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    <description>Articles by Aniebietabasi Obo on credit risk, fixed income, quant research and software.</description>
    <language>en</language>
    <lastBuildDate>Fri, 06 Nov 2026 00:00:00 GMT</lastBuildDate>
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      <title>Building a memecoin trading bot: what the data said, and what real money said</title>
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      <pubDate>Fri, 06 Nov 2026 00:00:00 GMT</pubDate>
      <description>Recording every new token forward, pre-registering every rule, and a real-money post-mortem that blamed the safety stops, not the strategy.</description>
      <category>Quant</category>
      <category>Research</category>
      <category>Crypto</category>
      <category>Python</category>
      <category>Next.js</category>
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      <title>Dangote Cement is a better business than a year ago. Its share price assumes Nigerian rates will fall</title>
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      <pubDate>Wed, 04 Nov 2026 00:00:00 GMT</pubDate>
      <description>An equity research note on Dangote Cement built from NGX filings: a DCF puts fair value at ₦871 against ₦1,490, a price that implies naira bond yields of 12.6%.</description>
      <category>Equity research</category>
      <category>Valuation</category>
      <category>Nigeria</category>
      <category>Python</category>
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      <title>A day-trading strategy lost for nine years, then worked. Could you have known?</title>
      <link>https://jurstadev.xyz/articles/opening-range-breakout-nasdaq/</link>
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      <pubDate>Thu, 29 Oct 2026 00:00:00 GMT</pubDate>
      <description>A YouTube Nasdaq breakout strategy lost money from 2010 to 2018, then made $86,510 on sealed 2023–26 data. Neither regime filter would have told you when.</description>
      <category>Quant</category>
      <category>Research</category>
      <category>Backtesting</category>
      <category>Trading</category>
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      <title>161 trading hypotheses: what survived, and where my tests were wrong</title>
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      <pubDate>Wed, 28 Oct 2026 00:00:00 GMT</pubDate>
      <description>A scoreboard of 161 pre-registered trading ideas, from chart patterns to risk premia. Lore never came close; textbook premia barely did better.</description>
      <category>Quant</category>
      <category>Research</category>
      <category>Backtesting</category>
      <category>Trading</category>
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      <title>I built a bank-style credit model. The health check said it was fine while losses rose</title>
      <link>https://jurstadev.xyz/articles/credit-risk-model/</link>
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      <pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate>
      <description>I built a credit scorecard and a LightGBM PD model on 620,783 Lending Club loans and validated them like a bank: ranking held, but PSI missed the drift.</description>
      <category>Credit risk</category>
      <category>Python</category>
      <category>Machine learning</category>
      <category>Data</category>
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      <title>Costs killed my day trading on stocks. On the indices, the pattern flipped</title>
      <link>https://jurstadev.xyz/articles/index-intraday-momentum/</link>
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      <pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate>
      <description>Day trading on stocks lost to costs, so I tested the best-known intraday pattern on stock indices at futures costs. It worked for a decade, then reversed.</description>
      <category>Quant</category>
      <category>Research</category>
      <category>Backtesting</category>
      <category>Trading</category>
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      <title>My market-timing signals passed every test. Buy-and-hold nearly did too</title>
      <link>https://jurstadev.xyz/articles/regime-timers-vs-buy-and-hold/</link>
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      <pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate>
      <description>Ten macro regime timers passed my backtest gauntlet; buy-and-hold failed only on a technicality. Out of sample, all ten made less than staying invested.</description>
      <category>Quant</category>
      <category>Research</category>
      <category>Backtesting</category>
      <category>Python</category>
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      <title>I backtested Smart Money Concepts properly. Six rules, no edge</title>
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      <pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate>
      <description>I coded six Smart Money Concepts (ICT) rules, from liquidity sweeps to order blocks, and backtested them on FX and gold back to 2005. None passed.</description>
      <category>Quant</category>
      <category>Research</category>
      <category>Backtesting</category>
      <category>Trading</category>
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      <title>Fifty-six trading hypotheses: what systematic signal research actually looks like</title>
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      <pubDate>Sat, 24 Oct 2026 00:00:00 GMT</pubDate>
      <description>A pre-registered five-gate backtest gauntlet, a one-shot holdout, and why passing every test still wasn't enough.</description>
      <category>Quant</category>
      <category>Research</category>
      <category>Backtesting</category>
      <category>Python</category>
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    <item>
      <title>Building a naira yield curve from public data, and what it says about MPC decisions</title>
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      <pubDate>Sat, 24 Oct 2026 00:00:00 GMT</pubDate>
      <description>Naira and Eurobond yield curves built from FMDQ, DMO and CBN data. FGN bond yields now move before MPC rate decisions; in 2010–17, in the decision week.</description>
      <category>Fixed income</category>
      <category>Python</category>
      <category>Nigeria</category>
      <category>Data</category>
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