BUNDLE Security scanned3 skills

    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.

    Obi Emeka
    Created by
    Obi Emeka
    $39$45
    Save 13% · $6

    One payment, lifetime access. 3 skills unlock instantly in your library.

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    What's included

    3 skills

    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)

    MetricValue
    Initial Balance10,000.00 USDT
    Final Balance9,991.75 USDT
    Total P&L-8.25 USDT (-0.08%)
    Total Trades4
    Win Rate25.0%
    Max Drawdown0.12%
    Buy-and-Hold P&L+12.40 USDT (+0.12%)
    Benchmark VerdictFAIL (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

    1. Review the RsiEmaCross entry thresholds in config.py to reduce late entries.
    2. Adjust the minimal_roi table to capture smaller price movements during low volatility.
    3. Run the simulation again with --stake-pct 5 to see how lower exposure affects the drawdown.

    How to use

    1. 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. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 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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    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Frequently asked questions

    Yes — every skill in Trading Bundle is also sold on its own product page. The bundle just packages them together at a discount (save 13% vs buying each one separately).

    Yes. When you own the bundle your connected agent can load the latest version of any included skill. Updates the creator publishes after your purchase are included at no extra cost.

    All skills in this bundle use the open SKILL.md standard and work with Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf. The compatibility list on this page is computed from the included skills.

    The bundle price is set 13% below the combined retail price of the 3 paid skills included. You pay once and unlock every skill in your library instantly.

    Bundles are covered by the same money-back guarantee as individual skills. Doesn't do what its page promises? You get your money back.