Strategy Backtesting
This section explores the historical efficacy of four unique trading strategies, each designed to cater to diverse investor profiles in the financial markets. These include the Degen Strategy, Aggressive Strategy, Growth Strategy, and Conservative Strategy. Created with precision and subjected to thorough backtesting, these strategies are analyzed to gauge their impact on portfolio growth across different market scenarios. Our objective is to offer a comprehensive and precise evaluation of the performance of each strategy, utilizing a solid backtesting approach to ensure the findings' accuracy and dependability. This examination offers crucial insights for investors and traders, helping them to choose a strategy that best matches their risk tolerance, investment objectives, and view of the market.
Portfolio Summary
Total Value of Assets Tested: $100 million
Investment Concentration: Focused on the cryptocurrency market, with an emphasis on major coins and leading alternative coins by market capitalization
Top Holdings: BTC, ETH, USDT, SOL, DOGE, etc.
*Note: Holdings are subject to change.
Investment Strategy and Market Commentary
Despite the fluctuating market, selecting cryptocurrencies with significant growth potential has led to performances that surpass the broader market. Our strategy will continue to adapt in response to market fluctuations, seeking out new investment opportunities.
12 SMA Trend
51%
High
Growth Strategy
Monthly
TAOTOROTEST
+3085%
74.72%
Overbought Momentum
43%
Medium
Aggressive Strategy
Daily
TAOTOROTEST
+2245%
30.23%
Kelner Breakout
54%
High
Degen Strategy
Daily
TAOTOROTEST
+2376%
72.33%
Relative Volume
57%
High
Conservative Strategy
Monthly
TAOTOROTEST
+69%
8.70%
Average Annual Return
12 SMA Trend
+344%
+759%
+522%
-
Overbought Momentum
+897%
+122%
-
-
Kelner Breakout
+523%
+713%
-
-
Relative Volume
+48%
+62%
+83%
-
Portfolio Growth
Disclaimer: Results from backtesting, hypothetical or simulated analyses have limitations. Such outcomes are achieved by retrospectively applying a backtested model, which is designed with hindsight. The difference in backtested performance and actual account performance arises because the investment strategy may be modified at any time for any reason, with changes continuing until achieving the desired or improved performance outcomes. Different modeling techniques or assumptions could yield vastly different results and may be more suitable. Past hypothetical backtest results do not predict future returns. Actual results will differ from those analyzed. Past performance should not be viewed as an indicator or guarantee of future results, and no assertion or guarantee, whether expressed or implied, is made concerning future performance.
In summary, our backtesting report showcases promising results for the AI-trained strategy, presenting a thorough examination of four trading strategies with varying levels of risk and reward. From the adventurous Degen Strategy to the cautious Conservative Strategy, our analysis lays the groundwork for informed decision-making. By reviewing historical performances, we aim to provide investors with the tools needed to align with their financial goals and market perspectives. As the market changes, our strategies must also evolve, highlighting the necessity for ongoing analysis and adjustments to achieve long-term success.
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