Write it as pseudo-code first:
if avg_loss == 0: return 100 rs = avg_gain / avg_loss return 100 - (100 / (1 + rs)) def should_trade(rsi): if rsi < RSI_OVERSOLD: return "CALL" elif rsi > RSI_OVERBOUGHT: return "PUT" return None ========= MAIN LOOP (LIVE READY) ========= def run_live_bot(): client = Quotex(email="your@email.com", password="your_pass", lang="en") quotex demo to real code
client.connect() balance = client.get_balance() state.initial_balance = balance logging.info(f"Started with balance: $balance:.2f (client.account_type)") Write it as pseudo-code first: if avg_loss ==
| Aspect | Demo | Real | |--------|------|------| | Money | Virtual | Your real capital | | Emotion | Low stress | High stress (fear, greed) | | Execution | Instant, no slippage | Possible slippage, broker delays | | Liquidity | Simulated | Real market depth | | Data | Often delayed or clean | Real-time, noisy | | Spread | May be tighter | Real spreads + commissions | 🔴 Golden rule: If your strategy doesn’t work on demo for at least 3 months (100+ trades), it will fail live. 2. From Demo Strategy → Live Code (Step-by-Step) Step 1 – Define your strategy in logic (not feelings) Example strategy: RSI(14) < 30 → BUY, RSI > 70 → SELL, only between 09:00–17:00 GMT, 1-min expiration. RSI_OVERSOLD: return "CALL" elif rsi >
avg_gain = sum(gains[-period:]) / period avg_loss = sum(losses[-period:]) / period
import time import logging from quotexapi import Quotex ASSET = "EURUSD_otc" AMOUNT_PERCENT = 2 # % of balance per trade RSI_PERIOD = 14 RSI_OVERSOLD = 30 RSI_OVERBOUGHT = 70 MAX_DAILY_TRADES = 20 STOP_LOSS_DAILY = -5 # -5% stop ========= STATE ========= class TradingState: def init (self): self.daily_trades = 0 self.daily_pnl = 0.0 self.initial_balance = 0.0