Melbets Agents consolidates balances, transaction history and exposure data from every exchange account you use, then applies predictive models to surface risk-adjusted recommendations for the periods between paid projects.
Underlying model output: portfolio variance, exposure concentration and short-term liquidity forecast, recalculated each time a new statement is imported.
Freelance income in Nigeria rarely arrives through one channel. A single independent professional may hold Naira in a bank app, stablecoins on one exchange, forex on another, and a small equity position elsewhere — often accumulated during gaps between client contracts.
Each platform reports balances in its own currency, on its own schedule, using its own definitions of realised and unrealised gain. Viewed separately, none of these figures is wrong. Viewed together, without reconciliation, they rarely form a coherent picture of actual exposure or available liquidity.
Melbets Agents was built on the observation that the friction is not a lack of data — it is the absence of a common structure for reading that data as one ledger.
The dashboard aggregates statements imported from each connected exchange account into a single, currency-normalised ledger. A balance change on one platform is read alongside every other holding, rather than assessed in isolation.
Position history, inflows and outflows are arranged on a shared timeline, so a payment received in one currency and later converted on a different exchange still appears as one continuous movement of capital.
The risk mitigation engine does not aim to predict markets. It aims to make the trade-offs already present in your holdings explicit, so decisions during a quiet income period are informed rather than guessed.
Exchange statements, wallet exports and transaction histories are imported and normalised into a common schema, aligning currencies, timestamps and asset categories before any modelling begins.
A set of statistical models evaluates volatility, correlation between held assets, and historical drawdown patterns to estimate near-term exposure under a range of plausible market conditions.
The engine returns a ranked set of allocation adjustments, such as reducing concentration in a single asset, rather than a single directive — the final decision remains with the account holder.
Modelling combines time-series analysis of imported price and balance data with scenario testing across historical volatility regimes. Each recommendation is attached to the assumptions and time window it was generated from, so it can be checked against your own judgment rather than taken on faith.
Model output is presented as a probability range rather than a fixed prediction, because exchange-rate and asset-price movements cannot be forecast with certainty. Every recommendation states the assumptions it relies on and the period it covers, so its reliability can be assessed rather than assumed.
The scenarios below reflect the way freelance and investment income actually moves — irregularly, across currencies, and often without a fixed schedule.
A freelance developer paid in stablecoins between contracts often leaves that balance untouched on the receiving exchange. The engine flags capital that has been static for an extended period and models short-term allocation options against the holder's existing exposure elsewhere.
Outcome: idle balances are surfaced for a deliberate decision, rather than left unexamined by default.
Clients on different platforms often settle in different currencies. The consolidated ledger converts each inflow into one reference currency so total earnings for a period can be read at a glance.
Outcome: income tracking no longer depends on manually converting each statement by hand.
Holders who convert part of their earnings to hedge against Naira movement can see, in one view, how that hedge is performing relative to their overall exposure across accounts.
Outcome: hedging decisions are reviewed against the full portfolio, not a single exchange balance.
An independent investor holding a portion of savings in less liquid assets across two exchanges can track combined drawdown risk without switching between separate platform interfaces.
Outcome: concentration risk in a single asset class is visible before it becomes significant.
The answers below are intended to be checked against your own use, not accepted at face value.
Melbets Agents accepts imported statements and, where an exchange offers one, read-only API access, from common categories of accounts — spot trading accounts, derivatives accounts, stablecoin wallets and fiat settlement accounts. Coverage depends on the export or API format each exchange makes available.
No. The platform produces analysis and ranked recommendations only. Any transfer, trade or reallocation is initiated by the account holder on the exchange itself, outside this platform.
No. Output is analytical and informational, intended to support your own reasoning. It is not licensed financial advice and should be weighed alongside your own circumstances.
The dashboard retains your historical ledger, but new recommendations become stale without fresh data. Reimporting a current statement refreshes the exposure calculation.
Yes. Imported statements and derived calculations can be deleted from your account; deletion is permanent and is not reversible from our side once confirmed.
Imported statements and account data are encrypted in transit and at rest. Access to stored data is restricted by authentication controls, and data is not sold or shared with third parties for marketing purposes.
Where an exchange offers API access, connections are requested with read-only permissions wherever the exchange supports that scope, limiting what the integration is able to do on your account.
Integration starts with a single statement or read-only connection. The ledger and exposure view build incrementally as additional accounts are added, so there is no requirement to consolidate everything on the first import.