The last week graphical analysis of $AITECH showed price congestion beyond an important support level- a trend that it seems most of the @AITECH and #SocialMining members took as a reinforcement of this area of value. A prolonged buildup in such locations tends to happen before firm actions are seen, at least when the mood of the wider market is optimistic.
Technically, the bullish scenario is that the price needs to overcome by first increasing the two adjacent resistance areas in red color and then focus on the higher-orange-marked zone. This would be reaffirming the momentum shift and indicator of line extension. However, (at least as Social Mining devotees tend to insist) external market shocks, or bad news, may still prompt a retest of former supports.
Such participants often express their experience in coping with exposure through approaches such as cost-averaging. Sharing these strategies within the Social Mining ecosystem and recording them passes the responsibility to make the necessary adjustments to not only adapt to changing circumstances but also share the knowledge.
This constant feedback loop in which analysis is being posted, other people are giving a different interpretation, and the community discussing possible outcomes is one of the unique strengths of Social Mining. In this process, it is ensured that the technical charting is dynamic and informed, but not some predictions.
Regardless whether the next move will be upwards or downwards, maintaining a systematic trading plan, supported by technical evidence and strengthened by active communication within a community, is one of the priorities of people that want to contribute primarily with reasoning rather than acting based on emotions.
