successful-trader_skill

This skill helps you build robust trading plans, manage risk, analyze markets, and optimize strategies to improve consistency and profitability.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill successful-trader

  • _meta.json287 B
  • SKILL.md13.8 KB

Overview

This skill delivers a compact, actionable framework for becoming a successful trader, covering strategy development, risk management, technical and fundamental analysis, and trading psychology. It organizes repeatable processes, templates, and metrics so traders can build, test, and improve systems with discipline and measurable outcomes. The emphasis is on risk-first decision making and process consistency.

How this skill works

It inspects a trader's setup by guiding creation of a written trading plan, position-sizing rules, stop-loss placement, and journal templates. It provides strategy blueprints (trend following, breakouts, mean reversion), multi-timeframe analysis rules, and key performance indicators to track. The skill also outlines daily routines, psychological traps to avoid, and adaptation rules for different market regimes.

When to use it

  • Designing or reviewing a written trading plan
  • Building position-sizing calculators and risk rules
  • Backtesting or choosing a strategy (trend, breakout, mean reversion)
  • Setting up a trading journal and monthly performance reviews
  • Advising on trade execution, stops, and profit targets

Best practices

  • Never risk more than 1–2% of capital per trade and always use a stop loss
  • Write a clear, measurable trading plan and follow it mechanically
  • Calculate position size with Risk Amount / (Entry − Stop) before every trade
  • Use multi-timeframe analysis: define trend on higher timeframe, enter on a shorter one
  • Journal every trade with rationale, emotions, and post-trade lessons for continuous improvement

Example use cases

  • Create a 1% risk-per-trade position size calculator for equities
  • Convert a daily trend-following template into executable entry/exit rules
  • Audit a trader's last 50 trades to compute win rate, expectancy, and profit factor
  • Build a pre-market checklist that includes economic events and risk limits
  • Design a backtest for a breakout strategy with volume confirmation

FAQ

Protect capital first: always use a stop loss and risk only a small percentage per trade.

How long should I paper trade before going live?

Paper trade for at least three months or until your system shows consistent edge and you can execute it without emotional deviation.

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successful-trader skill by openclaw/skills | VeilStrat