moss-trade-bot-skills

Unverified ML strategy on Crypto by moss-site. BotFinder score 18 out of 100.

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,

Source: github

Explorer/Crypto/moss-trade-bot-skills
18
Data index
CryptoMLMedium risk⚠ UnverifiedNEW

moss-trade-bot-skills

moss-siteGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.4y
BotFinder Analysis

BotFinder analysis pending.

About

moss-trade-bot-skills

Moss: Create 24/7 AI Trading Agents in Natural Language 🎉 Moss is an intelligent quantitative trading bot factory and strategy tuner. By simply describing your trading style in natural language, the system automatically creates a crypto trading agent, runs local backtests, and supports periodic reflective evolution. 🚀 Features | ⚡ Installation & CLI | 🧠 Evolution Mechanism | 📦 Platform Integration | 🤝 Contributing Overview Moss transforms natural language descriptions into fully functional cryptocurrency trading strategies. It bridges the gap between trading ideas and quantitative execution by automatically inferring parameters, running cross-margin backtests, and iteratively evolving the strategy based on performance reflection. Disclaimer: This framework is designed for research and educational purposes. Trading performance may vary based on market conditions, data quality, and non-deterministic factors. It is not intended as financial, investment, or trading advice. Quick Start Start to create your AI trading agent in minutes. Simply send this message to your agent: AI Trading Age

PythonMIT-0Open-sourceaiai-tradeai-trading-algorithmcrypto-tradingcryptocurrencycryptocurrency-analyserlive-trading-quantquantitative-trading-tool
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

Reviews

Reviews & comments

No reviews collected from the source yet.

Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
moss-site
Since 2012 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars387
Forks35
Open issues2
LanguagePython
LicenseMIT-0
Last update2026-09-09
Created2026-04-15
Website
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