Adaptive Momentum is a quantitative model designed to analyze market trends in Bitcoin and Ethereum. It uses a rules-based methodology to generate daily signals based on its interpretation of market volatility and momentum.
Overview*
- Type:
- Momentum
- Asset class:
- Crypto Futures
- Instruments:
- Ethereum, Bitcoin, USDT
- Frequency:
- Daily
Disclosure: Quantitative models and AI are informational tools, not predictors of future results. All trading involves risk. Learn More.
Model Summary
Adaptive Momentum is a quantitative model designed to analyze trends in the Bitcoin and Ethereum futures markets. The system's methodology involves monitoring market volatility to differentiate between its interpretation of long-term and short-term trends, which informs the daily signals it generates for both long and short positions.
Design Objective and Methodology
The model's design objective is to provide a rules-based framework for analyzing market momentum. Its methodology includes:
- Analyzing market data to generate signals for simulated long positions during perceived uptrends.
- Generating signals for simulated short positions during perceived downtrends.
- Issuing neutral signals (simulated allocation to USDT) when its analysis does not indicate a clear trend.
- Incorporating a daily, rules-based process for adjusting simulated risk parameters based on historical volatility.
Model Insights
The Adaptive Momentum model provides daily informational signals based on its quantitative analysis. These outputs are intended for research and to help users inform their own systematic trading decisions. The signals do not constitute investment advice or a guarantee of any future performance.
See in Action
SYGNAL strategies can be traded—and live performance viewed—via our partners. Performance metrics and trading occur on independent partner platforms under their own regulatory frameworks. SYGNAL may receive compensation from these partners. Learn More.
ZIGNALY: Live Track Record
The following performance data are reported directly by Zignaly via public API. SYGNAL does not calculate, modify, or independently verify these figures. Trading, custody, and regulatory oversight occur on the partner platform. SYGNAL may receive compensation from the partner. Past performance does not guarantee future results. Learn More.
Strategy Performance
| All | 1Y | 6M | 3M | 1M | 7D |
|---|---|---|---|---|---|
Live on ZIGNALY since:
Monthly Performance Breakdown
BOTS: Live Track Record
The following performance data are reported directly by comparison.poggers.win. Sanostro does not calculate, modify, or independently verify these figures. Trading, custody, and regulatory oversight occur on the BOTS platform. SYGNAL does not manage these accounts and may receive compensation from the partner. Past performance does not guarantee future results. Learn More.
Strategy Performance
| All | 1Y | 6M | 3M | 1M | 7D | 1D |
|---|---|---|---|---|---|---|
Monthly Performance Breakdown
Track Record Audit
| Instrument | Signal Model | Status | View Trail |
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The Track Record Audit offers a meticulous verification of each signal generated by the strategy, focusing on the signal's value at the time of issuance. This detailed audit reflects our dedication to transparency and accuracy, providing our users with a clear view of the strategy's operational integrity. By examining the real-time value of each signal, investors gain a deeper understanding of the strategy's responsiveness to market conditions, empowering them to make well-informed decisions grounded in precise, signal-based insights.
The audit process meticulously tracks the issuance of each signal, capturing its value at the precise moment of generation. This rigorous approach not only ensures the authenticity and reliability of the data but also showcases our strategy's performance in real-time market scenarios. Furthermore, to guarantee the utmost integrity and immutability of the audit trail, all records are securely stored on the Ethereum blockchain. This blockchain integration not only enhances the audit's credibility but also provides a tamper-proof ledger, allowing investors to verify the historical accuracy and consistency of our signals with unparalleled confidence.
WHAT YOU NEED TO KNOW ABOUT THE SIGNALS
Our signals ("the Signals") are based on mathematical or statistical models, which academics and practitioners use in the context of financial markets. For instance, they give an indication for a certain trend, a relative valuation or a price pattern. Our Signals are typically sourced from leading practitioners like professional quantitative research firms. Before accepting a Signal to the platform, we analyse the quality and characteristics of the historic signal time series and assess the quality of the person, team or firm supplying the Signals. Despite our best efforts, we can give no guarantee as to the future quality of the Signals and the providers of the Signals (Signal Managers). Signals, which might have been value adding in the past, might not be value adding in the future, due to a changing market structure, changing market inefficiencies, changes in the model methodology and many other reasons.
A Signal must therefore NEVER be used as the sole input or trigger for a trading decision. It can only be regarded as one of many input factors in making your own investment decision.
You should therefore treat a Signal similar to Price / Earnings information of a stock: It can be a helpful information to evaluate the attractiveness of a stock or another financial instrument, but it is only one piece of information. You will need additional information before you can make a sound investment decision.
SYGNAL therefore excludes all liability related to the Signals or any other services provided by us or any related party. Any use of the Signals, in whatever context or way, will be at your sole responsibility and YOUR COMPLETE OWN RISK.
You must fully understand and accept these terms before using our services.
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