Trading Bundle
Paper-first crypto trading, three ways: AetherBot paper trading simulator with RiskManager veto gates; RegimeDesk market-regime classification and risk-gated trend-following signal proposals (analysis only); Dexscreener memecoin scanner with paper simulation. Paper trading only — never live, no returns promised, not financial advice. Experimental / educational.
Works with any agent that signs in to Agensi, such as Claude, ChatGPT, Claude Code, Cursor and Codex CLI.
One payment, lifetime access. 3 skills unlock instantly in your library.
What's included
3 skillsA paper-first crypto trading simulator with non-negotiable risk gates and honest buy-and-hold backtesting.
Deterministic memecoin scanner and paper-trading simulator using the Dexscreener public API.
Deterministic market regime classification and risk-gated trend-following signal proposals via CLI.
See it in action
aetherbot trading
Example session with this skill installed
Run a backtest on btc_usdt_15m.csv using the default RsiEmaCross strategy and show me how it performed against buy-and-hold.
- Read your context and instructions
- Compiled the aetherbot trading
I have executed the paper-run simulation using the RsiEmaCross strategy against the provided BTC/USDT 15m fixture. The RiskManager processed all signals, enforcing the default 10% stake and 0.10 stoploss limits.
Backtest Result: BTC/USDT (15m)
| Metric | Value |
|---|---|
| Initial Balance | 10,000.00 USDT |
| Final Balance | 9,991.75 USDT |
| Total P&L | -8.25 USDT (-0.08%) |
| Total Trades | 4 |
| Win Rate | 25.0% |
| Max Drawdown | 0.12% |
| Buy-and-Hold P&L | +12.40 USDT (+0.12%) |
| Benchmark Verdict | FAIL (Underperformed Buy-and-Hold) |
Veto Log Summary
- 2 signals skipped: Max open trades (1) reached.
- 0 signals vetoed: Daily loss limit not triggered.
- 0 signals vetoed: Max drawdown limit not triggered.
Next steps
- Review the
RsiEmaCrossentry thresholds inconfig.pyto reduce late entries. - Adjust the
minimal_roitable to capture smaller price movements during low volatility. - Run the simulation again with
--stake-pct 5to see how lower exposure affects the drawdown.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads these skills and uses them on your task. It always asks before buying a skill.
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