Python · MIT-0
moss-site/moss-trade-bot-skills
LLM-powered trading agents that turn plain natural language into a five-pillar strategy: Trend, Mean-Reversion, Momentum, Volume, and Risk. Each strategy is hosted, self-evolving, configurable through 30+ tunable parameters, and bit-exact between backtest and live execution. Built for simulated Hyperliquid perpetuals.
★ 392
Stars
35 forks · 2 open issues
+2.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
38.2
Momentum / 100
see the breakdown below
6mo ago
Created
last push 19d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 2.1 | +2.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 15.0 | last week ran 2.48× the monthly pace |
| Freshness | 15 | 13.6 | last push 19d ago; decays to zero at 180 days |
| Scale | 15 | 7.5 | 392 stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 38.2 | sum of the above |
Detail
| Topics | aiai-tradeai-trading-algorithmcrypto-tradingcryptocurrencycryptocurrency-analyserlive-trading-quantquantitative-trading-tooltradeagentstrading-bottrading-strategies |
| Matched on | Finance (trading-bot) |
| Short window | +2 stars over 7 days = 0.3/day |
| Long window | +3 stars over 26 days = 0.1/day |
| Lifetime average | 1.92 stars/day over 204 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |