Trending February 2024 # Toncoin Price Analysis: 05 April # Suggested March 2024 # Top 5 Popular

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A move above the bearish order block would likely see Toncoin register more gains

The diverging Bollinger Bands suggested that another move north could be in the works

As the broader cryptocurrency market turns bullish, with Ethereum breaking past the $1,840-resistance level to hit $1,900 and Bitcoin attempting to climb above $29,200 again, Toncoin (TON/USDT) displayed mixed signals based on various technical indicators.

Read Toncoin’s [TON] Price Prediction 2023-24

This former zone of resistance seemed to be on the verge of being broken

Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. With a value of 66.3, the RSI for the TON/USDT pair was in a moderately overbought territory. This suggested that there might be a slowdown or a possible reversal in the short term, as the momentum nears overbought levels.

Bollinger Bands  help traders identify potential trend reversals and price breakouts by tracking volatility. The initial divergence of the bands indicated that the TON/USDT pair may be entering a period of expansion. And, a significant price action north could follow.

On-balance Volume (OBV) is a cumulative volume-based indicator, one that analyzes the relationship between price and volume. The increase in OBV from 15 million on 28 March to 20.56 million suggested a hike in buying pressure. This hinted at the possibility of sustained price growth for TON.

Chaikin Money Flow (CMF) is an oscillator that measures the flow of money into and out of an asset. A negative CMF value of -0.05 highlighted that selling pressure is slightly dominating buying pressure. This could lead to short-term bearish momentum on the charts.

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Moving Averages – The 21-period SMA (2.25) and the 55-period SMA (2.17) for TON/USD revealed close proximity between the short-term and long-term moving averages. This close positioning suggested a potential trend reversal or breakout in the near future, as the market awaits a decisive price movement.

Moving Average Convergence Divergence (MACD)  is a momentum indicator that assists traders in identifying trend strength and direction. A MACD value of 0.02, with both the MACD and Signal Line above the zero line, signalled bullish momentum for the TON/USD pair. This could result in further price appreciation in the short term.

Parabolic SAR is a trend-following indicator that helps traders determine potential trend reversals and current trend direction. With the SAR dots positioned above the price candles, the Parabolic SAR suggested a bearish trend for TON/USDT. However, traders should monitor the SAR dots closely for any potential flip below the price, signalling a bullish reversal.

Toncoin has good chances of gains if a breakout past $2.3 materializes

Considering the inferences drawn from the various technical indicators, the TON/USD pair flashed mixed signals. The RSI, OBV, and MACD pointed to potential bullish momentum, while the Chaikin Money Flow and Parabolic SAR highlighted a bearish trend. On the contrary, the diverging Bollinger Bands and the close positioning of the moving averages indicated a possible breakout in either direction.

In the context of the overall bullish sentiment across the crypto-market, traders should exercise caution and closely monitor the TON/USDT pair for any definitive trend signals. A break above significant resistance levels at $2.40 and $2.60 could present a ‘buy’ opportunity, while a break below the support levels at $2.05 and $1.85 may signal a ‘sell’ opportunity.

As the market remains uncertain, vigilance and swift response to emerging trends are essential for traders in the current climate.

You're reading Toncoin Price Analysis: 05 April

Uniswap, Xrp, Binance Coin, Theta Price Analysis: 20 April

The last 7 days have seen Bitcoin, the world’s largest cryptocurrency, at its most volatile, with BTC falling down the charts after hitting an ATH of over $64,500 on the charts. Thanks to its correlation with the rest of the market, many of the market’s alts depreciated too, with the latter reversing course after surging independent of BTC earlier in the month. The examples of Uniswap, XRP, Binance Coin, and THETA were a case in point.

Uniswap [UNI]

UNI, the crypto-market’s biggest DeFi token at press time, was on its way to a new ATH before corrections set in thanks to the Bitcoin-fueled market-wide depreciation on the 16th of April. Since then, UNI was observed to have fallen by over 27%, with the crypto falling down CoinMarketCap’s rankings to sit at 11th.

While Parabolic SAR’s latest dotted markers had switched to position themselves above the price candles, Awesome Oscillator’s histogram registered a fall in market momentum, with the same flashing bearish signals.

The scale of the corrections over the past week was evidenced by what was projected by a previous analysis. It’s worth noting, however, that with V3 scheduled to launch on Ethereum in May, some bullish momentum may return soon.

XRP

One of the market’s most popular altcoins, XRP has recovered remarkably since it fell by 50% on the price charts on the back of the SEC filing a lawsuit against Ripple Labs. In fact, it can also be argued that the aforementioned lawsuit has galvanized and catalyzed support, pushing demand for the altcoin through the roof.

While the crypto did climb to a 3-year high recently, the past few days saw the alt correct on the charts, with XRP losing over 30% of its value in the last week alone. While a trend reversal seemed unlikely at the time of writing, a major development in the lawsuit could flip the narrative.

The mouth of Bollinger Bands was wide at press time, despite it closing in somewhat – A sign that price volatility may fall soon. On the contrary, Relative Strength Index was dipping towards the oversold zone after spending some time in the overbought zone.

XRP was in the news recently after a Japanese exchange relisted the altcoin.

Binance Coin [BNB]

Binance Coin, the world’s biggest exchange token, has risen exponentially over the course of 2023, with BNB recording YTD gains of 559% at press time. In fact, so dramatic has been the scale of BNB’s growth that it is now among the market’s top-5 cryptos on CoinMarketCap.

On the back of the aforementioned growth, however, BNB wasn’t immune to the corrections that followed BTC’s dip below $60,000. While the scale of its depreciation hasn’t been as sharp as UNI or XRP’s, the exchange token did fall by 19% in the last 5-6 days.

The prevailing bearishness was underlined by the alt’s technical indicators as MACD registered a bearish crossover on the charts; Chaikin Money Flow was dipping from over 0.25 to suggest that capital outflows were slowly gaining strength.

BNB’s price action could be an opportunity for short-term traders, however, on-chain metrics suggested that the token is undervalued.

THETA 

While the scale of its hike in March, a month that saw much of the market trade sideways, did surprise many in the crypto-market. THETA, at press time, was moving south on the back of a Bitcoin-precipitated downtrend. Here, it’s worth underlining that even before the said downtrend set in, THETA was trading within a tight price range, movement very contrary to what it was seeing last month.

In fact, despite an uptick in trading volumes, THETA fell by over 27% on the charts over the past week.

THETA’s indicators sided with the market’s bears. While Parabolic SAR’s dotted markers were over the price candles, MACD line was diverging away from the Signal line, with the prospect of a bullish crossover looking unlikely.

No Foolin’ — Find Tablet Bargains In April

April may be the cruelest month for poets, but it won’t be for deal seekers on non-Apple tablets, large HDTVs, desktop computer replacements, and ultrabooks.

Rather than shelve the new iPad’s predecessor, as it did with the original iPad, Apple decided to continue selling the iPad 2 starting at $399 — $349 at some discounters. That will prod other tablet makers to reassess their pricing structure, Dealnews reasons in its monthly analysis of deal trends.

“[N]on-Apple slate manufacturers will feel compelled to respond aggressively, and as such we’ve already seen a new all-time low on the Amazon Kindle Fire,” it observes. “Could this be a sign of things to come from other tablets as well?”

Not everyone sees the iPad 2’s pricing as much of a factor on the pricing at the low end of the market where the Kindle Fire lives. They argue that the iPad 2’s pricing is designed to blunt competition from the growing number of 10-inch tablets in the $300-$400 price bracket.

Nevertheless, changes appear to be in the winds, according to chúng tôi Decide combs the Internet for intelligence on pricing to predict price moves on products. Of the top eight non-Apple tablets, the website recommends only one as a “buy now” because its price isn’t likely to drop­ — Motorola’s Xoom tablet.

For shoppers looking for a deal on an iPad 3, that isn’t likely for at least six months and even then it would be a small discount of 10 percent, Dealnews notes. It bases that prediction on historic pricing trends for the iPad 2.

Deals in April on 55-inch HDTVs will be good, but won’t break any new ground for the year, Dealnews says. Deals should be available during the period on name-brand 55-inchers for under $800 and on off-brand sets for under $590. Those deals on the off-brand models are 14 percent better than they were during all of 2011, the deal site observed.

Those $590 deals, though, aren’t appearing at Decide yet. Some 55-inch off-brand models are selling at below $800. For the majority of them, Decide is recommending a buy because it isn’t seeing any price drops in sight.

Neither are any 55-inch brand-name TVs listed at below $800, but for the majority of those that are listed, Decide is recommending “wait” because either a price change or new model is in the wings.

Dealnews also notes that deals on 46-inch HDTVs are at below last year’s Black Friday levels, with deals at $550 now compared to $598 during the holiday season.

It adds that the deal window on 3D TVs appears to have closed temporarily. Nothing is in sight that compares to the $699 deals that appeared in February, and it doesn’t expect that kind of deal to appear again until the summer.

Consumers looking for hefty notebooks, commonly known as desktop replacements, can still find deals at Black Friday levels, Dealnews says. For less than $800, you should be able to pick up, if you have the strength, a model with a display larger than 17 inches, plus 8GB of RAM, Intel Core i7 processor, and a hard drive of 500GB or more.

While models with those prodigious specs can’t be found at Decide for less than $800, models from Dell, Asus and HP can be found for around $850.

Dealnews also predicts that a trend in deals on ultrabooks will continue during April. Two models it recommends keeping an eye on are the Asus Zenbook, which hit a price low in March at $849, and the Acer Aspire S3, which reached a low of $749.

Those deals haven’t affected pricing found at Decide yet. It expects prices on the Zenbook to remain steady or rise. For the the Aspire S3, prices will fluctuate within a range of $39. With the model selling in the $790 range now, it could easily hit a $750 low in April.

As for the original ultrabook — the MacBook Air — Decide is recommending shoppers for that portable keep their wallets in their pockets, as it sees a new model appearing just a scant four months away.

Follow freelance technology writer John P. Mello Jr. and Today@PCWorld on Twitter.

Safemoon Price Prediction, Will Sfm’s Price Hit $0.00032?

SFM should be around $0.00025.

SafeMoon price prediction 19 Jul 2023: SafeMoon’s price for 19 Jul 2023 according to our analysis should range between $0.00024 to $0.00028 and the average price of SFM should be around $0.00026.

SafeMoon price prediction 20 Jul 2023: SafeMoon’s price for 20 Jul 2023 according to our analysis should range between $0.00022 to $0.00025 and the average price of SFM should be around $0.00024.

SafeMoon price prediction 21 Jul 2023: SafeMoon’s price for 21 Jul 2023 according to our analysis should range between $0.00022 to $0.00025 and the average price of SFM should be around $0.00024.

SafeMoon price prediction 26 Jul 2023: SafeMoon’s price for 26 Jul 2023 according to our analysis should range between $0.00021 to $0.00025 and the average price of SFM should be around $0.00023.

SafeMoon price prediction 31 Jul 2023: SafeMoon’s price for 31 Jul 2023 according to our analysis should range between $0.00021 to $0.00024 and the average price of SFM should be around $0.00023.

SafeMoon price prediction 10 Aug 2023: SafeMoon’s price for 10 Aug 2023 according to our analysis should range between $0.00021 to $0.00024 and the average price of SFM should be around $0.00023.

SafeMoon price prediction September 2023: SafeMoon’s price for September 2023 according to our analysis should range between $0.00022 to $0.00025 and the average price of SFM should be around $0.00024.

SafeMoon price prediction October 2023: SafeMoon’s price for October 2023 according to our analysis should range between $0.00023 to $0.00026 and the average price of SFM should be around $0.00025.

SafeMoon price prediction November 2023: SafeMoon’s price for November 2023 according to our analysis should range between $0.00024 to $0.00027 and the average price of SFM should be around $0.00025.

SafeMoon price prediction December 2023: SafeMoon’s price for December 2023 according to our analysis should range between $0.00024 to $0.00028 and the average price of SFM should be around $0.00026.

SafeMoon price prediction 2024: SafeMoon’s price for 2024 according to our analysis should range between $0.00032 to $0.00049 and the average price of SFM should be around $0.0004.

SafeMoon price prediction 2025: SafeMoon’s price for 2025 according to our analysis should range between $0.00043 to $0.00065 and the average price of SFM should be around $0.00054.

SafeMoon price prediction 2026: SafeMoon’s price for 2026 according to our analysis should range between $0.00057 to $0.00086 and the average price of SFM should be around $0.00072.

SafeMoon price prediction 2027: SafeMoon’s price for 2027 according to our analysis should range between $0.00077 to $0.0011 and the average price of SFM should be around $0.00096.

SafeMoon price prediction 2028: SafeMoon’s price for 2028 according to our analysis should range between $0.001 to $0.0015 and the average price of SFM should be around $0.0012.

SafeMoon price prediction 2029: SafeMoon’s price for 2029 according to our analysis should range between $0.0013 to $0.002 and the average price of SFM should be around $0.0017.

SafeMoon price prediction 2030: SafeMoon’s price for 2030 according to our analysis should range between $0.0018 to $0.0027 and the average price of SFM should be around $0.0022.

SafeMoon price prediction 2031: SafeMoon’s price for 2031 according to our analysis should range between $0.0024 to $0.0036 and the average price of SFM should be around $0.003.

SafeMoon price prediction 2032: SafeMoon’s price for 2032 according to our analysis should range between $0.0032 to $0.0048 and the average price of SFM should be around $0.004.

SafeMoon price prediction 2033: SafeMoon’s price for 2033 according to our analysis should range between $0.0042 to $0.0063 and the average price of SFM should be around $0.0053.

SafeMoon price prediction 2034: SafeMoon’s price for 2034 according to our analysis should range between $0.0056 to $0.0085 and the average price of

Data Analysis Using Python Pandas

In this tutorial, we are going to see the data analysis using Python pandas library. The library pandas are written in C. So, we don’t get any problem with speed. It is famous for data analysis. We have two types of data storage structures in pandas. They are Series and DataFrame. Let’s see one by one.

1.Series

Series is a 1D array with customized index and values. We can create a Series object using the pandas.Series(data, index) class. Series will take integers, lists, dictionaries as data. Let’s see some examples.

Example # importing the pandas library import pandas as pd # data data = [1, 2, 3] # creating Series object # Series automatically takes the default index series = pd.Series(data) print(series) Output

If you run the above program, you will get the following result.

0 1 1 2 2 3 dtype: int64

How to have a customized index? See the example.

Example # importing the pandas library import pandas as pd # data data = [1, 2, 3] # index index = ['a', 'b', 'c'] # creating Series object series = pd.Series(data, index) print(series) Output

If you run the above program, you will get the following result.

a 1 b 2 c 3 dtype: int64

When we give the data as a dictionary to the Series class, then it takes keys as index and values as actual data. Let’s see one example.

Example # importing the pandas library import pandas as pd # data data = {'a':97, 'b':98, 'c':99} # creating Series object series = pd.Series(data) print(series) Output

If you run the above program, you will get the following results.

a 97 b 98 c 99 dtype: int64

We can access the data from the Series using an index. Let’s see the examples.

Example # importing the pandas library import pandas as pd # data data = {'a':97, 'b':98, 'c':99} # creating Series object series = pd.Series(data) # accessing the data from the Series using indexes print(series['a'], series['b'], series['c']) Output

If you run the above code, you will get the following results.

97 98 99 2.Pandas

We have how to use Series class in pandas. Let’s see how to use the DataFrame class. DataFrame data structure class in pandas that contains rows and columns.

We can create DataFrame objects using lists, dictionaries, Series, etc.., Let’s create the DataFrame using lists.

Example # importing the pandas library import pandas as pd # lists names = ['Tutorialspoint', 'Mohit', 'Sharma'] ages = [25, 32, 21] # creating a DataFrame data_frame = pd.DataFrame({'Name': names, 'Age': ages}) # printing the DataFrame print(data_frame) Output

If you run the above program, you will get the following results.

               Name    Age 0    Tutorialspoint    25 1             Mohit    32 2            Sharma    21

Let’s see how to create a data frame object using the Series.

Example # importing the pandas library import pandas as pd # Series _1 = pd.Series([1, 2, 3]) _2 = pd.Series([1, 4, 9]) _3 = pd.Series([1, 8, 27]) # creating a DataFrame data_frame = pd.DataFrame({"a":_1, "b":_2, "c":_3}) # printing the DataFrame print(data_frame) Output

If you run the above code, you will get the following results.

   a  b  c 0  1  1  1 1  2  4  8 2  3  9  27

We can access the data from the DataFrames using the column name. Let’s see one example.

Example # importing the pandas library import pandas as pd # Series _1 = pd.Series([1, 2, 3]) _2 = pd.Series([1, 4, 9]) _3 = pd.Series([1, 8, 27]) # creating a DataFrame data_frame = pd.DataFrame({"a":_1, "b":_2, "c":_3}) # accessing the entire column with name 'a' print(data_frame['a']) Output

If you run the above code, you will get the following results.

0 1 1 2 2 3

Inflatable Addition To The Space Station Will Launch In April

BEAM Me Up

The Bigelow Expandable Activity Module (BEAM) inflatable habitat is expected to launch to the space station on April 8.

The first astronauts on Mars probably won’t live in a tin can like the International Space Station. Big, heavy structures are expensive to launch, and aren’t great at protecting against the radiation they’d be pummeled with on Mars. Instead, the first Martians might live in something like a pop-up tent.

Bigelow Aerospace designs inflatable space habitats–lightweight modules that ride compacted in the trunk of a spacecraft, then expand to a much larger size in space. In a launch scheduled for April 8, the company is sending one of its modules up to the International Space Station for testing.

The module had previously been scheduled to launch in the fall of 2024, but after SpaceX suffered a rocket explosion in June, its missions to the ISS have been grounded.

Next month, after SpaceX’s Dragon capsule docks with the space station, one of the station’s robotic arms will unload the Bigelow Expandable Activity Module, or BEAM, from the Dragon’s trunk, and then install it to the station itself. Then the module will inflate to about 13 feet long and 10 and a half feet in diameter.

Here’s a video of the unloading process, from Bigelow’s website:

On the ISS, astronauts will monitor BEAM’s pressure, temperature, and ability to deflect radiation and debris. The module will be closed off from the rest of the space station for most of the time, but occasionally astronauts will enter the BEAM to take measurements.

Bigelow has tested other small-scale versions in orbit, unmanned. Genesis I and II launched in 2006 and 2007, respectively, and are still helping the company assess the long-term safety of the design.

The BEAM module launching in April weighs 1,400 pounds. That may sound like a lot, but it beats the space station by a long shot. Whereas BEAM weighs an average of 5.46 pounds per cubic foot of space it provides, the ISS weighs 28.6 pounds per cubic foot.

Inside the BEAM module Bigelow Aerospace

Bigelow’s design stems from NASA’s TransHab design, which stalled in the 1990s due to budget constraints. It uses a material called Vectran, which is said to be twice as strong as Kevlar. Because the material is flexible, the inflatable habitats are expected to be better than metal at protecting against radiation and micro-meteorite strikes. They’ll absorb hits, rather than shattering on impact or scattering radiation like metal does.

If the BEAM module performs well on the ISS, Bigelow hopes to launch a larger version within the next few years. Their pill-shaped BA-330 will be 45 feet long and 22 feet in diameter, and the modules can link together to form an even larger habitat.

The company envisions using the habitats to build private space stations and space hotels in orbit. And eventually, the inflatable domiciles could provide a home for astronauts colonizing the moon and Mars. BEAM us up, Bigelow!

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