Skip to main content الرئيسية المنشئون johnalbertini14-glitch openclaw-skills trading-research
trading-research Binance cryptocurrency trading research, technical analysis, and position management. Triggers on requests for crypto prices, market data, trading analysis, DCA planning, position sizing, whale activity, or any trading research questions about Bitcoin, altcoins, or crypto markets.
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name trading-research description Binance cryptocurrency trading research, technical analysis, and position management. Triggers on requests for crypto prices, market data, trading analysis, DCA planning, position sizing, whale activity, or any trading research questions about Bitcoin, altcoins, or crypto markets.
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 riskDCA-focused : Time in market > timing the marketRisk management : Never risk more than 1-2% per tradeData-driven : Use technical indicators for confirmation, not predictionTransparent : 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 :
python3 scripts/binance_market.py --symbol BTCUSDT
python3 scripts/binance_market.py --symbol BTCUSDT --orderbook --depth 20
limit
limit
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.
python3 scripts/technical_analysis.py --symbol BTCUSDT
python3 scripts/technical_analysis.py --symbol BTCUSDT --interval 4h
python3 scripts/technical_analysis.py --symbol BTCUSDT --rsi-period 21
python3 scripts/technical_analysis.py --input btc_klines.json
python3 scripts/technical_analysis.py --symbol BTCUSDT --json
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.
python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180
python3 scripts/dca_calculator.py --total 10000 --frequency monthly --duration 365 --current-price 100000
python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --current-price 100000 --scenarios
python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --start-date 2026-03-01
python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --json
Frequencies : daily, weekly, biweekly, monthly
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.
python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000
python3 scripts/position_sizer.py --balance 10000 --risk 1 --entry 100000 --stop-loss 97000
python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000 --take-profit 2 3 5
python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000 --ladder 3
python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry 100000 --stop-loss 95000 --json
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
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.
python3 scripts/market_scanner.py
python3 scripts/market_scanner.py --gainers --limit 20
python3 scripts/market_scanner.py --volume
python3 scripts/market_scanner.py --volatile
python3 scripts/market_scanner.py --breakout
python3 scripts/market_scanner.py --min-volume 500000
python3 scripts/market_scanner.py --json
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.
python3 scripts/whale_tracker.py --symbol BTCUSDT
python3 scripts/whale_tracker.py --symbol BTCUSDT --trades
python3 scripts/whale_tracker.py --symbol BTCUSDT --orderbook
python3 scripts/whale_tracker.py --symbol BTCUSDT --orderbook --depth 50
python3 scripts/whale_tracker.py --symbol BTCUSDT --threshold 95
python3 scripts/whale_tracker.py --symbol BTCUSDT --json
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?"
python3 scripts/binance_market.py --symbol BTCUSDT --ticker
python3 scripts/technical_analysis.py --symbol BTCUSDT --interval 1h
"Should I buy now?"
python3 scripts/technical_analysis.py --symbol BTCUSDT
python3 scripts/whale_tracker.py --symbol BTCUSDT
python3 scripts/position_sizer.py --balance 10000 --risk 2 --entry <CURRENT_PRICE> --stop-loss <SUPPORT_LEVEL>
"Set up a DCA plan"
python3 scripts/dca_calculator.py --total 5000 --frequency weekly --duration 180 --current-price <CURRENT_PRICE> --scenarios
"Find me opportunities"
python3 scripts/market_scanner.py
python3 scripts/technical_analysis.py --symbol <PAIR>
python3 scripts/whale_tracker.py --symbol <PAIR>
"What's the market sentiment?"
python3 scripts/whale_tracker.py --symbol BTCUSDT
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
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
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
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
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:
Current State : Price, trend, key levelsTechnical View : Indicator readings and what they meanSentiment : Whale activity, volume, market pressureRecommendation : Buy/wait/sell with reasoningRisk Management : Position size, stop loss, take profit if applicableCaveats : What could go wrong, alternative scenarios
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 onlyNo 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
Check internet connection
Verify symbol format (uppercase, e.g., BTCUSDT not btc-usdt)
Check if Binance API accessible in user's location
Verify script path and Python availability
Check for typos in parameters
HTTP 451 : API blocked in location (suggest VPN)Invalid symbol : Check symbol exists on BinanceRate limit : Wait 60 seconds and retryConnection timeout : Network issue or API down
Best Practices
Always show your work : Display the command you ranInterpret results : Don't just dump data, explain what it meansContext matters : Different advice for day trade vs DCA accumulationRisk first : Mention risk management before entry signalsBe honest : If indicators conflict, say soUpdate knowledge : If market conditions changed, acknowledge itNo predictions : Frame as "if X then Y", not "X will happen"Show alternatives : Bull and bear case scenarios
Skill Maintenance
Testing Run each script monthly to ensure API compatibility:
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.
