How do I install the Binance Spot Trader skill?

Run npx skillmds@latest add johnalbertini14-glitch/binance-spot-trader in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Binance Spot Trader safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Binance Spot Trader?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Binance Spot Trader free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Binance Spot Trader?

johnalbertini14-glitch (@johnalbertini14-glitch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Binance Spot Trader by johnalbertini14-glitch

Name: Binance Spot Trader
Rating: 4.2 (5 reviews)
Author: johnalbertini14-glitch

Binance Spot Trader

Autonomous Binance spot trading bot with LLM-powered market analysis. Supports momentum trading, mean reversion, and DCA strategies on any Binance spot pair. Use when user wants to trade on Binance, set up automated crypto trading, build a spot trading bot, or automate DCA buying. Features technical analysis, LLM sentiment evaluation, position sizing, and portfolio tracking.

File contents

Binance Spot Trader

Autonomous spot trading bot for Binance. Combines technical indicators with LLM-powered market sentiment analysis to execute trades on any Binance spot pair.

Prerequisites

Binance account with API keys (spot trading enabled, withdrawal DISABLED)
Anthropic API key (uses Haiku ~$0.001/eval)
Python 3.10+

Setup

1. Install

bash {baseDir}/scripts/setup.sh

2. Configure

Create .env:

BINANCE_API_KEY=<your-api-key>
BINANCE_SECRET_KEY=<your-secret-key>
LLM_API_KEY=<anthropic-api-key>
PAIRS=BTCUSDT,ETHUSDT,SOLUSDT
STRATEGY=momentum
TRADE_SIZE_PCT=5
MAX_POSITIONS=5

3. Run

python3 {baseDir}/scripts/trader.py

Or via cron:

*/5 * * * * cd /opt/trader && python3 trader.py >> trader.log 2>&1

Strategies

Momentum (default)

Buys when price crosses above 20-EMA with volume spike
Sells when price crosses below 20-EMA or hits TP/SL
Best for trending markets (BTC, ETH, SOL)

Mean Reversion

Buys when RSI < 30 (oversold) and price near Bollinger Band lower
Sells when RSI > 70 (overbought) or price near upper band
Best for range-bound markets

DCA (Dollar Cost Average)

Buys fixed amount at regular intervals regardless of price
Configurable interval (hourly, daily, weekly)
Lowest risk strategy for long-term accumulation

LLM-Enhanced (all strategies)

Before each trade, asks Claude Haiku for market sentiment
Evaluates: recent news, price action, volume patterns, market structure
Can veto a trade signal if sentiment is strongly against

Trading Parameters

Parameter	Default	Description
`PAIRS`	`BTCUSDT`	Comma-separated trading pairs
`STRATEGY`	`momentum`	`momentum`, `mean_reversion`, or `dca`
`TRADE_SIZE_PCT`	`5`	% of portfolio per trade
`MAX_POSITIONS`	`5`	Max concurrent open positions
`TAKE_PROFIT_PCT`	`5`	Take profit %
`STOP_LOSS_PCT`	`3`	Stop loss %
`DCA_INTERVAL`	`daily`	For DCA: `hourly`, `daily`, `weekly`
`DCA_AMOUNT_USDT`	`50`	USDT per DCA buy
`USE_LLM`	`true`	Enable LLM sentiment filter

Monitoring

# Check portfolio
python3 {baseDir}/scripts/portfolio.py

# View trade history
tail -50 trades.jsonl

# Check logs
tail -f trader.log

⚠️ Security Considerations

NEVER enable withdrawal on API keys — trading only
IP-restrict your API keys on Binance
Use a sub-account with limited funds for bot trading
Start with tiny amounts ($50-100) and paper trade first
Monitor actively during first 24 hours
Set up Binance email alerts for all trades
API keys on disk — secure your server (SSH keys only, firewall, chmod 600)

References

See references/binance-api.md for REST API docs
See references/indicators.md for technical analysis details

---name: binance-spot-traderdescription: Autonomous Binance spot trading bot with LLM-powered market analysis. Supports momentum trading, mean reversion, and DCA strategies on any Binance spot pair. Use when user wants to trade on Binance, set up automated crypto trading, build a spot trading bot, or automate DCA buying. Features technical analysis, LLM sentiment evaluation, position sizing, and portfolio tracking.--- # Binance Spot Trader Autonomous spot trading bot for Binance. Combines technical indicators with LLM-powered market sentiment analysis to execute trades on any Binance spot pair. ## Prerequisites - **Binance account** with API keys (spot trading enabled, withdrawal DISABLED) - **Anthropic API key** (uses Haiku ~$0.001/eval) - Python 3.10+ ## Setup ### 1. Install ```bash bash {baseDir}/scripts/setup.sh ``` ### 2. Configure Create `.env`: ``` BINANCE_API_KEY=<your-api-key> BINANCE_SECRET_KEY=<your-secret-key> LLM_API_KEY=<anthropic-api-key> PAIRS=BTCUSDT,ETHUSDT,SOLUSDT STRATEGY=momentum TRADE_SIZE_PCT=5 MAX_POSITIONS=5 ``` ### 3. Run ```bash python3 {baseDir}/scripts/trader.py ``` Or via cron: ``` */5 * * * * cd /opt/trader && python3 trader.py >> trader.log 2>&1 ``` ## Strategies ### Momentum (default) - Buys when price crosses above 20-EMA with volume spike - Sells when price crosses below 20-EMA or hits TP/SL - Best for trending markets (BTC, ETH, SOL) ### Mean Reversion - Buys when RSI < 30 (oversold) and price near Bollinger Band lower - Sells when RSI > 70 (overbought) or price near upper band - Best for range-bound markets ### DCA (Dollar Cost Average) - Buys fixed amount at regular intervals regardless of price - Configurable interval (hourly, daily, weekly) - Lowest risk strategy for long-term accumulation ### LLM-Enhanced (all strategies) - Before each trade, asks Claude Haiku for market sentiment - Evaluates: recent news, price action, volume patterns, market structure - Can veto a trade signal if sentiment is strongly against ## Trading Parameters | Parameter | Default | Description | |-----------|---------|-------------| | `PAIRS` | `BTCUSDT` | Comma-separated trading pairs | | `STRATEGY` | `momentum` | `momentum`, `mean_reversion`, or `dca` | | `TRADE_SIZE_PCT` | `5` | % of portfolio per trade | | `MAX_POSITIONS` | `5` | Max concurrent open positions | | `TAKE_PROFIT_PCT` | `5` | Take profit % | | `STOP_LOSS_PCT` | `3` | Stop loss % | | `DCA_INTERVAL` | `daily` | For DCA: `hourly`, `daily`, `weekly` | | `DCA_AMOUNT_USDT` | `50` | USDT per DCA buy | | `USE_LLM` | `true` | Enable LLM sentiment filter | ## Monitoring ```bash # Check portfolio python3 {baseDir}/scripts/portfolio.py # View trade history tail -50 trades.jsonl # Check logs tail -f trader.log ``` ## ⚠️ Security Considerations - **NEVER enable withdrawal on API keys** — trading only - **IP-restrict your API keys** on Binance - Use a sub-account with limited funds for bot trading - Start with tiny amounts ($50-100) and paper trade first - Monitor actively during first 24 hours - Set up Binance email alerts for all trades - **API keys on disk** — secure your server (SSH keys only, firewall, chmod 600) ## References - See `references/binance-api.md` for REST API docs - See `references/indicators.md` for technical analysis details

Frequently asked questions

Binance Spot Trader

File contents

Binance Spot Trader

Prerequisites

Setup

1. Install

2. Configure

3. Run

Strategies

Momentum (default)

Mean Reversion

DCA (Dollar Cost Average)

LLM-Enhanced (all strategies)

Trading Parameters

Monitoring

⚠️ Security Considerations

References

Related skills

Frequently asked questions

How do I install the Binance Spot Trader skill?

What does the Binance Spot Trader skill do?

Is Binance Spot Trader safe to use?

Which AI agents work with Binance Spot Trader?

Is Binance Spot Trader free to use?

Who published Binance Spot Trader?