trading-strategy
- Repo stars 6,018
- Author updated Live
- Author repo OctoBot
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @Drakkar-Software · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: trading-strategy
description: Use this skill for developing and evaluating trading strategies by synthesizing technical analys…
category: ai
runtime: no special runtime
---
# trading-strategy output preview
## PART A: Task fit
- Use case: Use this skill for developing and evaluating trading strategies by synthesizing technical analysis, market sentiment, and risk management principles into actionable trading recommendations. This skill provides comprehensive guidance on synthesizing multiple analyses into coherent trading strategies and actionable recommendations. Use this for final decisi….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Overview / Instructions / 1. Synthesize Multiple Signals” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Use this skill for developing and evaluating trading strategies by synthesizing technical analysis, market sentiment, and risk management principles into actionable trading recommendations. This skill provides comprehensive guidance on synthesizing multiple analyses into coherent trading strategies and actionable recommendations. Use this for final decisi…”.
- **02** When the source has headings, the agent prioritizes “Overview / Instructions / 1. Synthesize Multiple Signals” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Overview / Instructions / 1. Synthesize Multiple Signals”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: trading-strategy
description: Use this skill for developing and evaluating trading strategies by synthesizing technical analys…
category: ai
source: Drakkar-Software/OctoBot
---
# trading-strategy
## When to use
- Use this skill for developing and evaluating trading strategies by synthesizing technical analysis, market sentiment…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Overview / Instructions / 1. Synthesize Multiple Signals” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "trading-strategy" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Overview / Instructions / 1. Synthesize Multiple Signals
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} trading-strategy
Overview
This skill provides comprehensive guidance on synthesizing multiple analyses into coherent trading strategies and actionable recommendations. Use this for final decision-making and trade structuring.
Instructions
1. Synthesize Multiple Signals
Integrate analysis from different sources:
- Technical Analysis: Trend, momentum, support/resistance
- Sentiment Analysis: Market mood, fear/greed levels
- Real-Time Data: Order flow, liquidity, recent price action
Weight each component by:
- Confidence level (higher confidence = higher weight)
- Timeframe alignment (multiple timeframes agreeing)
- Signal strength (strong vs weak signals)
2. Resolve Conflicting Signals
When analyses disagree:
- Technical bullish, Sentiment bearish: Often means "buy the dip" if technical is strong
- Technical bearish, Sentiment bullish: Often means "sell the rally" if technical is strong
- Mixed timeframes: Defer to higher timeframe for trend direction
- Low confidence all around: Recommend staying out or reducing position size
3. Generate eval_note (-1 to 1 scale)
Strong Buy Signals (0.6 to 1.0)
- Multiple timeframes aligned bullish
- Technical indicators show strong uptrend
- Sentiment at extreme fear (contrarian buy)
- High confidence from all analyses
Moderate Buy (0.3 to 0.6)
- Majority of signals bullish
- Some conflicting indicators
- Medium confidence
- Trend supports upside
Neutral (−0.3 to 0.3)
- Mixed signals across analyses
- Ranging market conditions
- Low confidence or uncertainty
- Wait for clearer setup
Moderate Sell (−0.6 to −0.3)
- Majority of signals bearish
- Some conflicting indicators
- Medium confidence
- Trend supports downside
Strong Sell (−1.0 to −0.6)
- Multiple timeframes aligned bearish
- Technical indicators show strong downtrend
- Sentiment at extreme greed (contrarian sell)
- High confidence from all analyses
4. Risk Assessment
Consider before making recommendations:
- Volatility: High volatility = reduce position size
- Liquidity: Low liquidity = widen stops, smaller size
- Time in market: Newer trends are riskier
- Correlation: Diversification reduces risk
- Black swan risk: Extreme events possible
5. Position Sizing Guidelines
Based on confidence and volatility:
- High confidence, Low volatility: Larger positions (up to max allowed)
- High confidence, High volatility: Medium positions
- Medium confidence, Any volatility: Smaller positions
- Low confidence: Minimal or no position
6. Entry and Exit Strategy
Entry Points
- Strong signals: Enter on market orders or limit near current price
- Medium signals: Enter on pullbacks to support
- Weak signals: Scale in gradually
Stop Loss Placement
- Below recent swing low (for longs)
- Above recent swing high (for shorts)
- Below key moving averages
- Account for volatility (wider stops in volatile markets)
Take Profit Targets
- First target: 1-2 risk/reward ratio
- Second target: Major resistance/support level
- Final target: Trailing stop to ride trend
7. Timeframe Considerations
Short-term trading (minutes to hours)
- Focus on 1H and below timeframes
- More sensitive to real-time data and sentiment shifts
- Tighter stops and quicker exits
Medium-term trading (days to weeks)
- Focus on 4H and daily timeframes
- Align with daily trend direction
- Wider stops, let positions breathe
Long-term trading (weeks to months)
- Focus on daily and weekly timeframes
- Strong fundamental and macro support needed
- Very wide stops, focus on major trend
8. Market Regime Adaptation
Trending Markets
- Follow the trend direction
- Use pullbacks for entries
- Trail stops to ride trends
- Ignore minor counter-trend signals
Ranging Markets
- Fade extremes (sell highs, buy lows)
- Tighter profit targets
- Avoid trend-following strategies
- Reduce position sizes
Volatile Markets
- Wider stops to avoid whipsaws
- Smaller positions
- Quick profit taking
- Consider staying out if too chaotic
Output Format
When synthesizing into a trading recommendation, provide:
{
"eval_note": <float -1 to 1>,
"confidence": <float 0-1>,
"eval_note_description": "Comprehensive synthesis of all analyses with clear reasoning",
"key_factors": [
"Technical: Strong uptrend confirmed",
"Sentiment: Extreme fear (contrarian buy)",
"Real-time: Strong buying pressure"
],
"recommended_action": "BUY" | "SELL" | "HOLD",
"position_size": "FULL" | "MEDIUM" | "SMALL" | "NONE",
"entry_strategy": "Market order | Limit at X | Scale in on pullback",
"stop_loss": "Below X at Y",
"take_profit": ["First: X at R:R 1.5", "Second: Y at resistance", "Final: Trailing stop"]
}
Decision Framework
Strong Conviction Trade Checklist
- Multiple timeframes aligned
- 2+ independent confirmations
- Clear support/resistance levels identified
- Sentiment supports the move (or contrarian extreme)
- Risk/reward ratio > 2:1
- Market structure supportive
- Liquidity adequate
Trade Rejection Criteria
- Mixed signals with no clear edge
- Low confidence across analyses
- Highly uncertain market conditions
- Risk/reward ratio < 1.5:1
- Counter to strong higher timeframe trend
- Illiquid or highly manipulated market
Best Practices
- Never force trades: Wait for high-probability setups
- Quality over quantity: Fewer high-quality trades beat many mediocre trades
- Always know your exit: Plan stop loss and take profit before entry
- Manage risk first: Protect capital over maximizing gains
- Adapt to changing conditions: What works in trending markets fails in ranging markets
- Keep it simple: Complex strategies with many rules often underperform
- Document reasoning: Track what works and what doesn't
- Stay disciplined: Stick to your strategy and don't chase
- Cut losses quickly: Don't hope losing trades will reverse
- Let winners run: Trail stops on profitable positions
Common Mistakes to Avoid
- Over-trading in low-conviction setups
- Revenge trading after losses
- Moving stops further away (hoping for reversal)
- Adding to losing positions
- Taking profits too early on winning trades
- Ignoring risk management rules
- Trading against the higher timeframe trend
- Fighting the tape (market momentum)
- Letting emotions override analysis
- Failing to adapt strategy to market regime
Decide Fit First
Design Intent
How To Use It
Boundaries And Review