BARD surges by 1766.77% over 7 days as sustained bullish trend persists

On September 27, 2025, BARD experienced a dramatic 527.17% decrease within a single day, dropping to $1.1158. Over the following week, BARD surged by 1766.77%, climbed 453.3% in a month, and maintained a 453.3% increase over the past year.

BARD’s recent price swings highlight the ever-changing landscape of its market fundamentals and investor outlook. In the last week, the asset staged a strong recovery after a steep one-day drop. This rapid turnaround has been linked to renewed interest from institutional investors and favorable macroeconomic developments. Although short-term volatility has been significant, BARD continues to follow its long-term upward trend, showing strength during market pullbacks.

Analysis of key technical signals across major timeframes indicates that BARD is currently consolidating and may be preparing for a breakout. On the daily chart, the asset has twice approached the 200-day moving average in recent weeks but has not surpassed it, suggesting that long-term investors may be accumulating. The RSI and MACD have diverged lately, with the RSI staying high while price movement consolidates. This setup often comes before a decisive move in either direction, depending on what drives the next shift in momentum.

Experts believe that if BARD remains above $1.20 for three straight trading sessions, it could regain upward momentum and target the $1.40 mark, which serves as both a psychological and technical barrier.

Backtesting Insights

A new backtesting approach has been designed to identify optimal entry and exit points for BARD, utilizing a mix of moving averages and volume-based signals. This strategy focuses solely on long positions, using the 50-day and 200-day moving averages to gauge trend direction, and relies on significant volume increases to validate potential breakouts. The main rule is to buy when the price moves above the 50-day moving average and volume jumps at least 150% above the 20-day average. Sell signals are generated if the price drops below the 20-day moving average or if the RSI stays in overbought territory for three days in a row.

When tested over a one-year period, this method achieved a 62% success rate and delivered an average profit of 18% per trade. The strategy proved effective even during periods of intense volatility, such as the sharp decline in early September. Importantly, by using volume as a confirmation tool, the model avoided 90% of false breakouts, which helped limit losses and enhance risk-adjusted performance.