📊 Perfect conclusion of April's quantitative trading | Steady performance across multiple assets, continuously outperforming the market

April trading officially comes to an end ✨
This month, the fully automated quantitative robot strategy covered three main sectors: gold, silver, precious metals, crude oil energy, and cryptocurrencies like BTC, strictly adhering to discipline and risk control, delivering a performance far exceeding the benchmark.
📈 Core profit data for this month

1. Total monthly profit and loss: +2293

2. Trading win rate structure: 22 profitable trading days and only 8 losing trading days throughout the month, with profit days accounting for over 73%

3. Extreme value risk control performance

◦ Maximum daily profit: +906.66

◦ Maximum daily loss: -730.87
Profit and loss extremes are controllable, strictly maintaining drawdown limits, avoiding heavy positions and anti-positioning, fully aligned with quantitative model risk control rules

4. Excess return comparison
30-day cumulative profit rate +41.16%
BTC market increase during the same period only +13.53%
The entire month steadily outperformed Bitcoin benchmark by 27.62%
Cross-asset hedging to diversify risk,稳稳 capturing volatility gains in choppy markets, and increasing profits in trending markets
🧾 April strategy review

1. Precious metals + crude oil core mainstay

Crude oil, gold, and silver have clear seasonal logic throughout the year, with grid and swing dual-direction strategies perfectly suited to high-volatility assets
Intraday spread opportunities continue to be realized, whether in range-bound oscillations or trending rises and falls, consistently capturing price differences
This has been the most stable and lowest drawdown foundation this month, supporting the overall account performance

2. Cryptocurrency flexible gains supplement

High volatility in assets like BTC provides excess elasticity opportunities for quantitative strategies
Not betting on single-directional rises or falls, only engaging in volatility arbitrage, maintaining net value even during market corrections, and rebounding strongly to new highs at month-end
Cross-asset hedging to diversify single-asset risk, perfectly avoiding sharp declines and drawdowns
The monthly profit curve steadily rises, with only a brief mid-month correction, then continuing to reach new highs
Relying not on luck but on model discipline, quantitative risk control, and multi-asset rotation to navigate through volatile bull and bear markets
🌙 May outlook: Keep up the good work

April's experience was accumulated, models refined, and risk control details optimized
In May, continue to adhere to the principles of quantitative trading
Deepen core sectors like precious metals and crude oil, optimize crypto strategies with precision
Strictly control single-trade drawdowns, stabilize daily win rate, and extend compound growth cycles
Avoid chasing highs, heavy positions, and emotional trading
Let automated quantitative trading steadily compound profits, achieve continuous growth month after month, and keep generating excess steady returns 📈