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DATA price chart
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Live Databot price
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0.000041
Databot price chart
Databot (DATA) is currently priced at 0.000000 USD, with a 24-hour change of 0%. Last updated: 10/11/2026 10:44:42 (UTC+0). Track real-time prices of DATA on WEEX, backed by our 1,000 BTC Protection Fund.
Databot (DATA) price details
24h high
0 USD
24h low
0 USD
24h change
0%
24h trading vol.
- USD
Market cap
38.12K USD
Fully diluted market cap
41.62K USD
Total supply
1.00B
Max supply
1.00B
All-time high (05/29/2025)
0.002906 USD
All-time low
0 USD
Ranking
3,241
Circulating supply
91.58%
3D change
0.00%
7D change
0.00%
30D change
0.00%
1Y change
+92.27%
Databot price history
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Price
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Volume
Change (%)
As of today, the average price of Databot (DATA) is 0.001453 USD. The all-time high was 0.002906 USD on 05/29/2025, while the all-time low was 0 USD on --.
Databot technical analysis
Technical analysis leverages historical price patterns and trading volume to provide insights into potential Databot movements and help traders identify opportunities in the volatile crypto market.
Summary:
Moving average
Buy: 0
Sell: 0
Indicators
Buy: 0
Sell: 0
Databot (DATA) sentiment
How do you feel about Databot (DATA) right now?
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About Databot
DATA is a global AI data network, formerly known as Story Protocol. Through its Contributor App Network, the Trace public audit layer, and the Poseidon processing network, DATA enables AI labs to access real-world human data at scale, verify its provenance, and trust its quality.
The result is a verifiable data infrastructure for next-generation AI, where every record is backed by cryptographic credentials and operates on a transparent, auditable framework.
Official links
Website
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X(Twitter)FAQ
1. What is the current price of Databot (DATA) in USD?
As of 10/11/2026, the current price of Databot (DATA) is 0.{4}4162 USD.
2. What is the market capitalization of Databot (DATA)?
Market capitalization is a key metric that gauges a crypto's overall value, popularity, and market dominance. The current market cap of Databot (DATA) is 38.12K USD.
3. What is the circulating supply of Databot (DATA)?
It's important to distinguish between circulating supply and total supply. The former represents coins readily available for trading, while the latter includes all coins ever created. Currently, Databot (DATA) has a circulating supply of 915.84M DATA out of a total supply of 1.00B DATA.
4. What factors influence the price of Databot (DATA)?
Numerous factors contribute to the price fluctuations of Databot (DATA).
Supply and demand dynamics: A limited supply of Databot against increasing demand often drives up the price. Conversely, a large supply or decreased demand can lower the price.
Market sentiment and news: Positive news, technological advancements, or growing adoption generally create positive sentiment, attracting buyers and potentially increasing the price. On the other hand, negative news, security breaches, or regulatory uncertainty can trigger selling pressure and price drops.
Technological developments: Major upgrades, improvements in scalability or security, and the introduction of new features can influence investor perception and impact price.
Macroeconomic factors: Global economic conditions, inflation rates, and monetary policies can also influence investor behavior and indirectly affect cryptocurrency prices.
Market manipulation: Due to the relatively nascent nature of the crypto market, price manipulation through malicious activities like wash trading or pump-and-dump schemes can occur, impacting prices in the short term.
5. Is Databot (DATA) a good investment?
When evaluating Databot (DATA) as an investment, consider the following key factors.
Project fundamentals: Research the project's team, technology, white paper, and use cases to assess its potential value.
Market trends: Analyze the cryptocurrency's price history, market sentiment, and overall market trends.
Competition: Evaluate the competitive landscape and how Databot compares to similar projects.
Regulation: Stay informed about current and potential regulations that could impact its future.
6. Where can I buy Databot (DATA)?
You can buy Databot (DATA) on various cryptocurrency exchanges.
Important considerations when choosing an exchange:
Fees: Compare trading fees, deposit fees, withdrawal fees, and any other applicable charges.
Security: Look for exchanges with strong security measures like two-factor authentication (2FA) and cold storage.
Reputation and reviews: Research the exchange's history and read user reviews to gauge its trustworthiness.
Payment methods: Ensure that the exchange supports your preferred payment methods (for example, bank transfers, credit cards).
Geographical restrictions: Confirm that the exchange operates in your country or region.
We highly recommend WEEX as a top-rated option. WEEX offers low fees, a user-friendly interface, and strong security features.
7. What are the typical fees when buying Databot (DATA)?
The fees for buying Databot (DATA) can vary depending on the cryptocurrency exchange you use and your chosen payment method. Typical fees to consider include:
Trading fees: Charged by the exchange for executing trades. They are structured as a percentage of the trade amount (such as 0.1 – 0.5%) or a flat fee per transaction.
Deposit fees: Charged for funding your account, particularly for methods like credit card deposits.
Withdrawal fees: You may encounter fees when withdrawing your Databot (DATA) or fiat currency from the exchange.
8. What are some technical indicators used for analyzing Databot (DATA)?
Traders often use technical indicators to analyze price charts and identify potential trading opportunities for Databot (DATA). Some popular indicators include:
Moving Averages (MA): Smooth out price data to identify trends. Common examples are the 50-day, 100-day, and 200-day MAs.
Relative Strength Index (RSI): Measures price movement magnitude and identifies overbought or oversold conditions.
Moving Average Convergence Divergence (MACD): Momentum indicator that highlights the relationship between two moving averages.
Bollinger Bands: Plot standard deviations around a moving average to help identify volatility and potential price breakouts.
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