Stratix applies AI-driven drawdown protection and real-time data synthesis to the specific demands of day trading, replacing manual stop-loss guesswork with a model that recalculates risk as conditions change.
The logic behind Stratix follows a fixed sequence. Each stage depends on the output of the one before it, which keeps the model auditable rather than a black box.
Order book depth, volatility surfaces, and execution data are pulled from connected venues on a continuous basis, rather than sampled at fixed intervals.
The model estimates probabilistic thresholds for adverse price movement, updating its forecast as new ticks arrive rather than relying on a static lookback window.
Thresholds are checked against the account's configured risk tolerance, producing a dynamic risk mitigation range specific to the position size and instrument.
When the aligned threshold is breached, the exit order is sent without manual confirmation, removing the delay introduced by discretionary decision-making.
A trailing stop reacts to price after it moves. Stratix forecasts the likelihood of a move before it completes, and adjusts exposure accordingly.
Signal generation and order routing are handled within the same processing pipeline, reducing the number of handoffs between detection and action.
Model output is continuously compared against realised outcomes, and the comparison is logged so performance can be reviewed rather than assumed.
Exit levels are recalculated from current volatility and liquidity conditions, instead of being fixed as a flat percentage or point distance from entry.
Unmanaged volatility forces a trader to reassess exposure manually, under time pressure, often after a position has already moved against them. Stratix shifts that assessment to a continuous background process, so the decision has already been modelled before the market requires a response.
These are illustrative scenarios describing the logic the platform applies, not records of past performance or guaranteed outcomes.
When order book depth thins sharply within a short window, the model widens its probabilistic threshold ahead of a potential gap, favouring an earlier exit over waiting for a fixed stop level to be touched.
Ahead of a scheduled earnings release, implied volatility typically rises before the event itself. Stratix factors this into the risk-parameter alignment stage, tightening exposure before the announcement rather than after the price reaction.
When multiple positions in a correlated sector begin moving together, the model treats this as a single combined exposure for threshold purposes, rather than evaluating each position in isolation.
Stratix is built for traders who want a systematic, auditable approach to drawdown protection. Request access to review the API, or read the documentation first.
