Quantifiable precision for every trading decision
Meteor Profit pairs backtested historical data with real-time decision support, so entries, exits and position sizing are grounded in verified probability rather than sentiment.
Meteor Profit pairs backtested historical data with real-time decision support, so entries, exits and position sizing are grounded in verified probability rather than sentiment.
Each function addresses a distinct problem a day trader encounters: timing, capital protection and market pace. None of it depends on prediction alone.
The models are trained on years of price, volume and volatility data across multiple instruments, then tested against out-of-sample periods before any signal reaches the dashboard. In practice, this narrows the window between recognising an opportunity and acting on it, without relying on lagging indicators alone.
Every recommendation carries a calculated exposure boundary derived from historical drawdown patterns for that instrument and timeframe. The aim is straightforward: keep losing trades small and consistent, so a run of them does not erode capital disproportionately.
The underlying infrastructure processes incoming market data continuously, recalculating probability estimates as conditions shift intraday. It is built to hold up under volume spikes and volatility events, not just in calm, low-noise sessions.
The Cedar Gainstead methodology is built around a repeatable process, not a single black-box model. Every recommendation can be traced back to a documented historical test.
Historical price, order-flow and macro datasets are sourced from licensed market data providers and reconciled against a secondary feed to flag discrepancies before use.
Candidate rules are defined explicitly, with entry, exit and sizing logic stated in advance, so results cannot be adjusted retroactively to fit an outcome.
Strategies are tested on data withheld from the original formulation period, across multiple market regimes, to check for consistency rather than a single favourable run.
Live performance is compared against the backtested expectation on a rolling basis. Strategies that drift beyond an agreed tolerance are flagged for review.
Illustrative schematic of a rolling backtest window. Actual strategy reports are provided in full within the platform.
Meteor Profit was assembled around a simple constraint: no recommendation reaches a client dashboard until it has survived a documented backtest against historical data. This slows down how quickly new strategies can be added, but it keeps the system's output tied to evidence rather than to the latest market narrative.
The team maintains version records for every strategy in production, along with the dataset and time window used to validate it. Clients can request the underlying test parameters for any recommendation they act on.
Read more about usThe dashboard is deliberately restrained: no auto-refreshing news ticker, no unnecessary animation. Every panel exists to answer one question at a time — position, exposure, or signal confidence.
Multi-year historical range per strategy
Continuous intraday recalculation
Set per instrument and timeframe
Every signal linked to its source test
The same underlying engine is configured differently depending on the timeframe and objective. Below are three common configurations.
Problem: latency between a market move and a usable signal erodes the edge on short holding periods. Solution: streamed tick-level analysis recalculates probability continuously, so signals reflect current conditions rather than a snapshot from minutes earlier.
Problem: manual review of correlations and drawdown history across a portfolio is slow and easy to defer. Solution: scheduled portfolio-level backtests flag allocation drift and suggest rebalancing points based on historical precedent.
Problem: aggregating exposure across desks and instruments in real time is difficult once volume increases. Solution: the platform consolidates exposure data across accounts and applies the same verified risk thresholds consistently, regardless of book size.