Eldermere Trading was built by traders, for traders — by people who got tired of guru noise, black-box scoring, and platforms that look polished on the outside but rely on a recycled retail-sentiment widget on the inside.
Our team has spent the better part of a decade in the same room — ten-plus combined years trading the major futures and forex markets, dissecting central-bank statements, sitting through every CPI release, and arguing about whether seasonality "still works" in algo-driven flow. We've made every mistake worth making, learned what each factor really tells you, and quietly built our own private scoring spreadsheet to keep ourselves honest.
That spreadsheet became the bias engine you now see in Eldermere Edge. Five public-data factors, sensibly weighted, fed live data, refreshed every hour. Nothing exotic. Just the discipline of looking at the same things, in the same way, every single day — the kind of discipline that turns a chaotic market into a board you can read.
We never planned to sell it. The platform exists because three traders we trusted asked for access, and then four of their friends did. Eldermere Edge is the polished version of the spreadsheet — same logic, same data sources, just dressed for the lounge instead of the war-room.
Confluence beats conviction. A trade where four of five factors line up is a different beast to a trade where you "just feel it". Our job is to give you a board where confluence is impossible to ignore and easy to act on.
Transparency over mystique. We tell you the formula and the data source for every factor. If a competitor wants to copy it, fine — they'll still need the discipline to use it daily, which is the part that's actually hard.
Real data, no synthetic fillers. Every score on the board is computed from sources you can verify yourself: FRED, the CFTC, Yahoo Finance, Finnhub, NewsAPI. We do not invent retail-sentiment numbers, fabricate COT prints or guess at central-bank rates.
Every asset on Eldermere Edge gets a single composite score from −100 (strong sell) through 0 (neutral) to +100 (strong buy). That number is the weighted blend of five factors — each one independent, each one sourced from a public, verifiable feed.
30-day mean-reversion read against current price. Helps separate stretched moves from genuine breakouts.
Live central-bank policy-rate differentials between the two currencies in the pair (or the relevant macro pair for indices/commodities/crypto).
Where institutional money is leaning, ranked against its own 52-week history so a +88 percentile reads very differently to a +18.
Where the small-trader crowd is positioned — used contrarian. When the crowd is loaded one way, we lean the other.
15-year rolling average of monthly returns for each asset. Markets aren't random calendars; we surface the persistent tendencies.
Above ±50 the engine is loudly biased. Between ±20 the engine is whispering — usually the signal to do nothing. We trade the whispers we have to, but the shouts pay best.
The exact transformation, normalisation and bucket thresholds we use to turn raw CFTC contracts, basis-point differentials and percentile ranks into the −100 / +100 composite are part of our craft, not part of our marketing copy. The factors, weights and data sources above are everything you need to evaluate whether the approach is sound — the rest is the part you pay for.
Seven days of full Edge access. No card. One trial per email. The rest of this is easier to feel than to read about.
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