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Trading Bot Guardrails — Research & Live Risk
Honest backtests, pre-registered stop rules and paper trading by default for automated strategies. Not financial advice.
$29
Works with the AI Agents you already use
Trading Bot Guardrails — Research & Live Risk
Example session with this skill installed
I have a mean-reversion strategy for EURUSD with a backtest mean return of 0.05% per trade and 0.2% std dev. Help me set up the research report and the pre-registered stop rule for live trading.
- Read your context and instructions
- Compiled the trading bot guardrails
I have analyzed your EURUSD mean-reversion strategy. Based on the provided performance metrics, I have generated a formal research report and the mandatory stop-loss thresholds required before moving toward paper or live execution.
Strategy Research & Stop Rule Registry
| Metric | Value / Requirement |
|---|---|
| Instrument | EURUSD |
| Hypothesis | Mean-reversion (Reversion to 20-period SMA) |
| Backtest Mean (m) | 0.05% per trade |
| Backtest Std Dev (s) | 0.20% per trade |
| Min. Required Trades | 30 (Results are statistically insignificant below this) |
| Realistic Costs | Must include 0.5 pip spread + $2.00/lot commission |
| Confidence Interval | 95% (m ± 1.96 * s / √n) |
| Live Stop Rule (Mean) | Stop if live mean < 0.05 - (2 * 0.20 / √n) |
| Max Drawdown (D) | 2.5% (Hard stop and flatten all positions) |
| Execution Mode | PAPER ONLY (Manual approval required for Live) |
| Risk Limits | Max 2% open risk; Max 5 orders per hour |
Next steps
1.
Validate Out-of-Sample: Run the strategy on data not used for parameter optimization to confirm the 0.05% mean holds.
2. Paper Trade: Deploy the bot in a paper environment to test broker reconciliation and idempotent order ID logic.
3.
Log Approval: Once paper results match the backtest profile, provide written approval to enable live execution rails.
Connects securely to your tools. The creator never sees your data.
About this skill
Honest backtests, pre-registered stop rules, paper by default. Not financial advice.
Build and run an automated trading strategy with research discipline and hard safety rails - out-of-sample testing with realistic costs, multiple-testing correction, a stop rule written before live trading, paper trading by default, position and loss limits, and human approval for going live. Use when the user builds a trading bot, backtests a strategy, connects an agent to a broker (MT5, IBKR, crypto exchange), or asks whether a strategy "works".
Includes an EXPERT.md reference (exact parameters, thresholds, failure diagnosis).
Not financial advice. This skill imposes research discipline and risk limits; it does not predict markets, recommend instruments, or promise returns.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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