the running of the bull?

If a lot of new wallets are created, this is a sign that new people are showing interest in buying cryptocurrency.

Are there other transactions?

This means that people are engaged in buying and selling tokens, which shows the increasing demand in the market.
When portfolio activity increases, it is usually a sign of confidence and enthusiasm in the market.

How do we understand it?

Suppose your cryptocurrency portfolio is growing rapidly. This means more people want to buy it, which can cause prices to rise.

1. Incoming and outgoing exchange

Flow means that people send their cryptocurrencies to an exchange, perhaps to sell them.
"Outlaw" means that people take their cryptocurrencies away from the exchange, which means they want to keep them for themselves.

What does this mean in the running of the bull?

If there is a lot of flow, there is a risk that people are getting ready to sell. This can lead to market decline.
If illegal is high, that's a good sign. This means that people hold prices for a long time and believe that prices will rise further.

How do we understand it?

In the 2020-2021 bitcoin bull trend big investors were moving bitcoin from exchanges to their own wallets.This shows that they wanted to hold it for the long time which keep the market bullish.

1. Token Distribution

This metric tells you who owns which tokens (like Bitcoin or Ethereum):
Aries: Large investors who own many currencies.
Individual investors: Small investors.

What does this mean in the running of the bull?

Whale Behavior: If whales are buying tokens, this is a good sign for the market. This means they expect prices to rise further.
Retail Growth: If more coins come in from small investors, it shows that common people have also entered the market.

How do we understand it?

If the whales are buying and retail investors are also entering the market, this indicates that the uptrend is strong. But if whales suddenly start selling tokens, it could be a sign of a bearish market.

What can we learn from this initiative?

Confidence in the market: If there is activity in the wallet and tokens are withdrawn from the exchange, it shows that investors have confidence in the market.

Greed and Fear (FOMO):

If new portfolios are being built rapidly and the number of small investors is increasing, this indicates that people are buying early for fear of missing out.
Signs of a correction: If the whales start selling or the stock exchange has high inflows, it can be a sign of a bearish market.
Market Health: If token holdings are balanced and external sales are high, the market is healthy and stable.
Simply put: understand market conditions through emotional signals.
When you invest in a market it's important to understand what others are thinking. Fear and greed play an important role in the market.Emotional indicators such as the fear and greed index and social media sentiments are used to understand this.It indicate whether the market is in uptrend or down trend.
Now let us understand them in a little depth and see how using them properly can help us earn profits.

1. Fear and Greed Index (Fear and Greed Scale)
   It ranges between 0 and 100 for fear and greed in the market.

Near 0 (fear): When people feel fear, they start running away from the market.
Around 100 (Greed): When people become greedy, they start buying without thinking.

Meaning of bull and bear market. He is afraid of:
When people sell out of fear, understand that prices have fallen and buying opportunities are emerging.
Greed:
When everyone is busy in shopping its time to become smart.Prices can go up a lot, but they can also go down.
Understand with examples.
March 2020 (Covid incident):
The index was at the "fear" level at that time.Astute investors took advantage of the cheap buying opportunity. The market grew rapidly within a few months.

November 2021:
During this time the level of "greed" was on its highest point . Cryptocurrencies like Bitcoin have reached alltime de high. But the market soon collapsed.

1. Social Media Sentiment (People's Word Influences the Market)

What does this tell us? What people say on social media influences market direction.If people appreciate a token or stock, the price can increase. But if negative things start to happen, prices can also fall.

Positive Emotions:
If a property is praised on social media, it is a bullish sign. People can buy and prices can go up.

Negative emotions:
If there is too much fear and pessimism, the market can go down.
Understand with examples.
Dogecoin Boom (2021):
Dogecoin has skyrocketed with social media and Elon Musk's tweets. But when the noise subsided, the price began to fall sharply.
FTX Crash (2022):
Also see Meg Moken and see Burial.
How do you reverse Indicor (Maw) Ngo Moke?

1. Extreme fear
   It looks ready to put.
   It comes first.

   ON: This may be a minor position, find me cato wil me

2. Too much desire

During trading there is "exaggeration", meaning too much

Samuki: You can go a long way with profit.
What is the reason for this?

1. Further Information:
   Because the heart shows the waist, Sachin Machin Beni Kab

2. Further information:
   What's the atmosphere like?

3. Further information:
   While bowing, Ma Ji turns to Keto Will. More information (What did you learn?)
   Read More Repo Read More In the market, in the market, this is the way to go.
   In simple words: Understanding on-chain data and emotions together.

When you invest in markets like cryptocurrencies or stocks, it's not enough to just see "what's going on". You also need to understand what people are doing (on-chain data) and what they are thinking (emotional signals). Looking at both together gives you a clearer picture, so you can make better, more informed decisions.
Let us understand this in simple terms and take the example of Steam/USDT to see how the two can be used together.

On-Chain Data: What's Really Happening?

On-chain data comes directly from the blockchain and shows what people are doing in terms of investments.

If more people are buying: This means bullish signals.
If more people are selling: This means prices may fall.
Steam/USDT is an example.

Suppose the string data tells us the following:

1. Many people are buying Steem and sending it to their personal wallets (increasing exchange emissions).
2. Portfolio activity is increasing, which means new investors are joining.
   All of this points to the fact that people trust Steam and its prices are likely to rise.
   Emotional cues:
   What are people thinking?
   Sentiment indicators show how people feel about the market based on social media, news and discussions.
   Positive emotions: People are excited and buy.
   Negative emotions: People are scared and want to exit the market.

Steam/USDT is an example.
Let's just say there's a lot of positive things to say about Steam on social media:

1. Trends like #SteemToTheMoon.

2. Fear and Greed refers to “greed”.

This means that market mood is bullish, and prices may rise.

How are the two considered together?

Case 1: On-chain data and sentiment are booming.

On-chain data shows that people are buying Steam and increasing their holdings.

Sentiment signals suggest that Steam is gaining traction on social media.

Verdict: This is a strong indication that steam prices will rise further.

Case 2: On-chain data is fast, but emotions are slow.
On-chain data shows people are buying, but negative buzz is circulating on social media.

Conclusion: This shows that there is "fear" in the market, but smart investors are taking advantage of the opportunity. This could be a good buying opportunity.

Case 3: On-chain data slows down, but sentiment is fast.
On-chain data shows that people are selling Steam (the flow of substitutes is increasing), but people on social media are recommending to buy it.
Verdict: It's time to be cautious. Prices may fall as large investors sell.
How can I find a reversal signal in Steam/USDT?

1. When chain data shows fear, but sentiment is positive:
   If people are selling, but social media is positive, the market may be down.
2. When online data buys, but emotions are negative
   If big investors buy but the market is afraid, prices can reverse.
   Real world examples.

Rapid movement of steam:
If on-chain data shows that people are buying Steam in large numbers, and there's excitement about it on social media, that's a strong sign that prices will rise.

Events like FTX:

When on-chain data revealed that people were selling large amounts of tokens and panic spread on social media, the market tanked.
Why is it important to use strings and emotions together?

1. Understand the market correctly:
   The data and sentiments on the stream cover various aspects. Seeing them together gives you a good idea of 'what's happening' and 'what people are thinking'.
2. Make smart decisions:
   If both signs Cryptocurrency is quiet at times, but the most important brand is in a bad mood. Karna Asana is the solution. As far as I know how to do it, the phone has a tool to call the building you want to build, so there's no indication what it's used for. Your card is the same. This is the purpose of our journey, it is dangerous, it is dangerous, it is too late for us.

The most important elements:

1. Chain
   What is the secret?In/out-of-the-box swaps: What does it mean if you want to stay in the bathroom longer? Why is it so happy? Systematic Tokens: Tokens of Steam (Wil) for Drug or Medicine Use How to divide language into words.
2. Attractions such as signs
   Social Media Attractions: How do I login to a social media account in major forms on Twitter, Reddit or Steam?
   fear or apprehension.Google Trends: What Are Steam's Secrets? How do I get more information about this car?
   Take in, take out or manage your route

What is imagination:
I swear to God that you have my secret.

If the exchange is coming, it will take a long time to live here.
Social media with gftgo installed.
Fear or the word "Red" on the back of the card (with logo and brand full credit).
Within (time of purchase):
Get Steam for the price of how much is coming, or when there is a multi-point reference, how wrong is it, and why should I be silent?
Example: It costs $0.25 SAR $0.20 etc., but social media is more than that, so it has two websites. shut upCheckout Time (Sales Time):
When the price reaches its target, such as $0.40.
If the fear and greed indicator shows "extremely greedy", it may be time to sell.

Risk Management:
Set Stop Loss:For example, if we bought at $0.25, we can set our stop loss at $0.23.Bear markets have collapsed.

An idea:
Wallet activity is decreasing.
Flows to exchanges are increasing (people are sending their cryptocurrencies for sale).
There is a negative discussion on social media.
Fear and Greed is in the "fear" indicator (people sell out of fear).
Entry (at time of purchase):
When prices fall, it doesn't mean the decline will last forever. Wait for a while and then buy at the right time.

You can also consider taking a short position when a downtrend is evident.
Checkout Time (Sales Time):

When prices reach their lows and the sentiment indicator shows a reversal.

Example: Steam price drops to $0.25 and stabilizes, so you can close your short position.

Risk Management:

Setting Stop Loss: It is important to set a stop loss on a short sale position to avoid loss in case of sudden price rise.
Practical examples:

In a bull market:

1. Your Movement: 1.1.
   Steam is priced at $0.25 and wallet activity is increasing.
   There is a positive conversation on social media.
   The Fear and Greed index represents “greed”.
   You buy at $0.25 and set your target at $0.40. Let's set the stop loss at $0.23.

In a bear market:

1. Your Movement: 1.1.
   Steam fell from $0.40 to $0.30 and inflows are increasing.
   There is a negative discussion on social media.The fear and greed index is located on "fear".
   You'll want to exit around $0.25 by opening a small position.

Result:
A trading is based on sentiment which can help you trade smartly against tokens like Steem. Using on-chain data and sentiment indicators. You can accurately understand market trends and make timely buying and selling decisions.Most important thing is risk management.Challenges and Best practices in Sentiment analysis.Sentiment analysis has become an important tool for traders in volatile markets such as cryptocurrency and stock markets.This help us to understand market sentiment how fearful, how greedy, or how excited people are.But like everything, there are some challenges and limitations that must be understood and deal with.Challenges and limitations of sentiment analysis

1. Delayed Feedback: 1.1.
   Emotional cues such as social media sentiment or cues of fear and greed sometimes lead to delayed responses. For example, when there is a negative trend on social media, its effects are gradually reflected in the market. This means you can stay one step behind.

For example:
If negative news about a cryptocurrency starts spreading on social media, it indicates a bearish market, but by then the price has already fallen.
Solution: To overcome this challenge, you can use on-chain data (such as wallet activity) and real-time data that shows changes instantly.

1. Misleading symptoms:
   Sometimes emotion signals point in the wrong direction. Social media can spread scary, over-hyped posts or news that doesn't match the real situation. This can put you at risk of making the wrong decision.
   For example: when there is suddenly a lot of excitement about a cryptocurrency on social media, it does not mean that it will continue to grow for long. Sometimes it's just a short-term bubble.
   Solution: Analyze sentiment from different data sources and don't rely on just one source.
2. Seasonal Market Fluctuations:

These are the seasonal fluctuations in the market such as the holiday season and the end of the fiscal year.These effects are not well known by sentiment indicators and may be misleading.
For example: Business may be slow during the holidays, which may make sentiment appear negative, but this may be a temporary factor. There may, and may not, be a consistent trend.
Solution: Consider historical data and seasonal trends to properly understand these time changes.

1. Reliability of Data:
   Emotional data from social media and other platforms is not always reliable. Sometimes, a few big influencers or business groups can change market sentiment in a negative or positive direction, which is not good.For example: certain groups or Twitter users may promote negative trends, which may lead toThey also get scared, even though there is no real reason for that fear to grow.
   Solution: When looking at sentiments on social media, check their authenticity and source. Always get data from the most trusted platforms.
2. Subtle Effects of Human Emotions:
   Sentiment analysis is based on human emotions, which may not always be accurate. When fear or greed rises in the market, it can move the market in its own direction, but it is often not rational.
   Example: People sell in a panic in anticipation of a sharp drop in the market, when rational analysis shows that the drop is only a temporary correction.
   Solution: When feelings change, balance them with accurate data and real facts.
   Best Ways to Improve Emotion-Based Trading Strategies
3. Multivariate Analysis:
   Don't make trading decisions based on emotion alone. Combine this with more technical and fundamental data. For example, analyze on-chain data, trading volumes and market conditions.
   Example: If there is positive sentiment on social media, but no significant change in wallet activity, it is likely noise and you need to be cautious. should
4. Verify the accuracy of sentiment data:
   Make sure the sentiment data you rely on comes from a reliable and authoritative source. Inaccurate or misleading data can affect your decision.

1. Use backtesting and historical data:
   Before adopting any sentiment trading strategy, backtest it on historical data. This will allow you to see if this strategy really works
2. Pursue Diversity:
   In addition to sentiment analysis, follow other trading methods as well. This can reduce risks and keep you safe.
3. Risk Management:
   Risk should always be considered in sentiment analysis. Sometimes emotional decisions can lead to losses, so practice risk management techniques like stop loss and trailing stop.

Note all pictures are taken from pixabay

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