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    <title>BINARY FINTECH Blog (EN)</title>
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    <description>Articles on strategy testing, robustness and risk management — backtesting, walk-forward, Monte Carlo, genetic optimization.</description>
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    <lastBuildDate>Wed, 15 Jul 2026 08:00:00 +0200</lastBuildDate>
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      <title>Who's selling to you when you jump on a moving train</title>
      <link>https://www.binaryfintech.com/en/blog/chasing-the-market/</link>
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      <pubDate>Wed, 15 Jul 2026 08:00:00 +0200</pubDate>
      <description>When a move is "obvious", it's already late: the biggest edge went to whoever bought when it was boring. Why you supply exit liquidity in the hype, and why a system has no FOMO. The hardest discipline? Leaving while it's still good.</description>
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      <title>Don't count strategies, count independent bets</title>
      <link>https://www.binaryfintech.com/en/blog/how-many-strategies/</link>
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      <pubDate>Tue, 14 Jul 2026 08:00:00 +0200</pubDate>
      <description>Diversification has a ceiling: each added strategy smooths less, and in a crisis correlations rise toward +1. Where you stop competing with the market and start competing with yourself — and why to count independent bets, not strategies.</description>
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      <title>Order execution: what happens to your order from click to fill</title>
      <link>https://www.binaryfintech.com/en/blog/order-execution-mechanics/</link>
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      <pubDate>Sun, 12 Jul 2026 08:00:00 +0200</pubDate>
      <description>What is behind a "buy" click: order types and time-in-force, an order's lifecycle, order-book mechanics, filling large size in pieces, conditional orders and the safeguards that keep a test honest.</description>
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      <title>Why Backtests Lie: Fees, Spread, and Fills</title>
      <link>https://www.binaryfintech.com/en/blog/why-backtests-lie/</link>
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      <pubDate>Sat, 11 Jul 2026 08:00:00 +0200</pubDate>
      <description>Where exactly a backtest lies — fees, spread, slippage, the fill queue — and the deeper trap: your order isn't in the historical data. How to get as close to reality as possible.</description>
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      <title>From idea to production: how we test trading strategies</title>
      <link>https://www.binaryfintech.com/en/blog/strategy-testing-protocol/</link>
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      <pubDate>Fri, 10 Jul 2026 08:00:00 +0200</pubDate>
      <description>The ten phases of our testing protocol: from an idea through the settings landscape, walk-forward and Monte Carlo to the portfolio and zero-delta deployment. A map of the whole journey.</description>
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      <title>Instrument universes: why today's stock list lies about the past</title>
      <link>https://www.binaryfintech.com/en/blog/instrument-universes/</link>
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      <pubDate>Tue, 07 Jul 2026 16:00:00 +0200</pubDate>
      <description>Survivorship bias in plain words: a backtest on today's index membership only counts the survivors. An honest universe has rules instead of names — and point-in-time membership.</description>
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      <title>Genetic optimization: searching a million combinations</title>
      <link>https://www.binaryfintech.com/en/blog/genetic-optimization/</link>
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      <pubDate>Tue, 07 Jul 2026 08:00:00 +0200</pubDate>
      <description>An exact grid, or evolution: population, generations, mutation and elitism. Why every candidate is a full backtest and why the result is a landscape, not a single winner.</description>
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      <title>Metrics: how to tell a good strategy from a lucky one</title>
      <link>https://www.binaryfintech.com/en/blog/performance-metrics/</link>
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      <pubDate>Tue, 07 Jul 2026 08:00:00 +0200</pubDate>
      <description>Return, risk and their ratio: profit factor, drawdown, Calmar, Sharpe, Sortino and the pessimistic PROM — what they say, when they lie, and why nothing is judged below 30 trades.</description>
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      <title>Strategy portfolios: one pool of money</title>
      <link>https://www.binaryfintech.com/en/blog/strategy-portfolios/</link>
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      <pubDate>Mon, 06 Jul 2026 08:00:00 +0200</pubDate>
      <description>Smooth equity is not tuned — it is composed. Why a portfolio is not the sum of two backtests and how it is tested over a single account.</description>
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      <title>How much to bet: the Kelly criterion, risk of ruin and time in the market</title>
      <link>https://www.binaryfintech.com/en/blog/position-sizing-kelly/</link>
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      <pubDate>Mon, 06 Jul 2026 08:00:00 +0200</pubDate>
      <description>The Kelly criterion, fractional betting and an under-watched metric: the share of time in the market.</description>
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      <title>A backtest that behaves like the live market</title>
      <link>https://www.binaryfintech.com/en/blog/event-driven-backtesting/</link>
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      <pubDate>Mon, 06 Jul 2026 08:00:00 +0200</pubDate>
      <description>Event-driven, real-time like: one strategy codebase from test to exchange — order books, fill queues, slippage, fees and latency.</description>
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      <title>Monte Carlo: a distribution instead of a single number</title>
      <link>https://www.binaryfintech.com/en/blog/monte-carlo-simulation/</link>
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      <pubDate>Mon, 06 Jul 2026 08:00:00 +0200</pubDate>
      <description>One equity curve is a sample of size one. Controlled noise in the data, equity fans, profit percentiles and VaR.</description>
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      <title>Black swans, fat tails and Fat Tony</title>
      <link>https://www.binaryfintech.com/en/blog/black-swans-fat-tails/</link>
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      <pubDate>Wed, 01 Jul 2026 08:00:00 +0200</pubDate>
      <description>Why market returns are not normally distributed, Taleb’s black-swan criteria and five lines of defence.</description>
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      <title>Overfitting: why a beautiful backtest often fails live</title>
      <link>https://www.binaryfintech.com/en/blog/overfitting/</link>
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      <pubDate>Fri, 03 Jul 2026 08:00:00 +0200</pubDate>
      <description>Signal vs. noise, selection bias under multiple testing and the parameter-plateau defence.</description>
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      <title>Walk-forward analysis: why one backtest is not enough</title>
      <link>https://www.binaryfintech.com/en/blog/walk-forward-analysis/</link>
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      <pubDate>Fri, 03 Jul 2026 08:00:00 +0200</pubDate>
      <description>Rolling IS/OOS windows, walk-forward efficiency and the operating rhythm of re-optimization in live trading.</description>
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