Every module built to remove guesswork from DCA execution
Tervanock combines signal modelling, automated scheduling, and risk-aware reporting into a single workflow. Below is a detailed breakdown of what runs under the hood and why each component exists.
No module requires manual rebalancing once configured.
Four systems, one continuous pipeline
Each feature below feeds the next — from raw data ingestion through to the scheduled action taken on your behalf. Nothing operates in isolation.
Signal Modelling Engine
Historical price series and volatility bands are processed on a rolling basis to produce a directional confidence score. The score is not a prediction of exact price — it is a structured read of current conditions relative to historical norms, updated on every cycle.
| Input window | Rolling multi-period lookback |
| Output | Confidence score, 0–100 |
| Refresh | Continuous, cycle-based |
| Applies to | Configured asset list |
Automated DCA Scheduler
Once a cadence and allocation are set, the scheduler executes contributions without further input. Intervals can be fixed or adjusted within a tolerance band when the signal engine flags unusual conditions, so timing stays systematic rather than reactive.
| Cadence options | Daily, weekly, monthly, custom |
| Adjustment range | User-defined tolerance band |
| Execution log | Full history retained |
| Override | Pause or edit at any time |
Risk Exposure Tracking
Every position is measured against a configurable risk threshold. The tracker does not block action but surfaces when cumulative exposure drifts outside the range you set, so adjustments are deliberate rather than accidental.
| Metric basis | Allocation vs. threshold |
| Alerts | In-dashboard, threshold-based |
| Scope | Per-asset and portfolio-wide |
| Customisable | Yes, per account |
Reporting Dashboard
A single view consolidates execution history, signal history, and current allocation state. Reports are exportable and timestamped, giving a plain audit trail of what ran, when, and under what signal conditions.
| History depth | Full account lifetime |
| Export format | Downloadable report |
| Access | Web dashboard, any device |
| Update frequency | Real-time on execution |
Designed around configuration, not intervention
The platform assumes you will set parameters once and revisit them periodically — not monitor charts daily. Thresholds, cadence, and allocation limits are all adjustable, but nothing requires constant attention to keep running correctly.
This is a deliberate trade-off: less manual control in exchange for consistency. Every module logs its own decisions so the reasoning behind any given execution is always traceable after the fact.
Features are released incrementally and documented in the dashboard changelog as they roll out to accounts.
What each feature is optimised for
A short summary of the practical benefit behind each module, independent of the technical detail above.
No single module is designed to operate as a standalone "signal to buy" tool. The value is in the combination: scheduled action informed by signal context, bounded by risk thresholds, and recorded for review.
Users who want tighter manual control can reduce the tolerance band on the scheduler to near zero, effectively returning to a fixed-cadence DCA with reporting layered on top.