π©» Lesson 4: My Free Revolutionary Indicator, The Macro Paradox, Explained In Detail
Tracking Global Liquidity and DXY for 90% Trend Accuracy
To Smart Investors,
While The Oracle Indicator already contains this, displayed differently (right below the chart), Iβve released the indicator called The Macro Paradox publicly because itβs more convenient to have it in a window at the bottom of the screen.
Iβm releasing it publicly since the value my paying users are getting is 100x times this,Β especially with the upcoming SaaS.
In short,Β Itβs a macroeconomic leading indicator that can predict whatβs happening to the asset with a 4-7-day lead.
Letβs goooooooooo!!!
This Time, Weβre Starting With An ELI5
Macro Paradox v2 Explained Simply (but Thoroughly)
If youβre new to economics or trading, hereβs a simplified version of how the Macro Paradox v2 indicator works and why itβs so special:
1. What is βMacro Paradox v2β?
Itβs a tool that looks at:
Global liquidity (money coming from major central banks like the Federal Reserve or Bank of Japan).
Credit market sentiment (using an ETF called HYG, which holds risky corporate bonds).
The U.S. Dollar Index (DXY), which measures the dollarβs strength against a basket of other currencies.
It then mixes these pieces together to produce two lines on a chartβone red, one greenβthat can give you an early warning (4β7 days ahead) of where the stock market, especially U.S. stocks (e.g., S&P 500), might be headed.
2. Why Does It Look at These Things?
Global Liquidity: When central banks print money or buy bonds, they pump liquidity into the market. More liquidity often means stocks can go up.
HYG: This is high-yield (riskier) corporate debt. When investors are brave, they buy HYG. That usually signals risk-on (stocks up). When theyβre scared, HYG falls.
DXY (Dollar Index): A strong dollar can sometimes make stocks fallβbut not always. Sometimes a surging dollar means foreign money is pouring into U.S. assets, which can boost stocks. So, its effect can be paradoxical or surprising.
3. How Does the Indicator Combine Everything?
It normalizes each data point (turns them into a 0β100 scale).
It smooths those values using two exponential moving averages (like a quick filter, then a slower filter).
It weights these lines based on how far your chosen ticker (like SPY) is from its own 20-day EMA. Basically, if SPY is above its 20-day EMA, the indicator amplifies the signals; if SPY is below, it dampens them.
In the end, you see:
Red Line: A combination of global liquidity + HYG.
Green Line: The dollar index (DXY).
4. Reading the Lines (the βParadoxβ)
Green going up, Red going down: It often predicts a bullish move in the stock market within a few days.
Red going up, Green going down: Can also mean a bullish setup, but sometimes with a twist. Liquidity is rising, dollar is weakening, which can take a few days before stocks catch on.
Thatβs why itβs called a paradox: a rising dollar (green line going up) doesnβt always kill stock rallies. Sometimes it foretells a new push higher for stocks.
5. Using It
Watch for Crosses (when the green line goes above the red, or vice versa).
Note Divergences (if one line keeps climbing while the other drifts down).
Expect a 4β7 day lead time.
This indicator doesnβt replace your strategyβit enhances it. Combine it with your usual buy/sell signals to get a clearer picture of the marketβs direction. Over time, youβll see how these macro signals can βtip you offβ before the crowd notices.
Thatβs the Macro Paradox v2 in simpler termsβa unique, often counterintuitive preview of what might happen next in stocks.
Unraveling the βMacro Paradox v2β: A Revolutionary Leading Indicator for Market Moves
Introduction
Financial markets often appear to move in ways that are either contradictory to intuition or take place ahead of commonly watched economic signals.
The Macro Paradox v2 indicator taps into an intricate βmacro plumbingβ system, combining global liquidity data from multiple central banks, money-market conditions (via RRP and Treasury General Account balances), and credit-market proxies (like HYG).
Then, surprisingly, it uses DXY (the U.S. Dollar Index) as a paradoxical signal that can precede equity moves by several days.
Despite the old mantra that βa stronger dollar is bad for equities,β this tool shows that changes in the dollar often lead equity-market movementsβespecially U.S. dollarβdenominated equities like SPYβby 4β7 days.
By the end of this deep dive, youβll grasp:
Why the indicator can be paradoxical (green line going up can imply bullish equity movement).
How the macro plumbing is captured (global liquidity + HYG minus RRP/TGA, combined with DXY).
What key signals to look for (line crosses, divergences, or certain line βorderβ on the chart).
How this advanced, leadingβindicator concept meshes with your trading strategy or other signals such as The Oracle (the companion buy/sell opportunity detector).
This article is quite detailed, because while the average trader might only need a broad understanding of βwhat to do,β thereβs real power in seeing how these signals come together. Let's start by understanding the plumbing that underpins the code.
1. Macro Plumbing: The Foundations
1.1 Global Liquidity Sources
Japan Liquidity: Pulled from the FRED:JPNASSETS multiplied by JPYUSD to convert to USD terms.
China Liquidity: From CNCBBS multiplied by CNYUSD.
US Liquidity: From FRED:WALCL (the Fedβs balance sheet).
Euro Liquidity: From ECBASSETSW multiplied by EURUSD.
UK Liquidity: From GBCBBS multiplied by GBPUSD.
These data points collectively represent major central banksβ balance sheets, converted to U.S. dollars. The logic: central bank asset expansions can indicate looser monetary conditions, while contractions suggest tightening.
1.2 The βSubtractorsβ: RRP and Treasury General Account
RRP (
RRPONTSYD
) stands for the Reverse Repo operations the Fed conducts. Money parked here is effectively βsiphonedβ out of the system.TGA (
WTREGEN
) is the Treasury General Account; when it has a high balance, it means the U.S. Treasury is holding on to cash that might otherwise be circulating in the broader economy.
So, the net global liquidity measure is essentially:
NET GLOBAL LIQUIDITY = (Japan + China + UK + US + Euro) β (RRP + TGA)
This single figure attempts to reflect how βflushβ global markets are with capital.
1.3 HYG as a Credit-Market Proxy
The indicator also includes HYG (High Yield Corporate Bond ETF). High yield bonds reflect the credit marketβs appetite for risk. The logic is: if credit markets are bullish, they will bid up HYG. Therefore, HYG is often correlated with stock movements but sometimes leads them, especially when thereβs a shift in risk sentiment.
2. The Paradoxical Dollar (DXY)
2.1 DXYβs Usual Narrative
Commonly, a rising DXY (U.S. Dollar Index) is thought to be bearish for U.S. equities, because it can tighten financial conditions. However, the reality is more nuanced:
A strong dollar can temporarily draw in foreign capital, fueling equity rallies.
A sudden shift in DXY often precedes adjustments in global risk behavior.
Thus, we integrate DXY into the indicator, not because a higher or lower dollar directly tells you βbuy or sell,β but because the change (and shortβterm momentum) in DXY can predict certain inflection points in the equity markets.
2.2 Normalizing DXY
We measure DXY on a daily timeframe, and then normalize it on a 0β100 scale over a short lookbackBars
window (default = 5 days). This effectively βsquashesβ the dollarβs near-term movement into a simplified scale, making it easier to compare with liquidity data on similar terms.
3. Indicator Construction: Step by Step
Letβs break down the essential transformations in the code:
Normalization (0β100 Range)
Each of the main data feedsβTotal Global Liquidity and DXY, plus HYGβis individually minβmax scaled over the chosen lookback period (lookbackBars = 5
by default). This results in each data set being somewhere between 0 and 100.Double EMA Smoothing (MACDβStyle)
Each normalized series is then passed through a twoβstep exponential moving average: a fast EMA (smoothLengthFast
) followed by a slow EMA (smoothLengthSlow
). Default values are 5 and 10, respectively, which helps reduce noise.Combining Global Liquidity & HYG
After the smoothing, HYG is assigned a weighting factor (hygWeight
), and itβs added to the global liquidity data. The defaulthygWeight=20.0
significantly boosts HYGβs influence. Then we divide by(1 + hygWeight)
so that the final scale remains in a range around 0β100.Applying a βWeight Factorβ Based on the Chartβs Ticker
We compute an EMA of the chartβs ticker (default length = 20).
Then we find the ratio
close / myTickerEma
.We raise this ratio to a power (
weightPower = 3.0
), generating aweightFactor
.This
weightFactor
is multiplied by both the combined liquidity line and the DXY line. Essentially, when the chartβs closing price is above its own 20-day EMA, the indicator lines can get amplified or dampened differently.
The result:
Red Line =
(Global Liquidity + HYG) * weightFactor
Green Line =
DXY * weightFactor
4. How to Read the Lines
The indicator plots two lines in a separate pane:
Red Line β Global Liquidity + HYG (Weighted)
Green Line β DXY (Weighted)
4.1 Basic Interpretation
Green Line Up, Red Line Down: Paradoxically, this scenario often signals bullish* conditions in U.S. equities (e.g., SPY). Why? Because it implies:
DXY is gaining strength relative to its short-term range (and under certain conditions, foreign capital can chase U.S. assets).
Global liquidity conditions (plus credit appetite) are not currently spiking, or might even be pulling back slightly, leaving an opening for equities to climb before liquidity starts playing catchβup.
Red Line Up, Green Line Down: This can be a signal that global liquidity is on the rise while the dollar is weakening. Eventually, thatβs also bullish for equities, but the near-term effect can be a βwaiting periodβ where markets might not respond immediately. One might see a brief consolidation or mild pullback in equities before the liquidity wave lifts them.
Yesβthis can feel contradictory to the usual narrative. Hence, βparadoxical.β
4.2 When the Lines Cross
Green Crosses Above Red: Watch for potential near-term equity weakness turning into bullishness with a short lag (4β7 days). Sometimes the market dips initially when DXY rises, only to rebound strongly as this βdollar leadershipβ triggers a rotation into U.S. equities.
Red Crosses Above Green: Could signal that liquidity is surging faster than DXY. In many cases, you might see the market continue to push higher, but keep an eye out for a potential βbreatherβ if the dollar is giving up ground.
Always remember: the code uses an advanced weighting that accounts for the tickerβs relationship to its own 20-day EMA. If the ticker is in a strong uptrend (close well above EMA), these signals can be more pronounced; in a sideways or slightly downward environment, the weight factor can shift the linesβ intensities.
5. Why It Leads the Market: The 4β7 Day Delay
Many traders, upon first using Macro Paradox v2, are surprised by its βleadingβ quality. Why does it lead?
Liquidity moves often show up in risk assets with a slight lag. Central banks expand or contract balance sheets, and it takes days for the effect to ripple into equity prices.
Credit market sentiment (HYG) tends to move before equities do, since institutional players frequently reposition in bonds before rotating into or out of stocks.
DXYβs short-term momentum can reflect large players shifting currency exposure or hedges in anticipation of equity flows.
When we blend these signals and scale them by how strongly the chartβs price is diverging from its own 20-day EMA, we get a compressed, predictive measure. Thatβs where the 4β7 day βhead startβ often appears.
6. Usage Scenarios and Examples
Below are several βrealβworldβ scenarios you might see on your charts:
Case 1: Red (top) moves downward, Green (bottom) moves upward
Often leads to a bullish equity move within a few days. You might see SPY or your chosen ticker start rallying after this cross or divergence. The best signals occur when the weighting factor (close vs. 20-day EMA) is >1 (indicating the ticker is trading above its EMA).
Case 2: Both Lines Rising, but Green is Rising Faster
This might indicate a short-term surge in the dollarβs relative strength plus a steady improvement in liquidity. There can be a βchoppyβ environment for a few days, but typically the momentum sorts itself out with an upside bias. Keep an eye out for crosses between the lines.
Case 3: Lines βDivergeβ β Red heading down, Green heading down
If both go down together, it can foreshadow a risk-off environment. This might imply a slight near-term pullback. But remember the built-in lag: if the red line (liquidity + HYG) is truly dropping, it might take a bit of time for the equity market to react, or for the weighting factor to amplify the move enough to be visible.
Case 4: Lines βCross Over and Reverse Quicklyβ
Whipsaws can occur if there is a sudden central bank action or a rapid shift in bond markets. Sometimes the indicator will give a short-term head fake, especially on extremely high-volatility days. Filtering such noise with your longer-term trend analysis can help.
In all these cases, combining Macro Paradox v2 with your existing triggersβlike The Oracle or other standard TAβcan drastically improve your entry and exit timing.
7. Edge Cases to Watch For
Very Low Lookback Period: With
lookbackBars = 5
, the normalization is quite sensitive to short-term extremes. If you reducelookbackBars
further, you might see more volatility in the lines and possible false signals.Huge Spikes in RRP or TGA: A sudden, large jump in RRP or TGA can distort the βnet liquidityβ calculation abruptly. The red line might tank, or volatility might spike. Wait a couple of days for the βshockβ to smooth out.
Extreme Currency Moves: DXY can have flash moves due to geopolitical events. This can cause the green line to spike. If that spike is not sustained, the market reaction might be short-lived.
Ticker Trading Far Above or Below Its EMA: If your chartβs ticker is extremely overbought (close is way above the 20-day EMA), the weighting factor can inflate the lines. Or, if itβs extremely oversold (close is way below the 20-day EMA), the lines can be suppressed. Keep that context in mind.
8. Integrating with βThe Oracleβ
Macro Paradox v2 is a powerful macro overlay that tells you:
βWhere is liquidity going?β
βHow is the dollar reacting?β
βWhat is the interplay with the tickerβs internal momentum?β
Meanwhile, The Oracle (the companion indicator) zeroes in on specific buy/sell opportunities in an equity, crypto, or other asset. In other words:
Macro Paradox v2 = bigger picture, multi-day leading signals.
The Oracle = more granular tactical approach, scanning price action triggers.
Combining them:
Use Macro Paradox v2 to identify broad windows of likely bullish or bearish pressure 4β7 days ahead.
Then, wait for The Oracle to confirm a local bottom/top or breakout signal. This synergy can yield exceptionally high conviction trades.
9. Why βParadoxicalβ and βRevolutionaryβ?
Defies Traditional Narratives: People assume a rising dollar kills equity rallies. Our data suggests the momentum change of the dollar is more importantβand it can lead equities.
Blends Liquidity and Credit: We arenβt just looking at Fed data; we pull from multiple central banks, minus RRP/TGA, plus HYG for a holistic sense of global risk appetite.
Weighting Mechanism: Tying everything to your chartβs own EMA ratio is a novel approach. It ensures the macro lines adapt to the specific assetβs momentum.
Leading (4β7 Day Lag): Many mainstream indicators lag behind price. Macro Paradox v2 can front-run major moves with up to 90% general trend accuracyβwhen used correctly.
10. Conclusion and Next Steps
By synthesizing diverse macro driversβglobal liquidity, credit appetite, money-market drains, currency strengthβand blending them through a short-term smoothing and weighting algorithm, Macro Paradox v2 delivers a surprisingly clear leading signal for equity markets. Over time, traders have reported consistently better timing when overlaying these lines on their charts and combining them with a proven entry/exit tool like The Oracle.
Key Takeaways:
Watch for Divergences: If red and green go separate ways, especially if one crosses above the other, anticipate an equity move in the coming days.
Embrace the Delay: Expect 4β7 days for the βmacro plumbing signalsβ to trickle down to actual price movement.
Mind the Weight Factor: The tickerβs 20-day EMA relationship intensifies or dampens the signals.
Adapt to Your Style: If you swing trade, this timeframe synergy might be perfect. If you scalp intraday, these broader leads can help you pick your βbiasβ or the side of the trade you want to be on.
Ultimately, the βparadoxβ is that the green (DXY) going up sometimes correlates with equities rallying. In normal narrative, youβd think a strong dollar should kill an equity rally. But it doesnβtβat least not immediately. This subtle leading dynamic emerges from how global capital flows, credit markets, and currency hedging all interactβa multi-layered plumbing that this indicator uniquely visualizes.
Final Note
While you donβt have to memorize all the macro mechanics, understanding the broad strokes behind Macro Paradox will empower you to properly interpret its signals. The indicator is both βclosed sourceβ on TradingView and deeply complex, but itβs built to give traders a simplified visual edge. Add it to your toolkit alongside The Oracle, watch the crossovers and divergences, and see for yourself how this paradox can become your edge in navigating the markets.
Use responsibly, manage your risk, and enjoy the fascinating world of macroβdriven market moves!
May the LORD Bless You and Your Loved Ones,
Jack Roshi, MIT PhD