Evranoix Calquenne analyzes market cycles with quantitative models and uses this to determine the entry points for your Dollar Cost Averaging strategy. Designed for professionals who earn in multiple currencies or work from different locations.
探索策略挑战
那些兼职或在繁忙的日程之外进行投资的人往往缺乏时间持续监控市场走势。 The result is postponement, or entry at a time that later turns out to be unfavorable.
Evranoix Calquenne replaces that emotional consideration with a fixed, repeatable process.何时加入的决定不再是在时间压力或疑问下做出的，而是基于持续的数据分析。
手动 DCA 时间表不考虑市场波动性。固定日期有时会导致在修正之前入场，而更有利的时刻仍未被使用。
方法
The system processes real-time market data and recognizes patterns in volatility and price development, without relying on a single indicator.
Based on that analysis, entry points within the DCA scheme are adjusted, aimed at reducing average purchase costs over time.
执行是完全根据既定参数自动进行的，因此人为的犹豫对结果没有影响。
For fintech and investment professionals
The models look beyond simple trend lines and take into account multiple market variables at the same time, which increases the reliability of entry advice.
分散的入场点和仓位限制了短期波动对整个投资组合的影响。
The approach continues to work consistently as a portfolio grows, without making the decision-making process more complex for the user.
方法论
Evranoix Calquenne bases entry advice on quantitative analysis of historical and current market data.该模型不断针对新数据进行测试，因此建议是根据当前情况而不是固定规则量身定制的。
决策是数据驱动的：切入点的每一次调整都可以追溯到可衡量的市场变量，而不是直觉。
实际应用
A location-independent professional receives income in different currencies and wants to maintain purchasing power against inflation, without monitoring the market daily.
With a fixed, automated DCA schedule, capital is built up at times that the model assesses as favorable, regardless of your own location or working hours.
A small entrepreneur with fluctuating cash flows wants to generate a return on excess working capital without having to actively manage the market in addition to daily business operations.
自动执行可确保根据预设的风险限制定期、系统地部署可用资源。