Trading Research Skill

Comprehensive cryptocurrency trading research and analysis focused on Binance markets. Designed for conservative-moderate risk traders using DCA (Dollar Cost Averaging) strategies with technical analysis support.

When to Use This Skill

Activate when user requests: - Current crypto prices or market data - Technical analysis (RSI, MACD, Bollinger Bands, etc.) - DCA strategy planning or schedule calculation - Position sizing with risk management - Market scanning for opportunities - Whale tracking or large order monitoring - Trading strategy advice or risk assessment

Core Philosophy

• Conservative first: Preserve capital, minimize risk
• DCA-focused: Time in market > timing the market
• Risk management: Never risk more than 1-2% per trade
• Data-driven: Use technical indicators for confirmation, not prediction
• Transparent: Show calculations, explain reasoning

Available Tools

1. Market Data (binance_market.py)

Fetch real-time Binance market data.

Use when: User asks for price, volume, orderbook, recent trades, or funding rates.

Common commands: ```bash

Current price and 24h stats (default)

python3 scripts/binance_market.py --symbol BTCUSDT

Orderbook depth

python3 scripts/binance_market.py --symbol BTCUSDT --orderbook --depth 20

Candlestick data

python3 scripts/binance_market.py --symbol BTCUSDT --klines 1h --limit 100

Recent trades

python3 scripts/binance_market.py --symbol BTCUSDT --trades --limit 100

Funding rate (futures)

python3 scripts/binance_market.py --symbol BTCUSDT --funding

All data at once

python3 scripts/binance_market.py --symbol BTCUSDT --all

JSON output (for piping)

python3 scripts/binance_market.py --symbol BTCUSDT --json > btc_data.json ```

Intervals: 1m, 5m, 15m, 30m, 1h, 4h, 1d, 1w

2. Technical Analysis (technical_analysis.py)

Calculate and interpret technical indicators.

Use when: User asks for TA, indicators, buy/sell signals, or market analysis.

Common commands: ```bash

Full analysis (default: 1h timeframe, 200 candles)

python3 scripts/technical_analysis.py --symbol BTCUSDT

Different timeframe

python3 scripts/technical_analysis.py --symbol BTCUSDT --interval 4h

Custom RSI period

python3 scripts/technical_analysis.py --symbol BTCUSDT --rsi-period 21

From saved klines JSON

python3 scripts/technical_analysis.py --input btc_klines.json

JSON output

python3 scripts/technical_analysis.py --symbol BTCUSDT --json ```

What it analyzes: - Trend direction (SMA 20/50, EMA 12/26) - RSI (14) - overbought/oversold - MACD - momentum and crossovers - Bollinger Bands - volatility and position - Support/resistance levels - Volume analysis - Trading signals and recommendations

3. DCA Calculator (dca_calculator.py)

Plan Dollar Cost Averaging strategies.

Use when: User wants to set up DCA, calculate investment schedules, or compare strategies.

Common commands: ```bash

Basic DCA plan

python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180

With current price for projections

python3 scripts/dca_calculator.py --total 10000 --frequency monthly --duration 365 --current-price 100000

Show scenario analysis

python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --current-price 100000 --scenarios

Custom start date

python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --start-date 2026-03-01

JSON output

python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --json ```

Frequencies: daily, weekly, biweekly, monthly

Output includes: - Purchase schedule with dates and amounts - Number of purchases and amount per purchase - Scenario analysis (flat, bull, bear markets) - Comparison to lump sum approach

4. Position Sizer (position_sizer.py)

Calculate safe position sizes using risk management rules.

Use when: User wants to enter a trade and needs to know position size, stop loss, or take profit levels.

Common commands: ```bash

Basic position sizing (2% risk recommended)

python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000

Conservative 1% risk

python3 scripts/position_sizer.py --balance 10000 --risk 1 --entry 100000 --stop-loss 97000

Custom take-profit ratios

python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000 --take-profit 2 3 5

Ladder strategy (scaling in)

python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000 --ladder 3

JSON output

python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000 --json ```

Output includes: - Position size in units and dollar value - Risk amount in dollars - Stop loss percentage - Take profit levels at multiple R:R ratios - Position as percentage of account - Warnings if position too large

Rules: - Conservative: Risk 1% per trade - Moderate: Risk 2% per trade - Never exceed 3% risk per trade - Position should be <50% of account

5. Market Scanner (market_scanner.py)

Scan all Binance USDT pairs for opportunities.

Use when: User wants to find top movers, volume spikes, or new opportunities.

Common commands: ```bash

Full market scan (default)

python3 scripts/market_scanner.py

Top gainers only

python3 scripts/market_scanner.py --gainers --limit 20

High volume pairs

python3 scripts/market_scanner.py --volume

Most volatile pairs

python3 scripts/market_scanner.py --volatile

Breakout candidates (near 24h high with volume)

python3 scripts/market_scanner.py --breakout

Filter by minimum volume

python3 scripts/market_scanner.py --min-volume 500000

JSON output

python3 scripts/market_scanner.py --json ```

Categories scanned: - Top gainers (24h price change) - Top losers (24h price change) - Highest volume pairs - Most volatile pairs (high-low spread) - Potential breakouts (near 24h high + volume)

6. Whale Tracker (whale_tracker.py)

Monitor large trades and orderbook imbalances.

Use when: User asks about whale activity, large orders, or orderbook pressure.

Common commands: ```bash

Full whale analysis (default)

python3 scripts/whale_tracker.py --symbol BTCUSDT

Large trades only

python3 scripts/whale_tracker.py --symbol BTCUSDT --trades

Orderbook imbalances only

python3 scripts/whale_tracker.py --symbol BTCUSDT --orderbook

Custom orderbook depth

python3 scripts/whale_tracker.py --symbol BTCUSDT --orderbook --depth 50

Adjust threshold (default 90th percentile)

python3 scripts/whale_tracker.py --symbol BTCUSDT --threshold 95

JSON output

python3 scripts/whale_tracker.py --symbol BTCUSDT --json ```

Output includes: - Large trades (top 10% by value) - Buy vs sell pressure from large trades - Orderbook bid/ask imbalance - Orderbook walls (large orders) - Market sentiment (bullish/bearish/neutral)

Quick Start Workflows

"What's BTC doing?"

# Get overview
python3 scripts/binance_market.py --symbol BTCUSDT --ticker

# Technical analysis
python3 scripts/technical_analysis.py --symbol BTCUSDT --interval 1h

"Should I buy now?"

# Check technicals first
python3 scripts/technical_analysis.py --symbol BTCUSDT

# Check whale activity
python3 scripts/whale_tracker.py --symbol BTCUSDT

# If signals look good, calculate position size
python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry <CURRENT_PRICE> --stop-loss <SUPPORT_LEVEL>

"Set up a DCA plan"

# Plan the strategy
python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --current-price <CURRENT_PRICE> --scenarios

# Show them the schedule and explain

"Find me opportunities"

# Scan market
python3 scripts/market_scanner.py

# For interesting pairs, do deeper analysis
python3 scripts/technical_analysis.py --symbol <PAIR>
python3 scripts/whale_tracker.py --symbol <PAIR>

"What's the market sentiment?"

# Check whale activity
python3 scripts/whale_tracker.py --symbol BTCUSDT

# Check volume and volatility
python3 scripts/market_scanner.py --volume --volatile

Reference Materials

Located in references/ directory:

binance-api.md

• API endpoints and parameters
• Rate limits
• Authentication for signed requests
• Order types and time-in-force
• Error codes
• Python examples

Use when: Need API details, building custom queries, or troubleshooting

indicators.md

• Technical indicator formulas
• Interpretation guidelines
• Common settings per timeframe
• Combining indicators
• Reliability assessment
• Common mistakes

Use when: Explaining indicators, interpreting signals, or educating user

strategies.md

• DCA variations (fixed, value-based, RSI-based, ladder)
• Risk management (1-2% rule, stop loss strategies)
• Trend following strategies
• Entry/exit strategies
• Position sizing examples
• Performance tracking

Use when: Planning trades, explaining strategies, or risk management questions

Trading Guidance

For Conservative Traders

DCA Approach: - Start with weekly or monthly purchases - Fixed amount: $50-200 per purchase - Duration: 6-12 months minimum - Don't try to time the market - Accumulate and hold long-term

Risk Management: - No leverage - 50%+ of account in cash/stablecoins - Risk 1% per trade maximum - Only trade with 3+ confirmations - Stop losses always active

For Moderate Risk Traders

Enhanced DCA: - Adjust amounts based on RSI (buy more when oversold) - Use technical analysis for better entries - 60-70% DCA, 30-40% active trading - Risk 2% per trade on active positions

Position Trading: - Wait for confluence of indicators - Use position_sizer.py for every trade - Risk:Reward ratio minimum 2:1 - Trail stops as profit grows

Red Flags (Don't Trade)

• RSI >70 and rising (overbought)
• Low volume breakout (likely false)
• Against major trend (don't short bull market)
• Multiple indicators conflicting
• No clear support level for stop loss
• Risk:Reward ratio <1.5:1
• During extreme fear or greed

Response Format

When user asks for analysis:

1. Current State: Price, trend, key levels
2. Technical View: Indicator readings and what they mean
3. Sentiment: Whale activity, volume, market pressure
4. Recommendation: Buy/wait/sell with reasoning
5. Risk Management: Position size, stop loss, take profit if applicable
6. Caveats: What could go wrong, alternative scenarios

Always include: - Specific numbers (don't just say "oversold", say "RSI at 28") - Risk warnings for trades - Clear next steps - Timeframe context (day trade vs swing trade vs long-term)

Important Notes

API Access

• All scripts use Binance public API (no authentication needed for data)
• Respect rate limits (built into scripts)
• If API blocked by geo-restrictions, scripts will error gracefully

Limitations

• No trading execution: These tools are for research only
• No real-time WebSocket: Data is snapshot-based (REST API)
• No futures-specific features: Primarily spot market focused (except funding rates)
• No backtesting engine: Manual strategy evaluation

Authentication Required For

• Placing orders
• Checking account balance
• Viewing open orders
• Accessing trade history

Note: Guide users to Binance API documentation (see references/binance-api.md) for authenticated trading setup.

Error Handling

If script fails: 1. Check internet connection 2. Verify symbol format (uppercase, e.g., BTCUSDT not btc-usdt) 3. Check if Binance API accessible in user's location 4. Verify script path and Python availability 5. Check for typos in parameters

Common errors: - HTTP 451: API blocked in location (suggest VPN) - Invalid symbol: Check symbol exists on Binance - Rate limit: Wait 60 seconds and retry - Connection timeout: Network issue or API down

Best Practices

1. Always show your work: Display the command you ran
2. Interpret results: Don't just dump data, explain what it means
3. Context matters: Different advice for day trade vs DCA accumulation
4. Risk first: Mention risk management before entry signals
5. Be honest: If indicators conflict, say so
6. Update knowledge: If market conditions changed, acknowledge it
7. No predictions: Frame as "if X then Y", not "X will happen"
8. Show alternatives: Bull and bear case scenarios

Skill Maintenance

Testing

Run each script monthly to ensure API compatibility: bash python3 scripts/binance_market.py --symbol BTCUSDT --help python3 scripts/technical_analysis.py --help python3 scripts/dca_calculator.py --help python3 scripts/position_sizer.py --help python3 scripts/market_scanner.py --help python3 scripts/whale_tracker.py --help

Updates Needed If

• Binance changes API endpoints
• New technical indicators requested
• Additional risk management tools needed
• User feedback suggests improvements

Remember: This skill helps users make informed decisions. It does not make decisions for them. Always emphasize personal responsibility and risk disclosure.