Lesson 22: Pre-Live Trading Checklist
⏱ Duration: 2 hours
🎯 Learning Objectives: Ensure complete preparation before entering live trading through systematic checklist
Course Overview
Live trading is a major decision involving real fund risks. Even if the strategy performs well in backtests and Dry-run, we must not be careless.
Core Philosophy of This Lesson:
Better wait one more day than rush one second.
A complete pre-live trading check should cover the following six dimensions:
- ✅ Strategy Validation
- ✅ Technical Preparation
- ✅ Risk Management
- ✅ Fund Management
- ✅ Monitoring Mechanism
- ✅ Psychological Preparation
Part 1: Strategy Validation Check
1.1 Backtest Performance Check
□ Sufficient backtest period (at least 3 months)
- Start date: __________
- End date: __________
- Duration: __________
□ Backtest results meet expectations
- Total return: __________%
- Annualized return: __________%
- Win rate: __________%
- Maximum drawdown: __________%
- Sharpe ratio: __________
□ Key indicators meet standards
✅ Total return > 10%
✅ Win rate > 50%
✅ Maximum drawdown < 20%
✅ Profit/loss ratio > 1.5
✅ Sharpe > 1.0
□ Experienced different market environments
✅ Uptrend
✅ Downtrend
✅ Sideways consolidation
✅ High volatility period
✅ Low volatility period
Backtest Quality Assessment
Use the following standards to assess backtest reliability:
| Metric | Excellent | Good | Average | Failing |
|---|---|---|---|---|
| Total Return | >30% | 20-30% | 10-20% | <10% |
| Annualized Return | >50% | 30-50% | 15-30% | <15% |
| Win Rate | >60% | 55-60% | 50-55% | <50% |
| Maximum Drawdown | <10% | 10-15% | 15-20% | >20% |
| Sharpe Ratio | >2.0 | 1.5-2.0 | 1.0-1.5 | <1.0 |
| Trade Count | >100 | 50-100 | 20-50 | <20 |
Judgment Criteria:
- ✅ Ready for live: All indicators reach "Good" or above
- ⚠️ Proceed with caution: Most indicators "Good", few "Average"
- ❌ Not suitable for live: Any indicator "Failing", or most "Average"
1.2 Dry-run Validation Check
□ Sufficient Dry-run period
- Start date: __________
- End date: __________
- Duration: __________ days (minimum 7 days)
□ Dry-run performance check
- Total return: __________%
- Win rate: __________%
- Trade count: __________
- Maximum drawdown: __________%
□ Comparison with backtest
- Return difference: __________% (acceptable range: ±50%)
- Win rate difference: __________% (acceptable range: ±15%)
- Drawdown difference: __________% (acceptable range: within 1.5x)
□ System stability check
✅ No crashes or restarts
✅ No missing data
✅ No abnormal orders
✅ No serious errors in logs
Dry-run vs Backtest Comparative Analysis
Create a comparison table:
Metric | Backtest | Dry-run | Difference | Acceptable
--------------------|-----------|---------|-------------|------------
Total Return (%) | 25.5 | 18.2 | -28.6% | ✅ (within ±50%)
Win Rate (%) | 62.0 | 56.0 | -6.0% | ✅ (within ±15%)
Avg Profit (USDT) | 3.50 | 2.80 | -20.0% | ✅
Avg Loss (USDT) | -2.00 | -2.30 | +15.0% | ⚠️ (slightly worse)
P/L Ratio | 1.75 | 1.22 | -30.3% | ⚠️ (needs attention)
Max Drawdown (%) | -12.5 | -16.8 | +34.4% | ✅ (within 1.5x)
Trades/Day | 4.2 | 3.5 | -16.7% | ✅
Avg Holding Time (h) | 5.2 | 6.1 | +17.3% | ✅
Overall Assessment: ✅ Ready for small capital live trading
1.3 Strategy Logic Check
□ Strategy logic clear
- Entry conditions clear and theoretically supported
- Exit conditions clear and theoretically supported
- Indicator parameters verified through optimization
- No obvious logical flaws
□ Code quality check
- Code readability good
- No syntax errors
- No runtime errors
- Key logic has comments
□ Boundary condition handling
- Handle missing data situations
- Handle extreme price fluctuations
- Handle exchange API rate limits
- Handle network interruptions
□ Overfitting check
- Use out-of-sample testing
- Limited parameter adjustments (<5 times)
- Strategy logic simple and intuitive
- Consistent performance across different time periods
Part 2: Technical Preparation Check
2.1 Server Environment Check
□ Sufficient hardware resources
- CPU usage < 50%
- Memory usage < 70%
- Disk space > 10GB
- Network latency < 100ms
□ Stable software environment
- Python version: __________ (recommended 3.8-3.11)
- Freqtrade version: __________ (latest stable)
- Dependencies completely installed
- No dependency conflicts
□ System stability
- Server正常运行时间 > 30 days
- No frequent restarts
- No system errors
- Timezone setting correct (UTC)
Environment Check Script
Create check_environment.sh:
#!/bin/bash
# Pre-live environment check script
echo "=== Freqtrade Environment Check ==="
echo ""
# 1. Python version
echo "1. Python version check"
python3 --version
echo ""
# 2. Freqtrade version
echo "2. Freqtrade version check"
freqtrade --version
echo ""
# 3. Disk space
echo "3. Disk space check"
df -h | grep -E "Filesystem|/$"
echo ""
# 4. Memory usage
echo "4. Memory usage check"
free -h
echo ""
# 5. CPU load
echo "5. CPU load check"
uptime
echo ""
# 6. Network connection
echo "6. Network connection check"
ping -c 3 api.binance.com | tail -1
echo ""
# 7. API connection test
echo "7. API connection test"
freqtrade test-pairlist -c config.json | head -5
echo ""
# 8. Database check
echo "8. Database check"
ls -lh tradesv3.sqlite 2>/dev/null || echo "Database file does not exist"
echo ""
# 9. Log file check
echo "9. Log file check"
ls -lh logs/ 2>/dev/null || echo "Log directory does not exist"
echo ""
echo "=== Check Complete ==="
Run check:
chmod +x check_environment.sh
./check_environment.sh
2.2 API Configuration Check
□ API Key configuration correct
- API Key and Secret are set
- Use environment variables or private configuration files
- .env or config.private.json added to .gitignore
□ API permission settings
✅ Read permissions enabled
✅ Spot trading permissions enabled
❌ Withdrawal permissions disabled
❌ Unnecessary permissions disabled
□ IP whitelist configuration
- IP whitelist enabled
- Server IP: __________
- IP in whitelist: __________
- Both consistent: □ Yes □ No
□ API connection test
- Can get balance: □ Yes □ No
- Can get market data: □ Yes □ No
- Can place orders (Dry-run): □ Yes □ No
- Latency normal (<500ms): □ Yes □ No
API Connection Test Script
Create test_api.py:
#!/usr/bin/env python3
"""
Complete API connection test script
"""
import ccxt
import time
import os
from datetime import datetime
# Configuration (read from environment variables)
EXCHANGE = 'binance'
API_KEY = os.getenv('BINANCE_API_KEY')
API_SECRET = os.getenv('BINANCE_API_SECRET')
def test_connection():
"""Test API connection"""
print("=== API Connection Test ===\n")
try:
# Initialize exchange
exchange = ccxt.binance({
'apiKey': API_KEY,
'secret': API_SECRET,
'enableRateLimit': True,
})
# Test 1: Get server time
print("1. Testing server connection...")
start_time = time.time()
server_time = exchange.fetch_time()
latency = (time.time() - start_time) * 1000
print(f" ✅ Connection successful")
print(f" Server time: {datetime.fromtimestamp(server_time/1000)}")
print(f" Latency: {latency:.2f}ms\n")
# Test 2: Get account balance
print("2. Testing account balance retrieval...")
balance = exchange.fetch_balance()
usdt_balance = balance['USDT']['free']
print(f" ✅ Balance retrieval successful")
print(f" Available USDT: {usdt_balance:.2f}\n")
# Test 3: Get market data
print("3. Testing market data retrieval...")
ticker = exchange.fetch_ticker('BTC/USDT')
print(f" ✅ Market data retrieval successful")
print(f" BTC/USDT price: {ticker['last']:.2f}\n")
# Test 4: Get K-line data
print("4. Testing K-line data retrieval...")
ohlcv = exchange.fetch_ohlcv('BTC/USDT', '5m', limit=10)
print(f" ✅ K-line data retrieval successful")
print(f" Retrieved {len(ohlcv)} K-lines\n")
# Test 5: Check API permissions
print("5. Testing API permissions...")
try:
# Try to get order history (requires read permission)
orders = exchange.fetch_orders('BTC/USDT', limit=1)
print(f" ✅ Read permissions normal\n")
except Exception as e:
print(f" ❌ Read permission abnormal: {e}\n")
print("=== All Tests Passed ===")
return True
except Exception as e:
print(f"❌ Test failed: {e}")
return False
if __name__ == '__main__':
if not API_KEY or not API_SECRET:
print("Error: Please set environment variables BINANCE_API_KEY and BINANCE_API_SECRET")
exit(1)
test_connection()
Run test:
source .env
python3 test_api.py
2.3 Configuration File Check
□ config.json configuration check
- Exchange name: __________
- Trading pair list: __________
- Timeframe: __________
- Maximum open positions: __________
- Stake amount per trade: __________
□ Key parameter check
- dry_run: false (live mode)
- stake_currency: USDT
- stake_amount: __________ (recommended 100-500)
- max_open_trades: __________ (recommended 3-5)
□ Stop loss and take profit settings
- stoploss: __________% (recommended -2% to -5%)
- trailing_stop: __________ (optional)
- roi: __________ (optional)
□ Protection mechanisms
- StopLossGuard: □ Enabled □ Disabled
- MaxDrawdown: □ Enabled □ Disabled
- LowProfitPairs: □ Enabled □ Disabled
Configuration File Template (Live)
Create config.live.json:
{
"max_open_trades": 3,
"stake_currency": "USDT",
"stake_amount": 100,
"tradable_balance_ratio": 0.99,
"fiat_display_currency": "USD",
"dry_run": false,
"cancel_open_orders_on_exit": false,
"unfilledtimeout": {
"entry": 10,
"exit": 30
},
"entry_pricing": {
"price_side": "same",
"use_order_book": true,
"order_book_top": 1,
"price_last_balance": 0.0,
"check_depth_of_market": {
"enabled": false,
"bids_to_ask_delta": 1
}
},
"exit_pricing": {
"price_side": "same",
"use_order_book": true,
"order_book_top": 1
},
"exchange": {
"name": "binance",
"key": "${BINANCE_API_KEY}",
"secret": "${BINANCE_API_SECRET}",
"ccxt_config": {
"enableRateLimit": true,
"rateLimit": 200
},
"ccxt_async_config": {
"enableRateLimit": true,
"rateLimit": 200
},
"pair_whitelist": [
"BTC/USDT",
"ETH/USDT",
"BNB/USDT"
],
"pair_blacklist": []
},
"pairlists": [
{
"method": "StaticPairList"
}
],
"telegram": {
"enabled": true,
"token": "${TELEGRAM_TOKEN}",
"chat_id": "${TELEGRAM_CHAT_ID}",
"notification_settings": {
"status": "silent",
"warning": "on",
"startup": "on",
"entry": "on",
"entry_fill": "silent",
"entry_cancel": "on",
"exit": "on",
"exit_fill": "on",
"exit_cancel": "on",
"protection_trigger": "on",
"protection_trigger_global": "on"
}
},
"api_server": {
"enabled": true,
"listen_ip_address": "127.0.0.1",
"listen_port": 8080,
"verbosity": "error",
"enable_openapi": false,
"jwt_secret_key": "your-secret-key",
"CORS_origins": [],
"username": "freqtrader",
"password": "your-password"
},
"bot_name": "freqtrade-live",
"initial_state": "running",
"force_entry_enable": false,
"internals": {
"process_throttle_secs": 5
}
}
2.4 Backup Mechanism Check
□ Database backup
- Backup script created
- Automatic backup configured
- Backup location: __________
- Backup frequency: __________
□ Configuration file backup
- All configuration files backed up
- Backup location: __________
□ Strategy code backup
- Strategy files backed up
- Version control (Git) in use
- Remote repository pushed
□ Recovery process test
- Backup can be restored normally
- Recovery time < 10 minutes
- Recovery process documented
Automatic Backup Script
Create backup.sh:
#!/bin/bash
# Automatic backup script
BACKUP_DIR="$HOME/freqtrade_backups"
DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_PATH="$BACKUP_DIR/backup_$DATE"
# Create backup directory
mkdir -p "$BACKUP_PATH"
echo "Starting backup: $DATE"
# Backup database
echo "Backing up database..."
cp tradesv3.sqlite "$BACKUP_PATH/" 2>/dev/null
# Backup configuration files
echo "Backing up configuration files..."
cp config.json "$BACKUP_PATH/" 2>/dev/null
cp config.live.json "$BACKUP_PATH/" 2>/dev/null
# Backup strategy files
echo "Backing up strategy files..."
cp -r user_data/strategies "$BACKUP_PATH/" 2>/dev/null
# Backup logs
echo "Backing up recent logs..."
cp -r logs "$BACKUP_PATH/" 2>/dev/null
# Delete backups older than 30 days
find "$BACKUP_DIR" -name "backup_*" -mtime +30 -exec rm -rf {} \; 2>/dev/null
echo "Backup complete: $BACKUP_PATH"
echo "Backup size: $(du -sh $BACKUP_PATH | cut -f1)"
Set daily automatic backup:
# Add to crontab
crontab -e
# Daily backup at 2 AM
0 2 * * * /path/to/backup.sh >> /path/to/backup.log 2>&1
Part 3: Risk Management Check
3.1 Stop Loss Settings Check
□ Global stop loss settings
- Stop loss percentage: __________% (recommended -2% to -5%)
- Trailing stop: □ Enabled □ Disabled
- Trailing stop trigger: __________% (if enabled)
□ Stop loss testing
- Verified stop loss effective in Dry-run
- Stop loss triggers correct position closing
- Stop loss trigger has Telegram notification
□ Emergency stop loss
- Maximum loss limit: __________% (recommended -10%)
- Automatic trading stop when limit reached
- Emergency contact prepared
3.2 Position Management Check
□ Single trade amount
- Stake per trade: __________ USDT
- Percentage of total funds: __________%
- Recommended proportion: 10-20% (initial)
□ Maximum position limit
- Maximum positions: __________
- Maximum position value: __________ USDT
- Percentage of total funds: __________%
- Recommended proportion: 30-50% (initial)
□ Fund utilization rate
- Funds used for trading: __________ USDT
- Total funds: __________ USDT
- Utilization rate: __________%
- Recommended utilization: 50-70%
Position Calculator
# Position management calculation
# Input parameters
total_capital = 10000 # Total capital (USDT)
risk_per_trade = 0.02 # Single trade risk (2%)
stop_loss = 0.03 # Stop loss range (3%)
max_open_trades = 3 # Maximum positions
# Calculate
position_size = (total_capital * risk_per_trade) / stop_loss
max_position_value = position_size * max_open_trades
capital_usage = max_position_value / total_capital
print(f"Total capital: {total_capital} USDT")
print(f"Stake per trade: {position_size:.2f} USDT")
print(f"Maximum position value: {max_position_value:.2f} USDT")
print(f"Capital usage: {capital_usage*100:.1f}%")
# Output example:
# Total capital: 10000 USDT
# Stake per trade: 666.67 USDT
# Maximum position value: 2000.00 USDT
# Capital usage: 20.0%
3.3 Protection Mechanism Check
□ StopLossGuard configuration
- Enabled: □ Yes □ No
- Trigger conditions: __________ stop losses
- Lock time: __________ minutes
□ MaxDrawdown protection
- Enabled: □ Yes □ No
- Maximum drawdown limit: __________%
- Action after trigger: □ Stop buying □ Close all positions
□ LowProfitPairs protection
- Enabled: □ Yes □ No
- Profit threshold: __________%
- Observation period: __________ days
Part 4: Fund Management Check
4.1 Initial Fund Planning
□ Fund allocation plan
- Total funds: __________ USDT
- For live testing: __________ USDT (recommended 10-20%)
- Reserved funds: __________ USDT
□ Initial fund recommendations
✅ Minimum recommendation: 1000 USDT
✅ Recommended amount: 3000-5000 USDT
✅ Use funds you can afford to lose
✅ Do not use borrowed funds
□ Fund security
- Exchange account security measures completed
- Most funds stored in cold wallet
- Keep only necessary funds on exchange
4.2 Profit Target Setting
□ Short-term goals (1 month)
- Target return rate: __________%
- Acceptable maximum drawdown: __________%
- Expected trade count: __________
□ Medium-term goals (3 months)
- Target return rate: __________%
- Acceptable maximum drawdown: __________%
□ Long-term goals (1 year)
- Target annualized return: __________%
□ Take profit and stop loss rules
- When target reached: □ Partial take profit □ Full take profit □ Continue running
- Stop trading when loss reaches _______%, re-evaluate
Realistic Profit Targets
Monthly profit target recommendations:
✅ Conservative: 3-5% (annualized 36-60%)
✅ Moderate: 5-10% (annualized 60-120%)
⚠️ Aggressive: 10-20% (annualized 120-240%, extremely high risk)
❌ Unrealistic: >20% (unsustainable)
Important reminders:
- Crypto market is volatile, profit targets should be conservative
- Stable small profits are better than pursuing huge gains
- Controlling drawdown is more important than pursuing returns
4.3 Fee Calculation
□ Fee understanding
- Exchange fee rate: __________%
- Maker fee rate: __________%
- Taker fee rate: __________%
- Has discount: □ Yes □ No
□ Fee impact assessment
- Expected monthly trades: __________
- Estimated fee expense: __________ USDT
- Fee percentage: __________%
Fee Calculation Example
# Fee calculation
# Parameters
total_capital = 5000 # Total capital
position_size = 500 # Single trade amount
trades_per_month = 60 # Monthly trades
fee_rate = 0.001 # Fee rate (0.1%)
# Calculate
fee_per_trade = position_size * fee_rate * 2 # Buy+sell
monthly_fee = fee_per_trade * trades_per_month
yearly_fee = monthly_fee * 12
fee_impact = (monthly_fee / total_capital) * 100
print(f"Fee per trade: {fee_per_trade:.2f} USDT")
print(f"Monthly fee: {monthly_fee:.2f} USDT")
print(f"Yearly fee: {yearly_fee:.2f} USDT")
print(f"Fee percentage: {fee_impact:.2f}%")
# Output example:
# Fee per trade: 1.00 USDT
# Monthly fee: 60.00 USDT
# Yearly fee: 720.00 USDT
# Fee percentage: 1.20%
Part 5: Monitoring Mechanism Check
5.1 Real-time Monitoring Setup
□ Telegram Bot configuration
- Bot Token configured
- Chat ID configured
- Notification test successful
- Notification level adjusted
□ Key notifications enabled
✅ Entry notifications
✅ Exit notifications
✅ Stop loss notifications
✅ Error alerts
✅ Daily summary
□ API Server configuration
- API Server enabled
- Port: __________
- Username and password set
- FreqUI accessible normally
5.2 Daily Monitoring Plan
□ Daily check schedule
- Morning check (before market open): __________
- Midday check (during market): __________
- Evening summary (after market close): __________
□ Daily check content
□ View current positions and P/L
□ Check system running status
□ Review Telegram notification history
□ Check for new trades
□ Check log errors
□ Weekly summary
□ Calculate weekly return
□ Analyze best/worst trades
□ Evaluate strategy performance
□ Adjust or maintain strategy
5.3 Alert Mechanism Setup
□ Key alert configuration
- Alert when single trade loss exceeds _______%
- Alert when daily loss exceeds _______%
- Alert when consecutive losses reach _______
- Immediate alert on system error
□ Alert receiving methods
✅ Telegram notifications
✅ Email notifications (optional)
✅ SMS notifications (optional)
□ Emergency contacts
- Primary contact: __________
- Backup contact: __________
Part 6: Psychological Preparation Check
6.1 Psychological Preparation Assessment
□ Basic awareness
□ I understand live trading will have losses
□ I am mentally prepared to endure drawdowns
□ I will not panic due to short-term losses
□ I will not be greedy due to short-term profits
□ I will execute strategy strictly, not intervene randomly
□ Risk tolerance
- Maximum loss I can bear: __________ USDT
- Maximum drawdown I can bear: __________%
- If losses exceed limit, I will: __________
□ Time preparation
- I can invest _______ hours daily to monitor trading
- I have time to handle emergencies
- I will not neglect monitoring due to busy work
6.2 Trading Discipline Commitment
I commit to:
□ Strict strategy execution
□ Will not modify strategy randomly due to market fluctuations
□ Will not manually intervene in automated trading
□ Will not chase highs and sell lows
□ Risk management compliance
□ Strictly follow stop loss discipline
□ Will not exceed planned position size
□ Will not use leverage (initially)
□ Rational decisions
□ Make decisions based on data, not emotions
□ Will not revenge trade after losses
□ Will not be blindly confident after profits
□ Continuous learning
□ Regularly review trading records
□ Analyze success and failure reasons
□ Continuously optimize strategies and processes
Signature: __________ Date: __________
Discipline violation penalties:
- 1st violation: Stop trading for 3 days, deep reflection
- 2nd violation: Stop trading for 7 days, re-evaluate
- 3rd violation: Stop trading for 30 days, start over from learning
6.3 Emergency Plan
□ Emergency situation handling process
Situation 1: Consecutive losses
- Trigger condition: _______ consecutive losses
- Response: __________
Situation 2: Large single-day loss
- Trigger condition: Single-day loss exceeds _______%
- Response: __________
Situation 3: System failure
- Possible causes: Network interruption, server failure, API abnormality
- Response: __________
Situation 4: Extreme market volatility
- Trigger condition: Abnormal price fluctuations, exchange failure
- Response: __________
□ Emergency trading stop process
1. Login to Telegram Bot, send /stopbuy
2. Manually close all positions (if necessary)
3. Stop Freqtrade service
4. Disable API Key (if necessary)
5. Analyze reasons, develop recovery plan
📝 Final Decision
After completing all checks above, use the following scoring system to make the final decision:
Scoring System
Score each section (0-10 points):
1. Strategy validation: _______ / 10
- Excellent backtest performance (3 points)
- Dry-run validation passed (4 points)
- Clear strategy logic (3 points)
2. Technical preparation: _______ / 10
- Stable server environment (3 points)
- Correct API configuration (4 points)
- Complete backup mechanism (3 points)
3. Risk management: _______ / 10
- Reasonable stop loss settings (4 points)
- Scientific position management (3 points)
- Complete protection mechanisms (3 points)
4. Fund management: _______ / 10
- Sufficient initial funds (3 points)
- Reasonable target settings (3 points)
- Fees calculated (4 points)
5. Monitoring mechanism: _______ / 10
- Complete real-time monitoring (4 points)
- Clear daily monitoring plan (3 points)
- Sound alert mechanism (3 points)
6. Psychological preparation: _______ / 10
- Sufficient psychological preparation (4 points)
- Clear trading discipline (3 points)
- Complete emergency plan (3 points)
Total score: _______ / 60
Decision Criteria
Total score 54-60 (90-100%):
✅ Fully prepared, can start small capital live testing
Recommended initial capital: 1000-3000 USDT
Recommended positions: 2-3
Total score 48-53 (80-89%):
⚠️ Basically prepared, but still room for improvement
Recommendation: Improve weak areas before starting
Recommended initial capital: 500-1000 USDT
Recommended positions: 1-2
Total score 42-47 (70-79%):
⚠️ Insufficient preparation, recommend continuing improvement
Focus: Identify low-scoring areas, improve item by item
Recommendation: Run 1 more week of Dry-run
Total score < 42 (<70%):
❌ Insufficient preparation, not suitable for live trading
Recommendation: Systematically complete all check items
Recommendation: Seek guidance from experienced traders
📌 Key Points
10 Must-Do Things Before Live Trading
1. ✅ Backtest period at least 3 months, excellent results
2. ✅ Dry-run at least 1 week, performance meets expectations
3. ✅ API Key configured correctly, security measures in place
4. ✅ Stop loss and position management reasonably set
5. ✅ Complete backup mechanism, can recover quickly
6. ✅ Telegram notifications configured, test successful
7. ✅ Sufficient initial funds (minimum 1000 USDT)
8. ✅ Clear monitoring plan, fixed daily check times
9. ✅ Complete emergency plan prepared
10. ✅ Sufficient psychological preparation, commit to discipline
10 Things You Must Never Do
1. ❌ Skip Dry-run and go directly to live
2. ❌ Use funds you cannot afford to lose
3. ❌ Enable API withdrawal permissions
4. ❌ Do not set stop loss protection
5. ❌ Do not conduct daily monitoring
6. ❌ Modify strategy based on emotions
7. ❌ No backup mechanism
8. ❌ Use leverage trading (initially)
9. ❌ Pursue unrealistic high returns
10. ❌ Ignore risk management
🎯 Next Lesson Preview
Lesson 23: Small Capital Live Trading
In the next lesson, we will learn:
- How to safely start live trading
- Live trading startup process
- Key monitoring for the first few days
- When to increase capital
Key Content:
- Steps to switch from Dry-run to live
- Final confirmation before live trading
- Detailed monitoring plan for first 7 days
- Problem diagnosis and handling
🎓 Learning Suggestions:
- Don't rush: Better to spend more time preparing than rush into live trading
- Item-by-item check: Seriously complete every check item, don't go through the motions
- Honest scoring: Objectively assess your preparation level
- Seek feedback: Let experienced people help you review
- Record everything: Save all check results and scores
Remember: Live trading is a marathon, not a sprint. Sufficient preparation is half the battle for success.
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