Деплой торгового бота на VPS (24/7)

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It’s a familiar story in the world of algorithmic trading. You spend weeks, maybe months, crafting a trading strategy. You run it through a backtest on historical data, and the results are breathtaking. The equity curve soars upwards, a beautiful, steady climb to financial freedom. You feel a surge of excitement—you’ve cracked the code. Then, you deploy it with real money. Within days, the strategy starts to bleed. The perfect curve inverts, and the trades that looked like genius moves in the backtest are now consistent losers. What went wrong? The painful truth is that your strategy was likely never profitable to begin with. Its stellar performance was an illusion created by common, subtle, and devastating backtesting mistakes. Before you risk another dollar, it’s crucial to understand these pitfalls. We'll explore the three most notorious "silent killers" of trading strategies: look-ahead bias, survivorship bias, and overfitting. This isn't about specific en...
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Regime Detection: Why Your Strategy Fails and How to Spot the Shift

In the world of algorithmic trading, every developer eventually hits the same wall. You build a backtest that shows a beautiful, upward-sloping equity curve. You optimize your parameters, stress-test your logic, and deploy it to the market. For a few weeks, it prints money. Then, silence. The equity curve flattens, drawdowns deepen, and the strategy that seemed like a "holy grail" suddenly feels like a liability. The problem is rarely the code itself. The problem is the market environment—or the regime —in which your strategy is operating. What is a Market Regime? Think of a market regime as the "weather" of the financial world. Just as you wouldn't wear a swimsuit in a blizzard or a parka on a beach, you cannot use the same trading logic across all market conditions. A regime is a period of time where the statistical properties of an asset remain relatively stable. These properties include: Volatility: Is the price moving in tight, predictable ra...
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