Ten strategic categories, three ETFs each.

Risk-On Liquidity Expansion / Goldilocks

Favored stance. Technology starts with SPY-relative leadership, category-relative strength across XLK, IGV, and CIBR, volume-backed persistence, support quality, and rate-sensitive extension risk. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Technology is more duration-sensitive than the commodity sleeves, so the same breakout needs more confirmation when rates or liquidity are hostile. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Neutral stance. Technology starts with SPY-relative leadership, category-relative strength across XLK, IGV, and CIBR, volume-backed persistence, support quality, and rate-sensitive extension risk. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Technology is more duration-sensitive than the commodity sleeves, so the same breakout needs more confirmation when rates or liquidity are hostile. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Favored stance. Technology starts with SPY-relative leadership, category-relative strength across XLK, IGV, and CIBR, volume-backed persistence, support quality, and rate-sensitive extension risk. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Technology is more duration-sensitive than the commodity sleeves, so the same breakout needs more confirmation when rates or liquidity are hostile. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Headwind stance. Technology starts with SPY-relative leadership, category-relative strength across XLK, IGV, and CIBR, volume-backed persistence, support quality, and rate-sensitive extension risk. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. Technology is more duration-sensitive than the commodity sleeves, so the same breakout needs more confirmation when rates or liquidity are hostile. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Neutral stance. Technology starts with SPY-relative leadership, category-relative strength across XLK, IGV, and CIBR, volume-backed persistence, support quality, and rate-sensitive extension risk. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Technology is more duration-sensitive than the commodity sleeves, so the same breakout needs more confirmation when rates or liquidity are hostile. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Technology starts with SPY-relative leadership, category-relative strength across XLK, IGV, and CIBR, volume-backed persistence, support quality, and rate-sensitive extension risk. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Technology is more duration-sensitive than the commodity sleeves, so the same breakout needs more confirmation when rates or liquidity are hostile. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Favored stance. AI starts with peer-relative leadership, 13W/26W sponsorship, volume-price confirmation, MACD improvement, and extension control. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. AI is a high-beta leadership sleeve, so the model wants proof that institutions are still paying for the AI stack rather than just chasing a crowded story. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Neutral stance. AI starts with peer-relative leadership, 13W/26W sponsorship, volume-price confirmation, MACD improvement, and extension control. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. AI is a high-beta leadership sleeve, so the model wants proof that institutions are still paying for the AI stack rather than just chasing a crowded story. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Favored stance. AI starts with peer-relative leadership, 13W/26W sponsorship, volume-price confirmation, MACD improvement, and extension control. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. AI is a high-beta leadership sleeve, so the model wants proof that institutions are still paying for the AI stack rather than just chasing a crowded story. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Headwind stance. AI starts with peer-relative leadership, 13W/26W sponsorship, volume-price confirmation, MACD improvement, and extension control. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. AI is a high-beta leadership sleeve, so the model wants proof that institutions are still paying for the AI stack rather than just chasing a crowded story. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Headwind stance. AI starts with peer-relative leadership, 13W/26W sponsorship, volume-price confirmation, MACD improvement, and extension control. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. AI is a high-beta leadership sleeve, so the model wants proof that institutions are still paying for the AI stack rather than just chasing a crowded story. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. AI starts with peer-relative leadership, 13W/26W sponsorship, volume-price confirmation, MACD improvement, and extension control. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. AI is a high-beta leadership sleeve, so the model wants proof that institutions are still paying for the AI stack rather than just chasing a crowded story. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Neutral stance. Defense & Aerospace starts with trend persistence, SPY-relative defense, volume confirmation, support clarity, and confirmation across primes/national-security/space ETFs. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Defense has secular fiscal and geopolitical support, but the model still requires price sponsorship before assigning capital. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Neutral stance. Defense & Aerospace starts with trend persistence, SPY-relative defense, volume confirmation, support clarity, and confirmation across primes/national-security/space ETFs. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Defense has secular fiscal and geopolitical support, but the model still requires price sponsorship before assigning capital. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Favored stance. Defense & Aerospace starts with trend persistence, SPY-relative defense, volume confirmation, support clarity, and confirmation across primes/national-security/space ETFs. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Defense has secular fiscal and geopolitical support, but the model still requires price sponsorship before assigning capital. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Neutral stance. Defense & Aerospace starts with trend persistence, SPY-relative defense, volume confirmation, support clarity, and confirmation across primes/national-security/space ETFs. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Defense has secular fiscal and geopolitical support, but the model still requires price sponsorship before assigning capital. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Favored stance. Defense & Aerospace starts with trend persistence, SPY-relative defense, volume confirmation, support clarity, and confirmation across primes/national-security/space ETFs. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Defense has secular fiscal and geopolitical support, but the model still requires price sponsorship before assigning capital. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Defense & Aerospace starts with trend persistence, SPY-relative defense, volume confirmation, support clarity, and confirmation across primes/national-security/space ETFs. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Defense has secular fiscal and geopolitical support, but the model still requires price sponsorship before assigning capital. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Headwind stance. Agriculture & Livestock starts with support defense, risk/reward, volume at turns, breadth across agribusiness/global agriculture/food-chain ETFs, and avoidance of thin rallies. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. Agriculture is supply-shock sensitive and often choppy, so the model favors durable support and breadth over one-week spikes. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Favored stance. Agriculture & Livestock starts with support defense, risk/reward, volume at turns, breadth across agribusiness/global agriculture/food-chain ETFs, and avoidance of thin rallies. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Agriculture is supply-shock sensitive and often choppy, so the model favors durable support and breadth over one-week spikes. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Neutral stance. Agriculture & Livestock starts with support defense, risk/reward, volume at turns, breadth across agribusiness/global agriculture/food-chain ETFs, and avoidance of thin rallies. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Agriculture is supply-shock sensitive and often choppy, so the model favors durable support and breadth over one-week spikes. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Favored stance. Agriculture & Livestock starts with support defense, risk/reward, volume at turns, breadth across agribusiness/global agriculture/food-chain ETFs, and avoidance of thin rallies. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Agriculture is supply-shock sensitive and often choppy, so the model favors durable support and breadth over one-week spikes. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Neutral stance. Agriculture & Livestock starts with support defense, risk/reward, volume at turns, breadth across agribusiness/global agriculture/food-chain ETFs, and avoidance of thin rallies. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Agriculture is supply-shock sensitive and often choppy, so the model favors durable support and breadth over one-week spikes. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Agriculture & Livestock starts with support defense, risk/reward, volume at turns, breadth across agribusiness/global agriculture/food-chain ETFs, and avoidance of thin rallies. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Agriculture is supply-shock sensitive and often choppy, so the model favors durable support and breadth over one-week spikes. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Headwind stance. Precious Metals starts with gold/silver/miner confirmation, volume at support or breakout, real-yield hedge behavior, and miner-beta discipline. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. Gold, silver, and miners can diverge sharply, so the representative must match the regime instead of blindly picking the highest-beta miner. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Neutral stance. Precious Metals starts with gold/silver/miner confirmation, volume at support or breakout, real-yield hedge behavior, and miner-beta discipline. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Gold, silver, and miners can diverge sharply, so the representative must match the regime instead of blindly picking the highest-beta miner. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Favored stance. Precious Metals starts with gold/silver/miner confirmation, volume at support or breakout, real-yield hedge behavior, and miner-beta discipline. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Gold, silver, and miners can diverge sharply, so the representative must match the regime instead of blindly picking the highest-beta miner. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Favored stance. Precious Metals starts with gold/silver/miner confirmation, volume at support or breakout, real-yield hedge behavior, and miner-beta discipline. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Gold, silver, and miners can diverge sharply, so the representative must match the regime instead of blindly picking the highest-beta miner. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Favored stance. Precious Metals starts with gold/silver/miner confirmation, volume at support or breakout, real-yield hedge behavior, and miner-beta discipline. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Gold, silver, and miners can diverge sharply, so the representative must match the regime instead of blindly picking the highest-beta miner. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Precious Metals starts with gold/silver/miner confirmation, volume at support or breakout, real-yield hedge behavior, and miner-beta discipline. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Gold, silver, and miners can diverge sharply, so the representative must match the regime instead of blindly picking the highest-beta miner. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Neutral stance. Industrial Metals starts with diversified metals breadth, copper/miner confirmation, volume-backed cyclicality, and avoidance of unsupported producer spikes. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. This category needs evidence of real industrial demand or scarcity because metals ETFs can reverse quickly when dollar pressure or growth risk rises. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Favored stance. Industrial Metals starts with diversified metals breadth, copper/miner confirmation, volume-backed cyclicality, and avoidance of unsupported producer spikes. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. This category needs evidence of real industrial demand or scarcity because metals ETFs can reverse quickly when dollar pressure or growth risk rises. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Headwind stance. Industrial Metals starts with diversified metals breadth, copper/miner confirmation, volume-backed cyclicality, and avoidance of unsupported producer spikes. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. This category needs evidence of real industrial demand or scarcity because metals ETFs can reverse quickly when dollar pressure or growth risk rises. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Neutral stance. Industrial Metals starts with diversified metals breadth, copper/miner confirmation, volume-backed cyclicality, and avoidance of unsupported producer spikes. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. This category needs evidence of real industrial demand or scarcity because metals ETFs can reverse quickly when dollar pressure or growth risk rises. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Headwind stance. Industrial Metals starts with diversified metals breadth, copper/miner confirmation, volume-backed cyclicality, and avoidance of unsupported producer spikes. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. This category needs evidence of real industrial demand or scarcity because metals ETFs can reverse quickly when dollar pressure or growth risk rises. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Industrial Metals starts with diversified metals breadth, copper/miner confirmation, volume-backed cyclicality, and avoidance of unsupported producer spikes. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. This category needs evidence of real industrial demand or scarcity because metals ETFs can reverse quickly when dollar pressure or growth risk rises. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Neutral stance. Natural Gas starts with timing, support/risk-reward, volume confirmation, and evidence that the move is more than weather or short-covering noise. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Natural gas is structurally volatile, so the model demands defined asymmetry and avoids rewarding raw momentum without sponsorship. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Favored stance. Natural Gas starts with timing, support/risk-reward, volume confirmation, and evidence that the move is more than weather or short-covering noise. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Natural gas is structurally volatile, so the model demands defined asymmetry and avoids rewarding raw momentum without sponsorship. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Headwind stance. Natural Gas starts with timing, support/risk-reward, volume confirmation, and evidence that the move is more than weather or short-covering noise. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. Natural gas is structurally volatile, so the model demands defined asymmetry and avoids rewarding raw momentum without sponsorship. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Favored stance. Natural Gas starts with timing, support/risk-reward, volume confirmation, and evidence that the move is more than weather or short-covering noise. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Natural gas is structurally volatile, so the model demands defined asymmetry and avoids rewarding raw momentum without sponsorship. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Headwind stance. Natural Gas starts with timing, support/risk-reward, volume confirmation, and evidence that the move is more than weather or short-covering noise. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. Natural gas is structurally volatile, so the model demands defined asymmetry and avoids rewarding raw momentum without sponsorship. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Natural Gas starts with timing, support/risk-reward, volume confirmation, and evidence that the move is more than weather or short-covering noise. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Natural gas is structurally volatile, so the model demands defined asymmetry and avoids rewarding raw momentum without sponsorship. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Favored stance. Uranium starts with category-relative strength, volume confirmation, pullback quality, risk/reward, and nuclear-fuel scarcity participation. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. The uranium thesis is powerful but episodic, so the representative needs both secular sponsorship and a clean tactical entry. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Favored stance. Uranium starts with category-relative strength, volume confirmation, pullback quality, risk/reward, and nuclear-fuel scarcity participation. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. The uranium thesis is powerful but episodic, so the representative needs both secular sponsorship and a clean tactical entry. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Neutral stance. Uranium starts with category-relative strength, volume confirmation, pullback quality, risk/reward, and nuclear-fuel scarcity participation. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. The uranium thesis is powerful but episodic, so the representative needs both secular sponsorship and a clean tactical entry. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Favored stance. Uranium starts with category-relative strength, volume confirmation, pullback quality, risk/reward, and nuclear-fuel scarcity participation. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. The uranium thesis is powerful but episodic, so the representative needs both secular sponsorship and a clean tactical entry. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Headwind stance. Uranium starts with category-relative strength, volume confirmation, pullback quality, risk/reward, and nuclear-fuel scarcity participation. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. The uranium thesis is powerful but episodic, so the representative needs both secular sponsorship and a clean tactical entry. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Uranium starts with category-relative strength, volume confirmation, pullback quality, risk/reward, and nuclear-fuel scarcity participation. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. The uranium thesis is powerful but episodic, so the representative needs both secular sponsorship and a clean tactical entry. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Neutral stance. Oil starts with energy breadth, volume-confirmed breakouts, 13W relative strength, inventory/supply sensitivity, and clear downside to support. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Oil can win hard in reflation but fail fast when demand expectations crack, so volume and support quality matter more than narrative alone. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Favored stance. Oil starts with energy breadth, volume-confirmed breakouts, 13W relative strength, inventory/supply sensitivity, and clear downside to support. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Oil can win hard in reflation but fail fast when demand expectations crack, so volume and support quality matter more than narrative alone. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Headwind stance. Oil starts with energy breadth, volume-confirmed breakouts, 13W relative strength, inventory/supply sensitivity, and clear downside to support. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. Oil can win hard in reflation but fail fast when demand expectations crack, so volume and support quality matter more than narrative alone. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Favored stance. Oil starts with energy breadth, volume-confirmed breakouts, 13W relative strength, inventory/supply sensitivity, and clear downside to support. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. Oil can win hard in reflation but fail fast when demand expectations crack, so volume and support quality matter more than narrative alone. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Headwind stance. Oil starts with energy breadth, volume-confirmed breakouts, 13W relative strength, inventory/supply sensitivity, and clear downside to support. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. Oil can win hard in reflation but fail fast when demand expectations crack, so volume and support quality matter more than narrative alone. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Oil starts with energy breadth, volume-confirmed breakouts, 13W relative strength, inventory/supply sensitivity, and clear downside to support. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. Oil can win hard in reflation but fail fast when demand expectations crack, so volume and support quality matter more than narrative alone. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.

Risk-On Liquidity Expansion / Goldilocks

Headwind stance. Utilities & Infrastructure starts with relative strength versus SPY, rate-aware support, trend stability, grid/power breadth, and failure avoidance. In this macro condition, leadership and sponsored continuation get paid; unsupported overextension is still penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. This sleeve should behave like defensive infrastructure plus AI-power demand, so it must prove it is leading rather than merely lagging less. When liquidity and risk appetite are strong, the market can keep rewarding winners, but volume must confirm that the move is owned rather than chased.

Reflation / Late-Cycle Reflation

Headwind stance. Utilities & Infrastructure starts with relative strength versus SPY, rate-aware support, trend stability, grid/power breadth, and failure avoidance. In this macro condition, breakout breadth, cyclicality, commodity participation, and volume confirmation move up the stack; rate-sensitive duration gets a higher hurdle. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Headwind means the category is capped unless it shows exceptional basket confirmation, relative strength, and volume sponsorship. This sleeve should behave like defensive infrastructure plus AI-power demand, so it must prove it is leading rather than merely lagging less. Reflation can broaden leadership into real assets, but it can also pressure long-duration growth if yields rise too quickly.

Disinflation / Slowdown

Favored stance. Utilities & Infrastructure starts with relative strength versus SPY, rate-aware support, trend stability, grid/power breadth, and failure avoidance. In this macro condition, quality pullbacks, support defense, risk/reward, and improving momentum matter more than raw chase momentum. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. This sleeve should behave like defensive infrastructure plus AI-power demand, so it must prove it is leading rather than merely lagging less. Slowdown risk makes unsupported breakouts fragile, while falling yields can reward assets with clean support and improving sponsorship.

Stagflation Risk

Neutral stance. Utilities & Infrastructure starts with relative strength versus SPY, rate-aware support, trend stability, grid/power breadth, and failure avoidance. In this macro condition, scarcity, real-asset sponsorship, SPY-relative strength, and volume at support are emphasized; multiple-sensitive weakness is penalized. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. This sleeve should behave like defensive infrastructure plus AI-power demand, so it must prove it is leading rather than merely lagging less. Sticky inflation favors hard-asset scarcity and fiscal/geopolitical hedges, but only if price confirms the narrative.

Risk-Off / Crisis / High Stress

Favored stance. Utilities & Infrastructure starts with relative strength versus SPY, rate-aware support, trend stability, grid/power breadth, and failure avoidance. In this macro condition, survival rules dominate: positive relative strength, stable trend, no distribution pressure, and clean downside control. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Favored means macro and narrative are aligned, but the category still needs at least two ETFs confirming and at least one volume-sponsored leader. This sleeve should behave like defensive infrastructure plus AI-power demand, so it must prove it is leading rather than merely lagging less. In stress regimes, the model cares first about avoiding capital impairment; categories must prove they are being defended.

Transition / Mixed

Neutral stance. Utilities & Infrastructure starts with relative strength versus SPY, rate-aware support, trend stability, grid/power breadth, and failure avoidance. In this macro condition, balanced confirmation is required across breadth, support, volume, MACD direction, and relative strength. Final category score then applies the proof-burden layer: 3/2/1 weighted ETF basket, leadership, volume-price sponsorship, persistence, timing, risk/reward, setup quality, and stance/cap rules.

Neutral means macro gets no free vote; the three-ETF basket must win on price, volume, relative strength, timing, and risk/reward. This sleeve should behave like defensive infrastructure plus AI-power demand, so it must prove it is leading rather than merely lagging less. Mixed regimes produce false starts, so the system waits for several forms of evidence to point in the same direction.