Fintally is an AI-powered data-analysis and decision-optimisation platform for day traders and systematic desks. It analyses large volumes of market data in real time, calibrates risk, and executes without per-trade fees — so rebalancing logic is driven by signal, not cost.
Fintally combines real-time data ingestion, predictive modelling and automated risk calibration in one disciplined workspace. It does not place bets on your behalf. It structures the decision — entry context, exposure limits and exit logic — and leaves control with you.
Because execution carries no commission, high-frequency adjustments recommended by the models can be applied without eroding the edge they are designed to capture.
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For systematic strategies, commission is not a minor cost. It compounds with frequency. When models recommend fourteen measured adjustments in a session, a per-trade charge taxes discipline itself. Fintally removes that friction: zero fees on all trades, so you keep 100% of your realised profits before tax.
Cost transparency: Fintally is a SaaS platform monetised through software tiers, not trade volume. We do not take a spread mark-up or a share of profits. Exchange and regulatory charges, where applicable, are passed through at cost and itemised. Illustrative figures above use a variable commission to show structure, not a specific competitor price.
No opaque scores. Each stage exposes its inputs, thresholds and routing logic so technically literate traders can audit behaviour and intervene when judgement requires it.
Consolidates order-book depth, price action, volatility surfaces and scheduled macro releases into a normalised stream.
Regime-detection models classify trend, range and stress conditions and estimate confidence intervals for each instrument.
Position sizing, exposure caps and intraday drawdown limits are applied before any order is considered valid.
Validated orders route directly without commission calculation, preserving the expected value of small, frequent adjustments.
Each module is independently configurable and logs its reasoning. Designed for traders who want evidence, not automation theatre.
Identifies whether conditions favour momentum, mean-reversion or standing aside, with explicit confidence levels.
| Input | Output |
|---|---|
| Volatility, breadth, flow | Regime + probability band |
| Macro calendar | Event-risk flag |
Monitors correlation breaks and intraday stress, proposing exposure reduction before limits are breached.
| Input | Output |
|---|---|
| Drawdown trajectory | Trim / hedge suggestion |
| Cross-asset stress | Portfolio heat metric |
Translates approved signals into limit and market orders with slippage controls. Zero commission keeps small edges viable.
| Input | Output |
|---|---|
| Approved signal + size | Routed order + fill record |
| Liquidity check | Defer / split instruction |
Decomposes performance by signal, timing and fee avoidance, so you can see what worked and why.
| Input | Output |
|---|---|
| Fills + market replay | Signal vs noise breakdown |
| Fee ledger | Commission saved (£0) |
Three concrete patterns observed in active intraday workflows. Each uses the same pipeline, configured for a different objective.
All scenarios assume user-defined risk limits remain in force and manual override is available at every step.
Compare Economic ImpactA day trader tracks FTSE constituents through earnings-driven dispersion. Regime detection flags trend exhaustion; risk calibration sizes a reduced position; execution routes without commission, making a short-hold adjustment economically rational.
A small systematic desk maintains target exposures across UK equities and GBP pairs. When correlation spikes, the platform proposes trims to restore balance — frequent, small trades that would be uneconomic under per-trade billing.
A quantitative retail trader runs a momentum filter generating dozens of candidates daily. Predictive inference discards low-confidence setups, leaving a smaller set for zero-fee execution and clean post-trade review.
Direct answers on economics, latency, control and compliance. If a claim cannot be stated plainly, it should not inform capital decisions.
Fintally charges for software access via platform tiers, not for order flow. Execution itself carries no commission because our revenue does not depend on your trade volume. This aligns incentives: we optimise for analytical quality, not churn. Any third-party exchange or regulatory charges are shown separately at cost.
Market data is ingested from multiple trading venues and normalised with refresh rates from 100ms depending on instrument and feed. Corporate actions are adjusted, gaps are flagged rather than interpolated, and each inference is timestamped. Latency figures are shown in the workspace log so you can assess suitability for your holding period.
Yes. Automation proposes; you dispose. You can pause inference, tighten drawdown limits, reduce position caps, or require manual approval per order. A hard intraday halt triggers by default if drawdown exceeds your threshold, and all overrides are recorded in the audit trail.
The platform provides API access for signal export, risk metrics and fill history, allowing connection to existing systematic workflows and compliant UK brokerage accounts. Documentation details authentication, rate limits and order-state reconciliation. No action is taken on external accounts without explicit authorisation.
Data is encrypted in transit and at rest, with role-based access and regional hosting controls appropriate for financial data. We follow UK data protection standards, maintain audit logs for all analytical and execution events, and publish a responsible risk disclosure: predictive analytics optimise decision frameworks, but capital remains at risk.
Deployment is procedural, not promotional. Connect data feeds, set risk thresholds, review paper-signal behaviour, then enable zero-fee live routing when parameters reflect your mandate.
010203Software-tier pricing applies. No commission on trades. No share of profits. Cancel per tier terms.
Initialise Workspace Inspect DocumentationRisk warning: Trading involves risk to capital. Predictive analytics and AI models analyse historical and real-time data to support decisions; they do not predict future performance or guarantee profits. Past behaviour does not indicate future results. Consider whether you understand the risks and seek independent advice where appropriate.