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TraderPro AI Skills - Complete Trading Intelligence Collect
Trading without a disciplined process leads to emotional decisions and unnecessary losses.
$99.99
TraderPro AI Skills - Complete Trading Intelligence Collect
Example session with this skill installed
I want to go long on BTC/USDT at 64000. Stop is at 62500, target 68000. My account is 10k USDT and I want to risk 1%. Factor in a 0.06% taker fee. What is my plan and size?
- Read your context and instructions
- Compiled the traderpro ai
I have analyzed your request using the Trade Planning and Risk Management modules.
Trade Plan & Risk Assessment
| Category | Detail |
|---|---|
| Instrument | BTC/USDT (Crypto Spot/Perp) |
| Direction | Long |
| Thesis | Momentum breakout above 64k support-turn-resistance |
| Entry Trigger | 64,000.00 |
| Stop Loss | 62,500.00 (Invalidation) |
| Primary Target | 68,000.00 |
| Risk Amount | 100.00 USDT (1% of 10,000) |
| Price Risk/Unit | 1,500.00 USDT |
| Suggested Quantity | 0.066 BTC |
| Notional Value | 4,224.00 USDT |
| Est. Taker Fees | 2.53 USDT (at entry) |
| Reward-to-Risk | 2.67 R |
Technical Notes
The entry at 64,000 assumes a limit order or candle close confirmation. If price gaps below 62,500, realized loss will exceed the 100 USDT budget. The 0.066 quantity is rounded down to ensure the risk cap is respected.
Next steps
- Verify if 0.066 meets your exchange's minimum increment requirements.
- Check if you have existing BTC exposure that would over-concentrate this position.
- Set an alert for 64,000 to trigger the manual entry.
Connects securely to your tools. The creator never sees your data.
About this skill
Trading without a disciplined process leads to emotional decisions and unnecessary losses. This skill provides a structured analytical framework to move from raw market data to validated trade plans and performance audits. It functions as a technical copilot for stock, crypto, and forex traders who need to verify their setups against objective risk and portfolio constraints.
What it does
- Market regime analysis classifies trends, swing points, and volatility across different asset classes.
- Technical evidence verification interprets indicators like RSI, MACD, and VWAP to find confirmations or conflicts.
- Conditional trade planning defines precise entry triggers, stop-loss levels, and targets before capital is committed.
- Risk management calculations determines exact position sizes based on account risk budgets and instrument-specific contract sizes.
- Portfolio impact assessment evaluates how new positions affect aggregate risk, sector concentration, and margin requirements.
- Performance journaling audits trade logs to identify winning patterns, strategy drift, and execution errors.
How it works
- Supply market data or a chart description to establish the current regime and key price levels.
- Define a potential trade thesis to generate a structured plan with specific invalidation points.
- Input account balance and risk tolerance to receive precise quantity and notional exposure calculations.
- Upload trade history in CSV or JSON format for a detailed performance and process audit.
Frameworks & tools
This skill is designed for traders using TradingView, MetaTrader, or exchange interfaces who require a secondary analytical layer. It supports conventions for spot, futures, and forex markets.
Why this beats prompting it yourself
Generic prompts often overlook critical risk factors like contract multipliers, slippage, or portfolio correlation. This skill enforces a six-module chain that prevents trade planning without first defining a stop-loss and calculating position sizing.
Use cases
- Validating a technical setup against multiple timeframe indicators.
- Calculating position sizes for complex crypto futures or forex pairs.
- Auditing a month of trading data to find recurring execution mistakes.
- Assessing how a new long position affects total portfolio concentration.
Known limitations
Does not have access to live market feeds or exchange APIs. Cannot execute, modify, or cancel orders. Risk calculations rely entirely on user-provided account data and instrument specifications.
No live market data access. Cannot execute trades. Requires manual input of account balances and contract specs. Performance analysis requires user-supplied CSV/JSON logs.
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 this skill and uses it on your task. It always asks before any payment.
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