Perennial Surge is a quantitative hybrid strategy for the crypto spot market. It is designed to combine signals for longer-term position-taking with signals for shorter-term, mean-reversion analysis, generating hourly informational outputs.
Overview*
- Type:
- Trend following, Mean-reversion
- Asset class:
- Crypto Spot
- Instruments:
- ADA, ATOM, AVAX, BCH, BNB, BTC, DOT, ETC, ETH, FIL, ICP, INJ, LINK, LTC, MATIC, NEAR, SOL, TRX, UNI, XLM, XRP
- Frequency:
- Hourly
Disclosure: Quantitative models and AI are informational tools, not predictors of future results. All trading involves risk. Learn More.
Model Summary
Perennial Surge is a quantitative model for the crypto spot market that generates signals based on a hybrid methodology. It is designed to analyze market data using two distinct approaches: a trend-following component for longer-term analysis and a mean-reversion component for shorter-term analysis.
Design Objective and Methodology
The model's design utilizes a dual-strategy framework for generating signals:
- Trend-Following Component: Generates signals for simulated long positions in high-liquidity cryptocurrencies, based on its analysis of broader market trends.
- Mean-Reversion Component: Generates signals based on its analysis of assets that have experienced recent downturns relative to the market.
The model's design includes hourly rebalancing logic that, in historical simulations, adjusts the allocation between these two signal types based on real-time market data. This provides a rules-based framework for analysis.
Model Insights
The Perennial Surge model is designed to provide informational signals that reflect both long-term trend and short-term reversion perspectives. These outputs are intended for research and to help users inform their own systematic trading decisions, not as direct advice or a guarantee of any performance outcome.
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. SYGNAL does not calculate, modify, or independently verify these figures. Trading, custody, and regulatory oversight occur on the partner 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 |
|---|---|---|---|---|---|
Live on ZIGNALY since:
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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