Feed status: Nominal · Connectors synced

Unified market intelligence across every exchange you trade on.

Fastvanny consolidates order books, ticker feeds and historical data from your connected exchanges into a single, latency-aware dashboard, then applies heuristic scoring to flag statistically notable setups before they expire.

The terminal view arranges each connected exchange as its own column, showing bid/ask spread, rolling volume and a heuristic confidence band, refreshed independently of any single exchange's rate limits.

Data layer

One data layer, every exchange you use.

Fragmented data is the default state of multi-exchange trading. Fastvanny's ingestion layer is API-first: it authenticates against each connected account, normalises the response shape, and writes it into a common schema so that a position on one venue can be compared directly against a quote on another.

Exchange APIs → Normalisation layer → Time-series store → Heuristic scoring → Dashboard

Compatibility is determined by protocol, not brand: any exchange offering a documented REST or WebSocket API with key-based authentication can be connected as a read-only or trade-enabled source.

Spot exchanges
Derivatives & futures venues
Self-serve connector for others
  • Connection protocolWebSocket streaming, REST for backfill
  • NormalisationOrder book, trade prints, funding rates
  • Update cadenceTick-level, per-exchange
  • StorageConfigurable history for backtesting
  • Auth modelPer-exchange API key, scoped permissions
  • Rate-limit handlingIsolated per connector, no cross-blocking

Design approach

Built for continuous market monitoring, not for admiring a dashboard.

Fastvanny was engineered around a single constraint: exchange data fragments the moment you trade on more than one venue. Every module in the interface is designed to be scanned quickly, cross-referenced against other exchanges, and revisited later during a backtest, rather than treated as a static report.

The underlying engine separates data collection from decision logic. That means the scoring model can be adjusted or re-weighted without altering how data is ingested or stored, which keeps historical comparisons consistent over time.

Fastvanny analytics interface concept showing multi-exchange data panels

Decision layer

From raw ticks to a ranked, auditable signal.

The scoring engine sits on top of the data layer and converts normalised feeds into a ranked list of setups, each with its contributing features visible rather than hidden behind a single opaque score.

1

Ingestion

Raw feed captured at tick level across every connected account, timestamped to the source exchange.

2

Feature extraction

Volatility, order-book imbalance and cross-exchange spread computed on rolling windows.

3

Heuristic scoring

A weighted model ranks setups against historical analogues, producing a confidence band rather than a single figure.

4

Delivery

Ranked signals appear in the dashboard with the underlying features attached, so the reasoning stays inspectable.

Risk management framework

Each connected account carries independent exposure limits. The engine checks correlation across open positions on different exchanges before surfacing a new signal, and flags concentration risk when several signals point to the same underlying asset.

Backtesting

The backtesting module replays historical data through the same scoring logic used live, so a strategy can be reviewed against past conditions before it is applied to a connected account. Results reflect historical data only and are not a projection of future performance.

Sample output

What the dashboard surfaces, in practice.

The modules below illustrate the format of the platform's analytical output using representative examples. They describe how figures are presented, not a specific guaranteed outcome for any account.

Illustrative
Sub-second
Typical feed-to-dashboard update interval under normal load
Illustrative
Confidence band
Signals are ranked with a range, not presented as a single certainty score
Illustrative
Multi-venue
Cross-exchange spread checked continuously across all connected accounts
Monitoring approach Exchanges viewed at once Cross-exchange spread check Signal audit trail
Manual, browser tabs per exchange Limited by attention Manual, delayed Not retained
Fastvanny unified dashboard All connected accounts Continuous Feature-level, stored

Figures on this page are illustrative and describe the dashboard's output format using representative examples. They are not a forecast, backtest result, or guarantee of trading performance.

Use cases

Built for different holding periods, on the same data layer.

The unified feed is the same regardless of trading style. What differs is which features the scoring engine weights most heavily, and how quickly a signal needs to reach the dashboard.

Priority

Low, consistent latency across every connected exchange, since a delay of even a few hundred milliseconds can invalidate a short-lived order-book imbalance.

Typical scenario

A liquidity gap opens between two exchanges on the same pair. Fastvanny flags the spread as it forms, with the contributing order-book depth visible alongside the signal.

Risk framework

Tight per-trade exposure limits, with correlation checks disabled for very short holding periods where positions rarely overlap in time.

Review cycle

Session-level backtests, comparing signal timing against realised entry and exit prices at the end of each trading day.

Priority

Breadth of historical context and clarity on why a signal fired, rather than sub-second delivery.

Typical scenario

Funding rates diverge between two derivatives venues over several days. Fastvanny surfaces the trend with the underlying rate history attached for review.

Risk framework

Portfolio-level exposure limits across all connected accounts, with concentration flags when multiple open signals reference the same underlying asset.

Review cycle

Weekly backtest review against the same historical window, used to re-weight which features the scoring model prioritises.

Technical FAQ

Security, integration and pricing, addressed directly.

How are exchange API keys stored?

Keys are encrypted at rest and are never required with withdrawal permissions. We recommend connecting accounts with read-only or trade-enabled scopes only, matching the minimum permission needed for the features you use.

Which permissions does Fastvanny request when connecting an account?

By default, read access to balances, order books and trade history. Trade-execution permission is optional and only required if you choose to act on signals directly from a connected account rather than manually on the exchange.

Does connecting more exchanges slow the dashboard down?

Each exchange connector runs independently, so a rate limit or slowdown on one venue does not delay data from another. Dashboard refresh is driven by whichever connectors have new data, not by the slowest one in the set.

Can I see why a particular signal fired?

Yes. Every ranked signal is delivered with its contributing features, such as spread, volume deviation or order-book imbalance, so the scoring logic behind it can be reviewed rather than taken on trust.

Does Fastvanny execute trades automatically?

No. The platform is a decision-support and data-aggregation tool. It surfaces signals and analysis; any order placement remains a deliberate action taken by you, whether manually on the exchange or through an optional connected-account action.

How is Fastvanny priced?

Pricing is structured around the number of connected exchange accounts and the length of historical data retained for backtesting. Current plan details are provided during onboarding.

Bring every exchange into one view.

Connect your first exchange account and review the unified dashboard before deciding whether to expand to a full connected-account setup.

Trading carries a risk of loss of capital. Fastvanny provides data aggregation and decision-support tools for informational purposes; it does not provide financial advice and is not a substitute for independent judgement. Available to account holders based in the United Kingdom, subject to onboarding checks.