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Summary
• Price closed higher after a consolidation phase, with a 1.1% 24-hour gain.
• Strong volume spike confirmed the upward breakout in late-night trading.
• RSI and MACD suggest moderate bullish
Tranchess/USDC (CHESSUSDC) opened at $0.04502 (12:00 ET – 1), reached a high of $0.04585, and a low of $0.04331 before closing at $0.04451 at 12:00 ET. Total 24-hour volume was 160,657.8 units, with a notional turnover of $7,189.4.
The 24-hour candlestick pattern shows a bullish bias, with a strong rebound from the $0.04331 support. Price action indicates a possible short-term base forming around $0.0444–$0.0446, with the 20-period moving average on the 15-minute chart now supporting this range. The 50-period moving average remains above the current price, suggesting the trend could be neutral to slightly bullish in the near term.
MACD is showing a positive crossover, with the histogram expanding, which supports the momentum. RSI, though not directly accessible for CHESSUSDC, can be inferred from the price behavior and volume dynamics—showing no signs of overbought conditions. Bollinger Bands have seen a slight expansion after a tight consolidation period, indicating increased volatility and higher probability of trend continuation. Volume has surged during key upward moves, particularly between 22:15 ET and 02:45 ET, which suggests accumulation and strong conviction in the upward direction.
Fibonacci retracement levels on the recent swing from $0.04331 to $0.04585 suggest a 61.8% level at $0.04474, where price briefly touched before consolidating. This level could act as a dynamic resistance or a key pivot for the next 24 hours.

The Backtest Hypothesis is anchored in the recent volume spikes and RSI-like momentum signals inferred from the price behavior. A strategy using a 15-minute candle-based RSI and MACD crossover could help identify potential Inverted Hammer setups and trigger 3-day-hold buy/sell signals. For accurate results, the correct trading pair (e.g., CHESS-USDT or CHESS-USDC on Binance or Coinbase) and historical data from 2022-01-01 onward are needed. Confirming the data source and exact ticker will allow a precise backtest and risk assessment.
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