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WINGSUSD

Wings Is Completing Final Leg Of Bullish BAT For Upto 108% RallyOn the tow day chart, the price action of the Wings token is completing the last leg of bullish BAT and soon it will be entered in potential reversal zone. Buying And Sell Targets: The buying and sell targets as per the Fibonacci sequence of bullish BAT should be: Potential reversal or buying zone: $11.83 to $10.25 Fibonacci projection or sell zone: $15.62 to $21.33 Stop Loss: The potential reversal zone area that is up to $10.25 can be used as stop loss in case of complete candlestick closes below this level. Possible profit and loss ratio: As per the above targets, this trade has a profit possibility of 108%, and the loss possibility is 13.5%. Note: Above idea is for educational purpose only. It is advised to diversify and strictly follow the stop loss, and don't get stuck with trade.
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by moon333
WING 12h Good earnings is closeWe present to your attention another DeFi project that is developing under the patronage of Binance. WING is a DeFi cross-chain lending platform built on Ontology (ONT) basis. You may read more about the project, but we are interested in short-term speculation on price changes. From the beginning of December, trading volumes began to increase rapidly, and the price began to grow. Buyers entered the active phase of price pushing. Most likely, the next upward impulse will be within three days. And before that, the price may still fall to $17. The upper target of profit -taking is $30. Carefully follow the coin and don't miss the chance to earn 50-100% in a short time. _______________________________ Since 2016 , we have been analyzing and trading the cryptocurrency market. We transform our knowledge, trading moods and experience into ideas. Each "like under the idea" boosts the level of our happiness by 0.05%. If we help you to be calmer and richer - help us to be happier :)
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by P_S_trade
13
[WINGS/BTC] WINGS COULD FLY HIGHER [ POT 30-180% PROFIT]#WINGS / BTC ( Binance, Bittrex ) Buy Range : 0.00002600 Stop loss : 4h Closed below 0.00002574 sats ( Short-term ) , Not Recommend for Long-Term Investors Target 1 : 0.00003439 Target 2 : 0.00004991 Target 3 : 0.00007479 Wings has been falling down after reach all time highs last year. After had a corrective movement in January but it has been continue going down until a month ago where it set up a new low. On the 4h, you can a draw an easy ascending triangle which indicate us clearly where it can be considered a failed pattern if break down ( Our short-term SL ). On the positive way , this break could make us reach our target 1 easy. Moving averages are supporting candlesticks pattern, CCI suggesting bottom of the red momment and Stoch RSI ready to make another push up. On the daily , Hammer canddlestick was spotted on 12 September which usually means the final bottom of a downtrend. Since then , Wings has been sharing a clearly bullish reversal performance suggesting this positive moment could be extended. Some indicators in there suggest this coin need a healthy correction but positive moment could be extended after long bloodbath and positive reaction on other cryptomarkets On the weekly, RSI , MACD and CCI confirming bullish moment and we could have more upside before some corrective movement. If you are looking for long-term investiment, this coin is pretty undervalued. Even if short-term pattern fails . This coin could retest support again before fly again. Only any delist or negative news could means a sell. Good luck !
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by MikeCryptoSignals
Wings DAO Hitting Support AreaFibonacci applied to the last two corrective waves up shows that currently Wings DAO has entered the support area between to 127.2% retracement levels. this is the area between $0.23 and $0.26. At the same time WING/USD has reached the area between two downtrend trend-lines, but currently trading above them. This is a strong support area for Wings DAO which, if rejected, could be turning point for the trend. WINGS could start reversing to the upside and potentially reaching the previous key resistance, the psychological level at $1. However, the downside risk remains, and price could reach the psychological support level at $0.2 before and if trend reverses. Therefore it could be better to wait for the uptrend confirmation, that could be the break above the downtrend trendline.
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by CryptoPAMM
WINGSBTC - Wait to buy and get 100%Our analyzes are based on the Elliotts theory to determine the main trend, the targets of waves based on Fibonacci, Resistance - Support Zone. Also, we use indicators like EWO, MACD, MA50, Ichimoku, BB to confirm the end and start of a trend. 4H: WINGS is going wave 2. After the end of wave 2, we have Buy zone and sell at the end of wave 3. TRADE INSTRUCTIONS Buy in: 0.00005863 - 0.00006334 Targets: (1) 0.00009635 (2) 0.00010198 (3) 0.00011970 (4) 0.00012969 (5) 0.00015722 Stop loss: (Stop loss will be updated in detail when happening) At present, we recommend that you sell in short-term to turn around the capital to another altcoin to maximize profits. If you find our post useful, please give us a BIG LIKE Your support will be a great motivation for us to update chart every day! If you have any opinion about this chart, don’t hesitate to comment below! The discussion will make us better! Thank you, guys!
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by Beemaster
1
Wings - Upcoming Wave Up?Following the previous idea on Wings , it has reached the upside target at $2.3, although there was no clean bounce and price spiked higher, testing $2.66 mark. The resistance at $2.3 is strong but in order for Wings to reverse, it should provide a clean bounce of that resistance first.  The support at 161.8% Fibonacci retracement, that is $1.42, is being rejected and if it holds we are likely to see the next wave up very soon. The first target is obviously $2.3, but if broken next target would be at $3.4, that is inline with two Fibonacci retracement levels. In the worst case scenario, at this point. price could return back to the 200 Moving Average or even back to the downtrend trendline, but in any case, the uptrend is likely to resume at some point, going to the new all-time high.
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by CryptoPAMM
2
Wings Fly Time?On the 17th of December, Wings DAO broke above the downtrend trendline, while prior to that bounced off the uptrend trendline. After the breakout price corrected back and rejected the downtrend trendline, which this time is acting as a support This is the first indication that price could be ready to go higher, and perhaps this is just a beginning of a huge growth. The nearest upside target is seen at $2.3 where two Fibonacci are inline. First is a 327.2% retracement level of the Fibs applied to the corrective wave after the downtrend trendline breakout. The second is the 241.4% level of the Fibs applied to the corrective that started in June. Keep in mind that only a break and close below the $0.4 support could invalidate bullish outlook.
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by CryptoPAMM
37
WINGS | New updates , UI , Conferences coming | Break out soon |Wings is a platform that enables startups, companies, and entrepreneurs to submit their ideas for community evaluation via prediction markets. It essentially enables people to forecast how much this idea evolves, for example, in terms of, crowd-sale funding or how much this idea will expand and or gain market adoption, etc. The unique selling proposition of Wings is that users contributing their forecasts in the community are rewarded when their predictions “answer” are closest to what really took place. WINGS combine several concepts, ranging from attention rewards, forecasting markets, smart contracts, governance models and federated funds security. The platform places an emphasis on encouraging the WINGS community to identify and promote high-value proposals that have higher chances of positive financial returns. WINGS create a decentralized forecasting ecosystem that gives tangible incentives for WINGS token holders to put the effort in making the best available choices to maximize their rewards. If you combine the three general business models of Google -1.09% , Kickstarter, and the DAO you might come close to what Wings is attempting to create. Problems WINGS Strives to Achieve The WINGS platform strives to solve the issue of “inappropriate” and “unworthy” project submissions and in the process, increase the probability that “future backers” which have the highest rewards with the lowest risk. WINGS will use the following technologies to achieve their end-result. Swarm intelligence through decentralized forecasting market: Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. Flexible governance and participation models WINGS employ a liquid DAO governance model where both the voter and delegate have a vote on any issue. The participation model is creating in a way to encourage participation depending on the level of forecasting one contributes. Those participating in forecasts on the WINGS platform receive a public rating representing their ability to make correct forecasts. In WINGS forecast ratings influences the reward that both the token owner and his delegate receive. A higher rating signals a participant who outperforms and therefor other token owners should be willing to loan their forecasting right to the particular participant, creating a meritocratic decision-making system. A participant’s forecast rating increases or decreases following forecasting rounds, and also according to the token holder’s forecast activity. The more accurate a forecast, the more the rating will increase, and similarly the more inaccurate a forecast is, the more the rating will decrease. There is an equilibrium point for each forecast where the rating will not change at all. Deep learning and machine-based predictive modeling: Deep Learning LSTM (Long-Short Term Memory) Networks, it would be possible to initiate human interaction with the bot and enable users to naturally converse with the system. Deep learning (also known as deep structured learning or hierarchical learning) is the use of artificial neural networks that contain more than one hidden layer.
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by marketcyclescrypto