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Emmanuel Aliouat
🚀 I just reviewed 17 years of NAAIM Founders Award winners (2009–2025) — the most respected research competition in active investing.
Here’s what the best systematic strategies actually look like 👇
📌 Dual Momentum (Antonacci)
+15.79%/yr, Sharpe 0.73, Max DD –23%
→ Half the drawdown of Buy & Hold.
→ 1.4 trades/year.
→ The only fully audit‑ready table.
📌 Lumber vs Gold (Gayed & Bilello)
+11.4%/yr SPY/TLT rotation
→ Offense/Defense macro signal that survived multiple cycles.
📌 Volatility Targeting (Cooper)
→ Sharpe consistently higher than Buy & Hold.
→ Confirmed by Moreira, Muir, Hallerbach.
📌 The 5% Canary (Thrasher)
→ A –5% drop from a 52‑week high gives a reliable directional edge over 70 years.
📌 MACD‑V (Spiroglou)
→ Volatility‑normalized MACD = fewer false signals, better accuracy.
🎯 Common pattern:
Simple rules. Strong economic logic. Lower drawdowns. Multi‑cycle robustness.
If you want the full PDF with rules, metrics, and sources, just say PDF.
Here’s what the best systematic strategies actually look like 👇
📌 Dual Momentum (Antonacci)
+15.79%/yr, Sharpe 0.73, Max DD –23%
→ Half the drawdown of Buy & Hold.
→ 1.4 trades/year.
→ The only fully audit‑ready table.
📌 Lumber vs Gold (Gayed & Bilello)
+11.4%/yr SPY/TLT rotation
→ Offense/Defense macro signal that survived multiple cycles.
📌 Volatility Targeting (Cooper)
→ Sharpe consistently higher than Buy & Hold.
→ Confirmed by Moreira, Muir, Hallerbach.
📌 The 5% Canary (Thrasher)
→ A –5% drop from a 52‑week high gives a reliable directional edge over 70 years.
📌 MACD‑V (Spiroglou)
→ Volatility‑normalized MACD = fewer false signals, better accuracy.
🎯 Common pattern:
Simple rules. Strong economic logic. Lower drawdowns. Multi‑cycle robustness.
If you want the full PDF with rules, metrics, and sources, just say PDF.
Emmanuel Aliouat
ürün yayınladı
🎯 Top Stocks Mini: Science-Based Algorithmic Trading 🔬 A Quantitative System Grounded in Academic Research Top Stocks Mini is not just another EA. It's an institutional-grade trading system designed for medium/long-term investors seeking a methodical approach to equity markets with first-class performance. Our entry-level product, ideal for familiarizing yourself with quantitative momentum strategies. 💡 The Core System: The MAD Score (Momentum-Adjusted Direction) Our methodology is based on
Emmanuel Aliouat
Today, I share with you my Market Structure Analysis done with my Partner in Crime, Nicolas... Hope it will help and of course feel free to jump back !!!
🪙 Why Gold Is Falling Despite the Iran War — A Market‑Structure View 🪙
Gold’s March 2026 correction is a market‑structure event: rising real yields, a stronger US dollar, oil‑driven inflation fears and liquidity‑driven profit‑taking overwhelmed safe‑haven flows — this is why gold fell even as the Iran conflict escalated.
Why the price moved (concise thesis)Real (inflation‑adjusted) yields rose and the Fed signalled a “higher‑for‑longer” path, increasing the opportunity cost of holding non‑yielding gold. Markets repriced policy after the March FOMC, which reduced near‑term rate‑cut expectations and pushed Treasury yields and real yields higher.The five mechanics that explain the drop
1. Real yields and policy expectationsHigher real yields make gold less attractive versus cash and bonds. The Fed’s hawkish hold and revised projections in mid‑March triggered a rapid repricing of rate‑cut odds, pressuring bullion.
2. A stronger US dollarThe US Dollar Index reclaimed the 100 area in March, making dollar‑priced gold more expensive for non‑USD buyers and reducing global demand. Dollar strength amplified the downward move in spot gold.
3. Oil as an inflation shock, not a safe‑haven shockBrent briefly traded above $100 as Iran‑linked attacks disrupted Gulf shipping; higher oil raised inflation expectations and reinforced the Fed’s hawkish stance — a sequence that is bearish for gold in the short term.
4. Positioning and profit‑takingAfter a large 2025 rally, leveraged and speculative longs were vulnerable; margin pressure and rebalancing led to liquidations and rapid selling in the paper market (futures/ETFs). This is classic “sell the liquid asset to meet margin” behaviour.
5. Liquidity dynamics trump narrativesMarket commentary and research point to tightening liquidity as a primary driver of the correction rather than a permanent change in gold’s long‑term case.
Short‑term flows and funding stress dominated headline risk.What this means for allocators and traders- Strategic view unchanged: central bank demand, fiscal deficits and geopolitical fragmentation still support gold as a long‑term hedge; short‑term volatility is expected.- Tactical framing: treat gold as a strategic hedge, not a tactical lever for immediate liquidity; monitor real yields, DXY, oil trajectory and ETF/futures flows as primary signals.
Sources (key references)- Kitco / Reuters — gold fell on a stronger dollar and hawkish Fed tone.- CNBC — gold moved lower after the Fed kept rates unchanged and signalled limited cuts.- Economic Times / Reuters — gold set for weekly falls amid firm dollar and hawkish central banks.- GoldKimp Research — analysis attributing the drop to rising real rates and liquidity constraints (24 Mar 2026).- CNBC / UPI / The Guardian — oil surged above $100 on Iran‑linked disruptions, feeding inflation concerns.
🪙 Why Gold Is Falling Despite the Iran War — A Market‑Structure View 🪙
Gold’s March 2026 correction is a market‑structure event: rising real yields, a stronger US dollar, oil‑driven inflation fears and liquidity‑driven profit‑taking overwhelmed safe‑haven flows — this is why gold fell even as the Iran conflict escalated.
Why the price moved (concise thesis)Real (inflation‑adjusted) yields rose and the Fed signalled a “higher‑for‑longer” path, increasing the opportunity cost of holding non‑yielding gold. Markets repriced policy after the March FOMC, which reduced near‑term rate‑cut expectations and pushed Treasury yields and real yields higher.The five mechanics that explain the drop
1. Real yields and policy expectationsHigher real yields make gold less attractive versus cash and bonds. The Fed’s hawkish hold and revised projections in mid‑March triggered a rapid repricing of rate‑cut odds, pressuring bullion.
2. A stronger US dollarThe US Dollar Index reclaimed the 100 area in March, making dollar‑priced gold more expensive for non‑USD buyers and reducing global demand. Dollar strength amplified the downward move in spot gold.
3. Oil as an inflation shock, not a safe‑haven shockBrent briefly traded above $100 as Iran‑linked attacks disrupted Gulf shipping; higher oil raised inflation expectations and reinforced the Fed’s hawkish stance — a sequence that is bearish for gold in the short term.
4. Positioning and profit‑takingAfter a large 2025 rally, leveraged and speculative longs were vulnerable; margin pressure and rebalancing led to liquidations and rapid selling in the paper market (futures/ETFs). This is classic “sell the liquid asset to meet margin” behaviour.
5. Liquidity dynamics trump narrativesMarket commentary and research point to tightening liquidity as a primary driver of the correction rather than a permanent change in gold’s long‑term case.
Short‑term flows and funding stress dominated headline risk.What this means for allocators and traders- Strategic view unchanged: central bank demand, fiscal deficits and geopolitical fragmentation still support gold as a long‑term hedge; short‑term volatility is expected.- Tactical framing: treat gold as a strategic hedge, not a tactical lever for immediate liquidity; monitor real yields, DXY, oil trajectory and ETF/futures flows as primary signals.
Sources (key references)- Kitco / Reuters — gold fell on a stronger dollar and hawkish Fed tone.- CNBC — gold moved lower after the Fed kept rates unchanged and signalled limited cuts.- Economic Times / Reuters — gold set for weekly falls amid firm dollar and hawkish central banks.- GoldKimp Research — analysis attributing the drop to rising real rates and liquidity constraints (24 Mar 2026).- CNBC / UPI / The Guardian — oil surged above $100 on Iran‑linked disruptions, feeding inflation concerns.
Emmanuel Aliouat
Hi everyone, following recent R&D papers, I am shifting my focus toward industrializing algorithmic execution to bridge the gap between retail strategy and professional-grade stability. My goal is to ensure that complex models translate reliably into real-market performance without technical overhead.
I’m particularly interested in how you're all managing latency and execution consistency in the current volatile environment. Feel free to share your thoughts :)
I’m particularly interested in how you're all managing latency and execution consistency in the current volatile environment. Feel free to share your thoughts :)
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