Oscillon develops trading algorithms grounded in mathematics and machine learning, runs them on its own capital first, and publishes the results as they happen. Eigen is our most advanced system in production; every figure on this page is computed from its execution journal and refreshed every few minutes.
Realized figures come from closed trades and are verifiable against exchange account history. The index also values open positions at current prices; open positions are inventory waiting for their targets, not realized losses. How to read these numbers
Realized return is measured against the average capital at work in each month, so capital added mid-period is not counted as profit. Every cycle behind these numbers is a pair of real fills with real fees, reconcilable to the exchange statement.
| Month | Realized | Cycles | Days |
|---|
Realized return per month is to the average working capital of that month. The current month is marked as in progress.
Profit that has already arrived on the account from closed trades, after fees. This is the headline figure. It is expressed against contributed capital and against the average capital actually at work, so additions of capital are not counted as profit.
The value of one unit of the strategy, marked to market, starting at 100. It moves with the prices of open positions. Adding or withdrawing capital issues or redeems units at the current unit value, so the index does not jump when capital changes.
Eigen buys in levels and sells each level only above its entry. Positions that have not yet reached their target are inventory: they show up as a dip in the index, not as a realized loss. Spot only, no leverage, no short exposure.
A long-only accumulation system: it buys structured levels into weakness, sells each level at its own target, and only trades markets where that behaviour has a measured edge. The grid is the simple part. The edge is in market selection, capital protection, and the discipline of measuring every change before it goes live.
Eigen is one algorithm running on a research and execution platform built to carry several. The platform records the market, replays it, fits selection rules on it, runs the live engine and reports the result, every night, on its own.
Trades, best bid and ask and candidate-market ticks recorded continuously.
The live engine re-run on recorded ticks with a shared desk, real fees and crash overlays.
Features of every USDT market at each decision day against its 30-day outcome.
Execution, selection and capital desk in production, with shadow variants running alongside.
Investor reports and this public feed from one journal, one set of formulas.
What lets us test a hypothesis in a night rather than a quarter, and what the next algorithms are built on.
The client portal is opening to referred clients. Your capital never leaves your exchange account: Eigen trades it through API keys that can trade but cannot withdraw, from a dedicated instance provisioned for you.
Email, password and a referral code issued by Oscillon. There is no open sign-up.
Create API keys on your Binance account with trading permission only, no withdrawals, and add them in the portal.
A dedicated instance is provisioned for your account, with its own journal and its own capital desk sized to your balance.
Realized result, open positions, cycles and the index for your account, in the same accounting used on this page.
Oscillon never holds client funds. Keys are stored encrypted and can be revoked on the exchange at any time.
Client instances run the production release of Eigen and report with the same unit accounting shown on this page.
Ladder depth and reserve are derived from the account balance, the same way they are for our own capital.
Oscillon is built to run several algorithms side by side, each with its own live track record. Eigen is the first.
An independent algorithmic trading research company founded by Sergei Ferov. We build the platform, run our own capital on the algorithms first, and publish the results as they happen.
For the full monthly report, a referral, or a live walkthrough of the research platform:
hello@oscillon.io