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- first 100 trades training lab
first 100 trades training lab
A structured 100-trade simulated practice curriculum with risk limits, journal templates, and progression gates.
$5
Works with the AI tools you already use
first 100 trades training lab
Example session with this skill installed
Build a 100-trade practice lab for a mean-reversion strategy on BTCUSD. Use a 1% risk per trade limit and include a progression gate at trade 25 based on profit factor.
- Read your context and instructions
- Compiled the first 100 trades
BTCUSD Mean-Reversion Lab
Setup Rules
- Entry: Price touches lower Bollinger Band (20,2) and RSI < 30.
- Stop: 1.5 ATR below entry.
- Target: 2.0R or Mean touch.
Risk Limits
- Max Trade Risk: 1% balance.
- Daily Stop: 3%.
Phase 1 Gate (Trade 25)
- Profit Factor > 1.2
- Discipline > 4/5
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Traders often fail because they lack a disciplined process, jumping into live markets without testing their strategy or emotional control. Raw practice without structure leads to repetitive mistakes and a lack of objective data to improve performance.
What it does
- Generates a complete simulated trading curriculum with strict entry, exit, and invalidation rules.
- Establishes hard risk limits including per-trade caps, daily loss stops, and maximum drawdown gates.
- Defines a multi-stage progression system that requires meeting specific win rate and discipline metrics to advance.
- Creates a structured journaling framework with pre-trade checklists, emotional tracking, and R-multiple analysis.
- Sets up a mandatory review cadence for daily, weekly, and milestone-based performance audits.
Why this beats prompting it yourself
This skill provides a pre-configured architecture for professional-grade trade logging and risk management that standard prompts miss. It enforces specific mathematical position sizing and progression gates, ensuring you build a data-backed trading plan rather than a simple list of trades.
Use cases
- Building a repeatable trading process before risking real capital in live markets.
- Backtesting a new technical strategy through 100 disciplined, simulated iterations.
- Creating an accountability framework for student traders or internal trading desks.
- Developing emotional awareness by tracking psychological states alongside trade outcomes.
Known limitations
Requires the user to manually capture and organize chart screenshots. Effectiveness depends on the user's honesty in reporting simulated slippage and discipline scores.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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Fresh listing
Recently published to Agensi
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Trust & safety
Security scanned
Verified clean 17 days ago
- Passed all security checks, Safe to install