Trends
Crunching the latest rate history…
Crunching the latest rate history…
Everything the comparison table cannot tell you in a single snapshot: which corridors are moving, which provider actually holds the top payout over time, which weekday has historically paid best, and whether today is a good day to send at all…and more.
Our data is based on real, industry data points, and as of September 29, 2026, derives from analysis of 92,669 observations across 161 targeted African corridors.
Change in the best available rate over the last 7 and 30 days.
| Corridor | Best rate | 7-day | 30-day |
|---|---|---|---|
| AED → GHSGH | 3.19 | +1.80% | +3.06% |
| USD → ZARZA | 16.45 | +0.94% | +2.56% |
| USD → GHSGH | 11.90 | +0.92% | +3.41% |
See all 40 corridors ranked by momentum, plus the corridors that are weakening.
Momentum compares the latest stored best rate against the value 7 and 30 days earlier for each corridor. A rising rate means each unit of the currency you send buys more.
Individual provider rate movement across corridors — the biggest movers among all tracked providers.
| Provider | Corridor | Rate | 7-day Δ |
|---|---|---|---|
| Remitly | USD → DZD | 130.40 | +24.19% |
| Dahabshiil | GBP → ETB | 235.10 | +4.61% |
| Dahabshiil | CAD → ETB | 125.18 | +4.52% |
See all 1010 provider-corridor movements.
Tracks each provider's effective rate per corridor over time. Unlike corridor momentum (which shows only the best rate), this reveals which providers are climbing, flat, or declining independently.
How whole currencies are moving across every corridor they touch — not just one pair at a time.
Average move across the African destinations each source currency serves.
| Currency | Corridors | 7-day | 30-day |
|---|---|---|---|
| 6 | +0.34% | +1.51% | |
| 6 | +0.28% | +1.30% | |
| 4 | 0.00% | 0.00% | |
| 6 | -0.23% | -0.86% | |
| 6 | -0.31% | -0.67% | |
| 6 | -0.85% | -0.10% | |
| 6 | -1.05% | -0.97% |
Average move across every source currency sent into each market.
| Currency | Corridors | 7-day | 30-day |
|---|---|---|---|
| 7 | +0.20% | +0.67% | |
| 7 | +0.11% | +0.86% | |
| 7 | -0.26% | -1.64% | |
| 7 | -0.43% | -0.07% | |
| 6 | -0.51% | -0.51% | |
| 6 | -0.86% | +0.93% |
A rising rate on a destination currency means each unit sent buys more local currency — i.e. the local currency is weakening against the money sent into it.
How tightly two destination currencies have moved together day-to-day. +1 means they rise and fall in lockstep; −1 means they move in opposite directions.
Currency figures pool the daily best rate of every corridor the currency appears in, each measured against its own average so corridors of very different sizes compare fairly. Correlations use daily rate changes over the shared history. Past patterns are not a forecast.
Which providers rise, fall or hold together — benchmarked against each other, the mid-market and official rates. Reveals when two providers are effectively pricing off the same feed.
How provider rates and transfer demand shift around major holidays in the destination countries, 19 Aug–29 Sept.
See how provider rates and diaspora demand move around Christmas, Eid, Easter and national days across Kenya, Egypt, Nigeria, Ghana and South Africa.
A forward-looking prediction of the best and weakest day to send and to buy this week, per corridor — with an honest confidence level. Weeks run Sunday to Saturday; next week’s forecast goes live every Saturday at 11:00 GMT.
Forecast for the current Sunday–Saturday week; next week’s forecast goes live every Saturday at 11:00 GMT. Relative movement only — each weekday is expressed as a percentage versus this corridor’s typical rate. A forecast is not a guarantee; confidence reflects how much history supports it.
Forecast for the current Sunday–Saturday week; next week’s forecast goes live every Saturday at 11:00 GMT. Relative movement only — each weekday is expressed as a percentage versus this corridor’s typical rate. A forecast is not a guarantee; confidence reflects how much history supports it.
This is a prediction for the week ahead, not a description of the past — the panels below show the observed historical patterns it is built on. Forecasts use only real collected data, are locked in each Saturday before the new week, and are scored against what actually happens so the model’s accuracy is tracked over time. Relative movement only; not financial advice.
For bigger senders and buyers: which period of the month — early, mid or late — tends to be best to send and to buy, per corridor. A window to plan around, not a single day.
Plan large transfers around the best period of the month — early, mid or late — for every corridor. Unlock the monthly outlook with Plus.
Some providers price certain weekdays or parts of the month better than others, and the pattern depends on the corridor’s country — a Gulf-origin route’s weekend is Friday/Saturday, not Saturday/Sunday. Choose a provider and a corridor to build a live weekly forecast (and, with Plus, a monthly outlook) specific to that pairing. Nothing is pre-tabulated — each graph is generated on demand from the latest data.
Select a provider and corridor to build a live forecast.
See which part of the month this provider tends to be best on your corridor. Unlock the monthly outlook with Plus.
The mirror of the forecast above, for buying foreign currency with your African currency (e.g. NGN → USD). Pick a provider and a buy corridor to build a live weekly forecast (and, with Plus, a monthly outlook) for the best day to buy on that pairing. Buy-side history has only just started being collected, so these forecasts stay cautious and appear once enough of each provider’s daily buy rates have accumulated.
Select a provider and corridor to build a live forecast.
See which part of the month this provider tends to be best on your corridor. Unlock the monthly outlook with Plus.
Pick a corridor to see its own best weekday, 35-day window.
Each weekday is measured against this corridor’s own average. Past patterns are not a forecast.
Each weekday is compared to that corridor's own average, so routes with very different rate sizes can be read the same way. This is the data the mobile app's Best Day section draws from. Past patterns are not a forecast.
Buying hard currency with your local currency, e.g. NGN → USD, 35-day window.
Each weekday is measured against this corridor’s own average. Past patterns are not a forecast.
Reverse corridors (e.g. NGN → USD) on the same provider effective rates as the send panels — a higher rate means more hard currency per unit sold. Buy-side history began collecting recently, so it fills in over about a week. This is the data the mobile app's Best Day (buy) section draws from. Past patterns are not a forecast.
How often each provider held the top rate over the 35-day history.
See who genuinely leads over months — not just who happens to be first in today's table.
Extra you receive by picking the top-ranked provider over the lowest, on a 1,000-unit transfer.
See the payout margin between the best and lowest-ranked option on every corridor — and what it adds up to over a year of regular transfers.
How much each corridor swings over the 35-day window.
Know which corridors reward patience and which ones punish it before you decide to wait a week.
Where today's best rate sits inside each corridor's 35-day range.
A single percentile per corridor that answers the only question that matters: is today a good day to send?
When a central bank moved its official rate by 1% or more between consecutive observations.
Track exactly when and by how much each central bank adjusted its official exchange rate — the events that move corridors overnight.
The corridors people search most, next to what they stand to gain.
Spot the corridors where heavy demand meets a wide payout gap — where the most money is being left on the table.
Subscribe to a free twice-daily rate summary on any corridor. Plus members can add high/low target alerts that fire the moment a rate rises above or drops below a figure you set.
How these trends are produced. Every figure on this page is computed from the real rate history stored by BestAfricanFX — 35 days of observations across 98 corridors, from 2026-08-19 to 2026-09-29. We record the best observed rate on every corridor once a day at midnight GMT, so the historical panels grow more detailed with each passing day. Nothing here is a forecast, and none of it is financial advice. Read our methodology.
The competitive picture a money transfer operator needs: how providers price each corridor, how they split fee versus FX margin, how often they re-price, who owns the ‘cheapest’ slot, and how demand responds to price — all derived from the live pricing telemetry we capture across African remittance corridors.
Every figure is measured from observed data. Views that need more history state exactly how much has been collected.
Split every provider’s take into visible fee vs hidden FX margin, per corridor — and the marketing stance it implies.
What share of the window each MTO held the #1-cheapest spot on every country pair.
Dynamic algorithmic pricing vs manual desks — measured from how often each provider actually moves its rate.
Where spreads widen — weekend squeeze, payday moves, intraday rhythm — accumulating week over week.
Provider mark-up over the central-bank official rate in managed-currency markets like Nigeria and Egypt.
How far from the cheapest rate visitors still click — the brand-premium a provider can command.
Which diaspora countries demand comes from on each corridor — derived server-side from click origin across web and app.