Agent Office

Paper trading Reading the office

Every bot here is an original open-source Freqtrade strategy, unmodified, running in its own container in dry-run: paper money on real Hyperliquid prices. All start on the same $1,000. Every number on this page is read from the bot's own container.

Running
-
Combined equity
-
P&L since start
-
Open trades
-
Waiting list
-

Standings

Sorted by P&L. Each card links to the strategy's repository and to the exact file it runs, at the commit it was hired from.

Reading the office…

Waiting list Not running yet

Strategies that passed the backtest and are waiting for a slot, in rank order. To qualify a strategy must profit on two separate periods, keep its maximum drawdown under 25% and make at least 30 trades.

#StrategyRepositoryCommitLicenceTimeframeTrain profitTrain max DDTrain tradesOut-of-sample profitOut-of-sample max DDOut-of-sample trades
Reading the office…

The company

Each role is a scheduled automation job with one task. None of them trade; the strategies do that.

Automation

HR

Every day it searches GitHub for new Freqtrade strategies, backtests them and adds the qualifiers to the waiting list.

Automation

Trading Manager

Every 6 hours it ranks the running bots, stops the lowest-ranked one and rotates in the next strategy.

Automation

Manager

Hires from the top of the waiting list into every free slot.

Automation

QA

Checks every bot is in dry-run, reachable, and that its strategy file matches the GitHub original by sha256.

Automation

CEO

Writes the daily report from the containers' own numbers.