Stellar Lumen (XLM) price is at risk of falling to $0.10 again Over the past few sessions, the Stellar Lumen price has struggled to climb above the resistance level of $0.1250 against the US dollar. The XLM/USD pair failed to continue higher and began a new decline. The price fell below the $0.1200 and $0.1150 levels. The decline accelerated below $0.1120. A low has formed near $0.1070 and the price is currently consolidating its decline. It managed to reclaim a few points above the 23.6% Fib retracement level of the downward movement from the $0.1260 Fluctuation high to the $0.1070 low. However, the bears protected the $0.1165 level and drove the price down. A key bullish trend line was broken on the 4-hour chart with support near $0.1152. XLM is currently trading below $0.1165 and the 55-hour simple MA (4-hour). The immediate resistance is located near $0.1165. It is close to the 50% Fib retracement level of the downward movement from the $0.1260 Fluctuation high to the $0.1070 low. The next key resistance is near the $0.1190 level. A clear upside break above the $0.1190 area could push the price towards $0.1220. Any further upside could lead to an increase to the $0.1265 level. If not, the price may continue to fall. Initial support to the downside is located near $0.1120. The next major support level is $0.1088. Any more losses could cause the price to rise to the $0.1050 level in the short term, below which the price could even test $0.0950. The chart shows that the XLM price is currently trading below $0.1160 and the 55 simple MA (4-hour). Overall, if the $0.1165 resistance level is breached, the price could start a new round of gains. Technical Indicators 4-hour MACD – The MACD of XLM/USD is gaining momentum in the bearish zone. 4-hour RSI – The RSI of XLM/USD is currently below the 50 level. Key support levels – $0.1120 and $0.1050. Key resistance levels – $0.1165, $0.1190, and $0.1220. (Source: Aayush Jindal)

According to the news of IT House on December 25, Google Research recently issued an article introducing the application results of a "traffic diversion" AI model created by Open Source simulation software SUMO. It is reported that Google researchers used SUMO software to build a basic model of the T-Mobile Park and Lumen Field areas in Seattle, and used the information provided by Google Maps such as "congestion volume", "traffic light location", and "average road speed" to draw a complete heat map. After that, the research team divided the heat map into different areas and introduced a "user behavior model" and route suggestions provided by the Seattle Police Department to build a "traffic diversion" model that assigns the best route to car owners. Google researchers, in collaboration with the Seattle Department of Transportation, applied the AI model to a number of large-scale events in August and November 2023, reducing congestion time by an average of 7 minutes and improving traffic efficiency by 30% with a "dynamic guidance display."