TRADEXER AI
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Binance USDT-M Futures

You set the limits.
The AI does the trading.

TRADEXER is an algorithmic trading platform, not a manual one. You connect an exchange, configure a bot, and define the ceilings it may never exceed. From there the engine watches the market, opens and closes positions, and reports every decision back to you.

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Credentials encrypted at rest. Withdrawal-enabled API keys are refused. Two-factor authentication required.

How it works

Nothing here is traded by hand. The only thing you operate is the configuration.

  1. 01

    Connect an exchange

    Attach an API key with reading and trading permission. It is encrypted before storage and never shown again.

  2. 02

    Configure a bot

    Choose a strategy family, a timeframe, and the symbols the bot is allowed to trade.

  3. 03

    Choose a risk profile

    Conservative, Balanced or Aggressive. One choice sets every limit your AI may never exceed — no trading knowledge required.

  4. 04

    Arm it

    One click authorises the bot to trade. One click stands it down again.

  5. 05

    Supervise

    Every decision, order and fill is recorded against a correlation id, so you can reconstruct exactly what happened and why.

Built today

Shipped and usable.

  • Binance, Bybit and OKX account management with encrypted credentials
  • Live futures market data — mark price, funding, open interest, 24-hour statistics
  • Symbol catalogue synced from the exchange, with every order filter
  • Watchlists, charting and a trading terminal workspace
  • AI bot configuration with enforced risk ceilings
  • Bot runtime — evaluates every armed bot against the market on a schedule
  • Ten strategy implementations, from trend following to mean reversion
  • A seven-agent AI council whose every deliberation is journalled and replayable
  • Order and position management, valued against the venue every five minutes
  • Risk enforcement at order time — thirteen checks before anything reaches a venue
  • Live orders on Binance USDⓈ-M Futures — entry, stop and take profit, placed through the venue's algo-order API
  • Intraday equity recording — the daily loss ceiling stops trading part-way through a bad day, not the following morning
  • Correlated-exposure enforcement — open positions are grouped by measured price correlation and the group is bounded before every entry
  • Realised profit and loss read from the venue's own fills — per position and per fill, with fees kept separate from the result
  • Funding paid and received, recorded per settlement from the exchange's own income ledger — the term that makes realised profit and account equity reconcile instead of differing by an amount nobody could name
  • Value at risk, estimated from your own recorded balance history — reported for you to read, and deliberately not used to refuse trades
  • Sector exposure limits enforced against groups YOU define — the platform ships no crypto sector map and infers nothing, because there is no agreed taxonomy and one shipped here would be an opinion presented as data
  • Adoption of positions opened outside the platform — listed on demand and taken into the book one at a time, after which the AI stops and manages them like any other
  • Performance analytics
  • Full audit trail with correlation ids across every layer

Deliberately not built

Every path below the surface — entry, stop, exit, reconciliation, funding — has been exercised against a live venue rather than simulated. That is a different thing from a long record with real funds behind it, and the difference is worth knowing before you decide what to put in.

Nothing is currently listed here. Sector-based exposure limits were the last item and now exist — but this platform still ships no sector map, because there is no agreed taxonomy for crypto and one shipped in the product would be an opinion presented as data. You define the groups; the limit is enforced against yours. This section stays for whatever is missing next.