ALGO / USDT1d

ALGO EMA Cross (9/21) Strategy (1d) - Backtest Results

Price Action & Trades

ALGO / 1d

Recent Trade History (Live Proof)

Entry DateJan 4, 00:00
Exit DateJan 20, 00:00
TypeLong
Entry Price$0.1354
Exit Price$0.1162
PnL-14.18%
Entry DateAug 23, 00:00
Exit DateAug 27, 00:00
TypeLong
Entry Price$0.2641
Exit Price$0.2475
PnL-6.29%
Entry DateAug 8, 00:00
Exit DateAug 19, 00:00
TypeLong
Entry Price$0.2662
Exit Price$0.2379
PnL-10.63%
Entry DateJul 9, 00:00
Exit DateAug 2, 00:00
TypeLong
Entry Price$0.1922
Exit Price$0.2341
PnL+21.8%
Entry DateApr 18, 00:00
Exit DateMay 28, 00:00
TypeLong
Entry Price$0.1894
Exit Price$0.2175
PnL+14.84%

Equity Curve

$-4.68
2025-04-112025-05-282025-07-142025-08-302025-10-152025-11-292026-01-27$0k$0.5k$1k$1.5k$2k

AI Deep AnalysisPowered by algorithmic insights

Performance Assessment

The 40% accuracy warns of extended losing streaks. Psychological preparation is essential for this ALGO setup.

Risk-Reward Profile

Low profit factor (1.09) indicates potential parameter optimization is needed for ALGO.

Signal Frequency

The small sample (5 trades) means results should be interpreted with caution.

Position Sizing

Anti-martingale approach recommended: increase size after wins, reduce after losses.

Market Context

ALGO liquidity levels support clean EMA Cross (9/21) execution without significant slippage impact.

Volatility Analysis

The algorithm capitalizes on ALGO's characteristic volatility patterns on the 1d timeframe.

Analysis based on 5 trades
Review Recommended

Performance Metrics

Win Rate
40%
Profit Factor
1.09
Total Trades
5
Data Period
All History

About The EMA Cross (9/21) Strategy

ALGO EMA Cross (9/21) strategy on 1d charts. Early backtest data available for review.

Backtest Methodology

Our methodology for ALGO evolves with market structure changes. The 40% success rate across 5 trades on 1d charts reflects our latest testing protocols, updated to account for current volatility regimes and liquidity conditions.

Key Takeaways

  • 1d balances signal quality vs frequency.
  • Shorter timeframes may increase noise.
  • Higher timeframes confirm trend direction.

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