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Built for research, simulation, and strategy exploration on Monstra's dark-first platform.

Algorithm

Echo

Discovers lead-lag correlations across a curated universe and allocates to the stocks most predicted to follow recent leader moves.

Echo Bots

Imperium

Imperium artwork

Creator

@official

Type

Echo

Metalli

Metalli artwork

Creator

@official

Type

Echo

Vectura

Vectura artwork

Creator

@official

Type

Echo

Vis

Vis artwork

Creator

@official

Type

Echo

Dux

Dux artwork

Creator

@official

Type

Echo

Thesauro

Thesauro artwork

Creator

@official

Type

Echo

How Echo Works

Echo

Echo in 4 steps

Scan your universe for lead-lag relationships, rank follower signals from active pairs, size holdings by score up to gross exposure, and shift into a fallback when guard rails fire.

1Universe
NVDAPLTRANETAVGOMETANFLX
Multi-year pair scan

Choose stocks Echo can pair.

2Pairs
NVDA→PLTR
5d lag
AVGO→ANET
7d lag
META→NFLX
9d lag

Find lead-lag relationships.

3Size
PLTR82% wt
ANET61% wt
NFLXLow signal
Score-proportional · 95% gross

Weight top followers by score.

4Guard rails

Market filter

VOO below 100-day SMA

Drawdown pause

Equity −20% from peak

Guard fires → VOO

Market filter or drawdown pause.

Example only. Tickers, returns, scores, and weights shown here are illustrative, not live signals or trading advice.

Echo looks for stocks that tend to move after another stock moves first. It mines those lead-lag relationships across your universe, then concentrates capital in the names with the strongest follower signals. The following slides walk through one example configuration. Universe tickers, signal windows, risk profile, max holdings, and fallback behavior can all be customized when you build an Echo bot.

  • Builds a network of leader-follower stock relationships
  • Concentrates in a small set of names with the strongest projected follow-through
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