# Active Trader > Any trader enrolled in the Discentra coaching cohort during the billing period, regardless of whether a call was triggered. ## AI Snippet What is an active trader in Discentra's framework? An active trader is any trader enrolled in the coaching cohort during the billing period, regardless of whether a call was triggered that month. This enrollment-based definition is broader than an activity-based one, which counts only traders who placed a trade within a given window. The distinction matters because an enrolled trader stays covered between sessions: the trigger rules run from their first trade back, against the limits the firm set for them, with no re-enrollment step. ## What Active Trader is In Discentra's framework, an active trader is any trader enrolled in the coaching cohort during the billing period, regardless of whether a call was triggered that month. This definition is broader than an activity-based one, which counts only traders who placed a trade within a given window. The distinction is not bookkeeping. It shapes the entire product philosophy. An activity-based definition counts a trader as active on a threshold: a trade in the last 30 days, a login in the last 14 days, an open position right now. Definitions like this work for billing infrastructure and for retention dashboards that count revenue-generating users. They do not work for behavioural coaching. Discentra keeps a trader enrolled between sessions, so the trigger rules run from the first trade after a gap, against the limits the firm set for that trader. Consider a trader who goes quiet for two weeks after a losing session and then re-enters the market with an aggressive position. An activity-based definition would treat the gap as inactivity and the return as a fresh starting state. An oversized first trade back is caught the same way as any other: the position-size rule checks it against the limit the firm set for that trader. Continuous enrollment means the coaching layer is present from the first trade back, not after a re-enrollment process or a manual flag. Enrollment-based monitoring does not wait for an activity threshold: an enrolled trader's events are checked from the first trade. The checks are the engine's trigger rules, such as a re-entry within a minute of a loss at a larger size, five or more trades in fifteen minutes, five losses in a row, and a position above the size limit the firm set. None of them needs the trader to have logged in recently; they need the trader to be in the cohort. Definitions of active trader vary by context. Brokers use activity thresholds for revenue reporting and dashboard counts. Prop firms use them for funded-account tracking. None of these definitions were designed for behavioural intervention; they exist for financial or operational reporting. Treating any of them as a coaching-layer enrollment definition imports the wrong assumptions and creates gaps where the behavioural model should be live. The enrollment-based definition also simplifies commercial terms. Institutions know their cohort the moment they enroll a group of traders. The definition leaves nothing to dispute about whether a trader "counted" in a given month: the trader is in the cohort or they are not, which gives a procurement team a predictable cost for budget approval. The re-engagement scenario shows the value gap concretely. A trader who steps away after a loss stays in the cohort, so the trigger rules apply from their first trade back, with no re-enrollment step. If the returning trader opens with a position above the size limit the firm set for them, the position-size rule flags it and the coaching layer is built to reach the trader inside the window we design for, about four minutes between a trigger and the next trade. An activity count that waits for further trades would register the trader only after those trades had been placed. The active trader definition reflects a product choice: Discentra is built as a continuous layer, not an on-demand service. Coaching, not financial advice. ## Why it matters for institutions The enrollment-based definition is more than a billing convention. It encodes the product thesis that behavioural intervention requires continuous presence. Our design aim is that a trader meets coaching as support that is always there, not as a penalty that appears only after a trigger. For institutions, the metric that matters is retention rate, not call count. A month with fewer calls is not a month with less value. It can mean fewer triggers, and a firm can check in its own data whether trigger frequency in the enrolled cohort falls over the months of a pilot. Calls are the visible output; the continuous-monitoring presence is the load-bearing input. The active trader count is what scales the value of the coaching layer, not the call volume. Where a firm's dashboard flags a trader only when activity crosses a threshold, the flag comes after the trades that crossed it. The enrollment-based model is built to close that gap: the trader stays in the cohort through quiet periods, so the trigger rules apply from the first trade after a break. A firm can check in its own data how often the session that ends a funded account follows an inactive stretch; an activity-based count treats the return as a fresh start. The retention economics are sharp. A retained trader keeps adding lifetime value; a churned trader represents a sunk acquisition cost. If an intervention stops a tilt cascade that would have ended a funded account, the firm keeps a customer instead of paying to replace one. Enrollment-based coaching is built around the trader's full lifecycle, not the moments when an alarm fires. ## Frequently asked questions ### What is an active trader? In general use, an active trader is one who trades frequently rather than buying and holding. In Discentra's coaching model the term is broader: any trader enrolled in the coaching cohort during the billing period, monitored continuously, regardless of whether a call was triggered that month. Because the trader stays enrolled between sessions, the trigger rules apply from the first trade after a break, not only once an activity count picks them up. ### Is an active trader the same as a day trader or a broker's "Active Trader" platform tier? No. Day trading describes a trading frequency, and several brokers sell a premium "Active Trader" platform tier. Discentra's active trader is a coaching-cohort enrollment definition, not a trading style or a software product. It exists to scope behavioural monitoring and commercial terms, not to describe how often someone trades. ### How is Discentra's active-trader definition different from an activity-based one? An activity-based definition counts a trader as active on a threshold: a trade in the last 30 days, a login in the last 14, an open position now. That suits billing and revenue dashboards, but it treats a trader's return after a gap as a fresh start. Discentra's enrollment-based definition keeps the coaching layer live from the first trade back, so a trader who goes quiet after a loss and returns with an oversized position is still covered. ### How do active traders relate to trader retention? The active trader count is what scales the value of the coaching layer, not the number of calls placed. A month with fewer calls can mean fewer triggers, and a firm can check in its own data whether trigger frequency in the enrolled cohort falls over a pilot. Retention rate, not call volume, is the measure to watch. ## Related terms - [Churn](https://discentra.ai/glossary/churn) - [Trader Retention](https://discentra.ai/glossary/trader-retention) - [Behavioural Trigger](https://discentra.ai/glossary/behavioural-trigger) - [Tilt](https://discentra.ai/glossary/tilt) - [Revenge Trading](https://discentra.ai/glossary/revenge-trading) - [Intervention Window](https://discentra.ai/glossary/intervention-window) ## Further reading - [Discentra for Prop Firms](https://discentra.ai/prop-firms) - [Discentra for Brokers](https://discentra.ai/brokers) - [Discentra for Exchanges](https://discentra.ai/exchanges) - [The Real Cost of Trader Churn](https://discentra.ai/blog/the-real-cost-of-trader-churn) - [5 Metrics to Watch Before a Trader Churns](https://discentra.ai/blog/five-metrics-that-predict-churn) - [How Discentra Works](https://discentra.ai/how-it-works) --- This is a Markdown mirror of [https://discentra.ai/glossary/active-trader](https://discentra.ai/glossary/active-trader). Provided for LLM citation. © Discentra Ltd. Coaching, not financial advice.