Market Overview for Storj/Tether (STORJUSDT) – 24-Hour Summary as of 2025-11-09

Summary
• Price swung between 0.18 and 0.1839, forming bearish and bullish patterns amid volatile trading.
• RSI and MACD indicators suggest mixed momentum with no clear overbought/oversold bias.
• Notable volume spikes confirmed key support and resistance levels during the early hours.

Storj/Tether (STORJUSDT) opened at 0.1805 on 2025-11-08 at 12:00 ET and closed at 0.1769 by 2025-11-09 at 12:00 ET, swinging between a high of 0.1839 and a low of 0.17. Total volume across the 24-hour window was 9,059,435.0, and with average pricing of 0.1793, notional turnover reached approximately 1,624.8 USD. The pair displayed a range-bound structure, with multiple candlestick patterns indicating indecision and reversal possibilities.

The 15-minute chart showed key support levels at 0.18 and 0.175, both of which were tested and partially confirmed. Notable candlestick patterns included a bearish engulfing pattern around 0.181 and a bullish engulfing at 0.1761. These patterns suggest potential turning points, though follow-through has been mixed.

MACD remained in a neutral range, with no clear divergence from price, while RSI oscillated between 40 and 60, indicating balanced buying and selling pressure. Bollinger Bands showed moderate expansion in the late hours of 2025-11-08, suggesting increasing volatility, but price settled closer to the mid-band by the close of the 24-hour period. The 20-period and 50-period moving averages on the 15-minute chart intersected twice, reinforcing the sideways trend.

Fibonacci retracement levels at 0.1786 and 0.1814 were tested multiple times, with the 0.1786 level acting as a temporary floor. Volume spiked during the critical 0.181 to 0.1834 range, reinforcing the significance of the price action. Notional turnover, when analyzed alongside volume, showed strong confirmation at key resistance levels but weaker signals at support.

Backtest Hypothesis

To build a robust backtest for STORJUSDT, we require accurate RSI and MACD data. These indicators are essential for identifying overbought conditions (RSI ≥ 70) and divergences (MACD forming peaks while price continues higher). Once the correct exchange and symbol format are confirmed—such as BINANCE:STORJUSDT or COINBASE:STORJUSD—data retrieval can proceed. Alternatively, if you have historical RSI and MACD data in CSV or JSON format, or can provide specific dates where these conditions were met, the backtest can be executed immediately. The strategy will then evaluate entry and exit signals, assess risk metrics, and generate performance insights for the period of interest.