trading-research

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:

# 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:

# 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:

# 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:

# 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:

# 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:

# 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>