Zoupr Systems continuously scans live Pump.fun data in paper mode, tests bounded strategy changes, logs the results into Obsidian, and compares new challengers against the best-known policy. This dashboard separates the current run from the full research record so one lucky test never gets confused with proven profitability.
Long-run stability. Discord, autotune, and Obsidian now have heartbeat-based watchdog checks so a frozen process cannot keep pretending it is healthy just because its PID still exists.
Use the full Obsidian evidence trail to find repeat loser patterns, trial bounded filters as challengers, and only promote changes after forward paper evidence.
The research memory is still net negative overall. Recent green tests are useful evidence, not proof of a profitable algorithm.
Heartbeat supervision for Discord/autotune/Obsidian, continuous paper research, current-run vs lifetime research separation, and public dashboard data sourced from the live runner plus Obsidian.
Compared matched wins and losses, blocked especially weak low-cap setups, and added stale-arm rejection instead of blindly changing score thresholds.
Restored 0.025-SOL simulated execution, repaired reporting, and stopped confusing display scaling with actual simulated trade size.
Recovered the earlier small positive paper baseline used as one comparison point. It remains evidence, not validation.
Live market data, simulated fills, continuous testing, logging, failure recovery, and evidence-driven tuning.
Real-money testing is only a future possibility after paper results, execution reliability, and risk controls justify it.
Traditional-market automation would use its own strategy and validation path rather than reusing memecoin logic blindly.