Strategies
Last updated
Last updated
The CTA strategy is a unique trading system meticulously developed by the Otrading team. It integrates mathematical models, statistical analysis, and technical indicators as the basis for trading decisions, aiming to generate profits by precisely capturing market price movement trends.
Evaluate strategy performance before investing real funds, thoroughly identifying potential logical flaws in the strategy.
Professional traders can leverage this flexibility to deeply test and customize their own trading systems.
Novice traders can follow the trading patterns of profitable traders using the copy trading feature.
Effectively responds to sharp market fluctuations and unidirectional trends, securing significant profits in high volatility and accumulating gains during low volatility.
Detects trade direction automatically; it quickly corrects incorrect directions and adheres to correct ones until the end.
1. Ideal for long-term holding strategies.
2. For beginner traders, the real-time stop-loss mechanism helps mitigate liquidation risks.
3. Aligns well with the operational style of trend-following traders.
4. Excels in one-sided markets, such as bull and bear markets.
Reference: https://otrading.gitbook.io/guide/cta-strategy
The AI DCA trading strategy is built on the foundation of the DCA (Dollar-Cost Averaging) theory. By dynamically adjusting trading parameters and incorporating specific behavioral patterns, it achieves a delicate balance between risk and reward. Compared to traditional DCA strategies, it offers significantly enhanced adaptability and risk management capabilities.
When AI Mode is enabled, the price interval and take-profit are flexibly adjusted based on market volatility, effectively boosting profits while mitigating risks.
AI Mode can limit position additions to a specific price range, which dynamically adjusts to market conditions. If prices move beyond this range, countertrend positions will either halt further entries or be liquidated directly, resolving the issue of substantial floating losses caused by persistent one-sided trends.
1. Primarily effective in mean-reversion markets, especially for assets with high price elasticity.
2. In well-defined range-bound markets, enabling hedge can achieve double profits.
Reference: https://otrading.gitbook.io/guide/strategies/dca-strategy
The AI Grid Strategy is an original trading strategy developed by Otrading. It overcomes the inherent limitations of traditional grid strategies by tailoring grid ranges specifically to the unique volatility characteristics of individual cryptos. This customization significantly enhances trading efficiency and aligns with the distinct traits of different coins.
The hallmark of this strategy lies in its smart automated adjustment mechanism. Without the need for manual intervention, the grid range automatically adjusts and shifts during significant market movements. Whether in a bull market with sustained upward momentum or a bear market with gradual declines, the strategy reliably captures profits from price fluctuations.
Tailored to the volatility of individual cryptos, significantly improving trading efficiency.
Eliminates the hassle of manually setting grid ranges. The strategy dynamically adjusts and shifts the grid to continue profiting from price movements during major market trends. It also allows preemptive deployment of diverse grid positions based on asset volatility for additional gains.
Effective in range-bound markets, as well as in gradually rising or falling markets.
Fully captures opportunities from even minor price fluctuations.
In well-defined range-bound markets, enabling hedge can achieve double profits.
Reference: https://otrading.gitbook.io/guide/strategies/futures-ai-grid-strategy
The core principle of the Relative Value Strategy lies in leveraging the temporary price discrepancies between two cryptos with correlated price movements or similar attributes. By simultaneously opening long and short positions, traders capture the spread profit when prices revert to their normal relationship.
This strategy is unaffected by the dramatic ups and downs of the crypto market. Instead of predicting overall market direction or price trends, it focuses on the dynamic changes in price differentials between two cryptos.
By holding both long and short positions, the strategy exhibits low correlation with the overall market. For two assets that frequently alternate between converging and diverging states, traders can open two bots: One dedicated to capturing divergence in price spreads, another focused on profiting from convergence patterns.
Best suited for traders with in-depth knowledge of crypto attributes.
Enables low-risk hedging and arbitrage opportunities targeting short-term value imbalances between two assets.
Effectively mitigates the influence of market risks, allowing for long-term arbitrage between two assets with similar attributes.
Reference: https://otrading.gitbook.io/guide/strategies/relative-value-strategy
The Rebalancing Strategy focuses on maintaining predetermined ratios among multiple spot assets. When the value of a position exceeds its "threshold," the excess is sold, and the proceeds are used to purchase underperforming cryptos, bringing the portfolio back to its original allocation.
1. Diversified Investment for Risk Reduction
Compared to holding a single asset, this strategy significantly lowers risk through portfolio diversification.
2. Automatic Balancing
While holding assets, it capitalizes on price fluctuations to accumulate more cryptos over time.
1. Works well in upward trending markets with oscillations.
2. Ideal for Long-Term Holders, tailoring for investors who are less sensitive to short-term changes in portfolio value.
3. Ideal for Coin-Market, preventing issues common in grid strategies, such as selling all assets during price surges, ensuring sustained asset growth.
Reference: https://otrading.gitbook.io/guide/strategies/spot-rebalancing-strategy
