What leverage should a beginner use on LMEX perpetuals?

Start with 2-3x maximum. This gives you meaningful exposure while keeping liquidation far enough away to survive normal market volatility. Increase leverage only after 3+ months of consistent profitability.

How do I calculate my liquidation price on LMEX?

Liquidation price = Entry price × (1 - 1/leverage) for longs. At 10x leverage, a 10% move against you triggers liquidation. LMEX displays your liquidation price in the position panel — always check it before confirming an order.

Should I use stop-loss orders or code stop-loss logic in my bot?

Both. Code the logic in your bot as the primary mechanism, and place a resting stop-loss order on the exchange as a safety net in case your bot loses connectivity.

What is a realistic monthly return target for LMEX algo trading?

Professional algo traders target 3-8% per month with controlled drawdowns. Anything above 15% monthly requires either significant risk or exceptional skill — be sceptical of strategies promising more.

Risk Management for Crypto Futures: How to Protect Your Capital on LMEX

Why Risk Management Beats Better Entries

A strategy with a 55% win rate and poor risk management will blow up. A strategy with a 45% win rate and excellent risk management can be highly profitable. The mathematics of trading are ruthless: a 50% drawdown requires a 100% gain just to break even. Protecting capital is not conservative — it is the only path to long-term profitability on LMEX futures.

The 1-2% Rule

Never risk more than 1-2% of your total account balance on a single trade. This is the bedrock of professional risk management.

def position_size(account_balance, risk_pct, entry_price, stop_loss_price):
    risk_amount = account_balance * (risk_pct / 100)
    price_risk  = abs(entry_price - stop_loss_price)
    risk_per_unit = price_risk / entry_price
    position_usdt = risk_amount / risk_per_unit
    return position_usdt
Example: $5,000 account, 2% risk, BTC at $80,000, stop at $79,200
size = position_size(5000, 2, 80000, 79200)
print(f"Position size: ${size:.2f} USDT")  # → $1,000 USDT

With 2% risk per trade, you can sustain 25 consecutive losing trades before losing half your account. With 10% risk per trade, just 7 losses achieves the same destruction.

Leverage Rules for LMEX

LMEX offers up to 100x leverage on BTC-PERP. Here is how to think about leverage correctly:

| Strategy Type | Recommended Leverage |

|---|---|

| Scalping (seconds to minutes) | 5-20x |

| Intraday (hours) | 3-10x |

| Swing (days) | 2-5x |

| Market Making | 1-3x |

| Arbitrage | 1-5x |

Leverage amplifies both gains and losses equally. A 5x leveraged position on BTC-PERP will be liquidated if price moves 20% against you. At 10x, liquidation occurs at 10%. Always know your liquidation price before entering.

Drawdown Limits

Set hard drawdown limits and enforce them programmatically in your bots:

Daily drawdown limit (3-5%): If your account drops 3-5% in a single day, the bot stops trading until the next session. One bad day should never cascade into a catastrophic week.

Weekly drawdown limit (8-10%): If the account drops 8-10% in a week, reduce position sizes by 50% for the following week. Do not try to recover losses by increasing size — this is how accounts blow up.

Maximum drawdown (15-20%): If total drawdown from peak reaches 15-20%, stop the bot and reassess the strategy. The market regime may have changed.

class RiskManager:
    def __init__(self, initial_balance, daily_limit=0.05, max_dd=0.20):
        self.peak_balance    = initial_balance
        self.session_start   = initial_balance
        self.daily_limit     = daily_limit
        self.max_drawdown    = max_dd
    def can_trade(self, current_balance):
        daily_loss = (self.session_start - current_balance) / self.session_start
        total_dd   = (self.peak_balance - current_balance) / self.peak_balance
        if daily_loss >= self.daily_limit:
            print("Daily loss limit hit — stopping for today")
            return False
        if total_dd >= self.max_drawdown:
            print("Maximum drawdown hit — stopping bot")
            return False
        return True

Correlation Risk

Do not run the same strategy on multiple correlated pairs at the same time. Running EMA Crossover on BTC-PERP and ETH-PERP simultaneously does not give you two independent trades — BTC and ETH are 0.85+ correlated. A market crash hits both positions equally. Treat correlated positions as one larger position for sizing purposes.

Funding Rate Risk

On LMEX perpetuals, funding is exchanged every 8 hours. If you hold a long position when funding is strongly positive, you pay 0.03-0.1% every 8 hours — up to 1.8% per month. For strategies that hold positions for days, always factor funding costs into your expected return.

The Psychology of Drawdowns

The hardest part of risk management is following your rules when in a drawdown. The instinct to increase size to recover losses is universal — and universally destructive. Programme your rules into the bot so they execute automatically, without discretion.

Key Takeaways

Risk 1-2% of account per trade — the 1% rule allows 50+ consecutive losses before 50% drawdown

Set daily (5%), weekly (10%) and maximum (20%) drawdown limits in your bot code

Match leverage to holding period — scalping can use 10-20x, swing trading 2-5x

Treat correlated pairs (BTC + ETH) as a single position for sizing

Include funding costs in long-term position calculations on LMEX perps

Never manually override bot risk rules to recover losses