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Dollar Carry Trade Strategy Analysis

Analyze dollar carry trade opportunities with Sourcetable AI. Calculate interest rate differentials, currency risks, and potential returns automatically using natural language.

Andrew Grosser

Andrew Grosser

February 24, 2026 • 16 min read

Introduction to Dollar Carry Trade Strategy

September 2022: Fed funds at 3.25% and rising. Japan keeps rates at -0.10%. USD/JPY at 144, a 24-year high. Borrow yen at -0.1%, buy USD assets at 3.25%—350bps carry. The dollar carry trade is a currency trading strategy where investors borrow funds in US dollars at low interest rates and invest in higher-yielding foreign currencies or assets. When the Federal Reserve maintains low rates while other central banks offer higher yields, traders can profit from the interest rate differential—sometimes capturing 3-5% annual spreads or more depending on currency pairs and market conditions.

Traditional carry trade analysis in Excel requires complex calculations tracking exchange rates, interest rate differentials across multiple currencies, rollover costs, leverage impacts, and currency risk exposure. You need separate formulas for each currency pair, manual updates for changing interest rates, and constant monitoring of position sizes and margin requirements. One miscalculation can turn a profitable trade into a losing position sign up free.

Sourcetable transforms carry trade analysis by combining spreadsheet flexibility with AI intelligence. Upload your currency data, interest rate information, and position details, then ask questions in plain English like 'What's my net interest differential on AUD/USD?' or 'Calculate my total exposure across all carry positions.' The AI instantly analyzes your data, performs complex calculations, and generates visualizations showing your risk-return profile. No formulas required.

Whether you're an institutional trader managing multi-million dollar FX portfolios or an individual investor exploring currency opportunities, Sourcetable makes carry trade analysis accessible and accurate. Start analyzing your dollar carry trades today at sign up free.

Why Sourcetable for Dollar Carry Trade Analysis

Excel and Google Sheets force you to manually build carry trade models from scratch. You write formulas for interest rate differentials, create separate sheets for each currency pair, manually input exchange rates, and build complex calculations for position sizing. When interest rates change—which happens frequently—you update dozens of cells across multiple worksheets. When you want to analyze 10 currency pairs simultaneously, you're managing hundreds of formulas and hoping nothing breaks.

Sourcetable's AI understands carry trade mechanics automatically. Upload a CSV with your currency positions, interest rates, and exchange rates, then ask 'Which pairs offer the best interest differential right now?' The AI analyzes all pairs instantly, calculates net yields after rollover costs, factors in your leverage, and ranks opportunities by risk-adjusted returns. What takes 2 hours in Excel happens in 30 seconds.

The platform handles the complexity that makes traditional spreadsheets frustrating. Need to calculate your total dollar exposure across AUD, NZD, MXN, and BRL positions? Just ask. Want to see how a 2% USD rate increase affects all your trades? Ask the AI. Need to visualize your interest income over the next 12 months assuming current rates? Sourcetable generates the chart instantly. The AI chatbot becomes your personal FX analyst, answering questions conversationally while performing sophisticated calculations behind the scenes.

Real-time collaboration means your entire trading team sees the same data simultaneously. When your analyst updates interest rate assumptions in Tokyo, your risk manager in New York sees changes instantly. No emailing spreadsheet versions back and forth. No wondering if you're looking at outdated data. Everyone works from a single source of truth, critical when managing time-sensitive currency positions.

Sourcetable also connects directly to data sources, pulling live exchange rates and interest rate data automatically. Your carry trade analysis updates continuously without manual data entry. Set up alerts for when interest differentials reach specific thresholds or when currency movements threaten your positions. The platform does the monitoring work while you focus on trading decisions.

Benefits of Dollar Carry Trade Analysis with Sourcetable

Dollar carry trades offer compelling opportunities when interest rate differentials are favorable, but successful execution requires precise analysis of multiple moving parts. Sourcetable transforms complex carry trade calculations into simple conversations with AI, giving traders the analytical edge they need in fast-moving currency markets.

Instant Interest Rate Differential Calculations

The core of carry trade profitability is the interest rate differential between currencies. In Excel, you manually enter the US dollar rate (say 5.25%), the target currency rate (like Australian dollar at 4.35%), calculate the spread (-0.90%), then adjust for the number of days, account for rollover conventions, and factor in your position size. Miss one step and your profit projection is wrong.

Sourcetable's AI handles this automatically. Upload your position data and ask 'What's my daily interest income on my AUD/USD position?' The AI calculates the differential, applies the correct day-count convention, factors in your exact position size, and shows your expected daily rollover credit or debit. Change the position size or interest rate assumption, and calculations update instantly across your entire portfolio. When the Reserve Bank of Australia adjusts rates, update one cell and see the impact on all your AUD positions immediately.

  • Carry Return: Net interest differential after hedging cost; USD at 3.25% vs JPY at -0.10% = 335bps gross carry; subtract 3-month forward points (typically 280bps in 2022) = 55bps net carry after full hedge.
  • Unhedged Carry: Going long USD/JPY without hedging earns the full 335bps differential but adds full FX risk; USD/JPY moved from 144 to 130 in Q4 2022, erasing 3+ years of carry in 6 weeks.
  • Sharpe Ratio of Carry: G10 currency carry strategies historically earn 0.4–0.6 Sharpe before transaction costs; high carry pairs (AUD/JPY, NZD/JPY) earn more but with sudden reversal risk during risk-off episodes.
  • Forward Premium Puzzle: High-yielding currencies should depreciate by the interest differential per UIP, but empirically they appreciate or stay flat; this violation of UIP is the source of the carry trade premium.

Multi-Currency Portfolio Risk Analysis

Professional traders run carry positions across 5-10 currency pairs simultaneously—long Mexican peso, Brazilian real, and South African rand while short Japanese yen and Swiss franc. Tracking total exposure, correlation risk, and aggregate interest income across all positions becomes a spreadsheet nightmare. Each currency pair needs separate calculations, and understanding your total dollar exposure requires complex aggregation formulas.

Ask Sourcetable 'What's my total net dollar exposure across all carry positions?' and the AI aggregates everything instantly. It calculates position-level exposure, nets out offsetting positions, shows you concentration risk by currency, and highlights correlation concerns. Want to see which currency contributes most to your interest income? Ask. Need to know how a 5% USD strengthening affects your portfolio value? The AI runs the scenario analysis in seconds, showing exactly which positions gain and lose.

  • Carry Portfolio Construction: Rank G10 currencies by 3-month interest rate differential vs USD; go long top 3, short bottom 3, weight by inverse volatility; this eliminates single-currency concentration risk.
  • Crash Risk: Currency carry strategies exhibit negative skewness and excess kurtosis; the average monthly return is +0.4% but the worst month in 2008 was -18%; Kelly criterion suggests sizing carry at 10–20% of standard mean-variance allocation.
  • Correlation to Risk Assets: Dollar carry trades correlate 0.4–0.6 with equity markets; during equity bear markets, carry also loses as global risk appetite collapses—carry is not a diversifier in the regime where you need it most.
  • VaR of Carry Book: A $100M carry book in USD/JPY at historical vol of 8% has 1-day 99% VaR of $1.47M; but during the 2022 JPY reversion, realized vol hit 18%, tripling the actual daily loss distribution.

Automated Leverage and Margin Tracking

Carry trades typically use leverage to amplify returns—borrowing $100,000 to control $1,000,000 in currency positions. This magnifies both gains and losses, making margin management critical. In traditional spreadsheets, you manually calculate required margin for each position, track your total margin usage, and monitor how close you are to margin calls. When currency volatility spikes and margin requirements increase, you scramble to update everything manually.

Sourcetable tracks leverage automatically across all positions. Upload your broker's margin requirements and position sizes, and ask 'What's my current leverage ratio?' The AI calculates total notional exposure, divides by your account equity, and shows your leverage level. Set up alerts for when leverage exceeds your risk limits. Ask 'How much more can I trade before hitting 10x leverage?' and get an instant answer. The platform monitors your margin usage continuously, warning you before positions become dangerous.

Scenario Analysis and Stress Testing

Carry trades work beautifully in stable markets but can collapse quickly when currencies move sharply. The 2008 financial crisis saw carry traders lose billions as high-yielding currencies plummeted. Smart traders stress-test positions before disasters happen, but building scenario models in Excel means copying worksheets, changing multiple assumptions, and comparing results manually.

Ask Sourcetable 'What happens to my portfolio if the Mexican peso drops 15%?' and watch the AI instantly calculate the impact. It adjusts your position values, recalculates your profit/loss, shows updated margin requirements, and identifies which positions face the biggest losses. Run multiple scenarios simultaneously—peso down 15%, real down 20%, both down together. The AI generates comparison charts showing outcomes across all scenarios, helping you understand your worst-case exposure and plan appropriate hedges.

  • BoJ Yield Curve Control Reversal: When Japan abandoned YCC in December 2022, USD/JPY fell 600 pips in 2 days; stress testing the JPY carry with a 700-pip adverse move against a $50M position = $3.5M loss—exceeds 1-week carry income by 15x.
  • Risk-Off Scenario: During the 2020 COVID crash, USD/JPY fell from 112 to 101 in 3 weeks while carry income was negligible; model this as a -10% scenario on all long carry positions for sizing and stop-loss calibration.
  • Fed Pivot Risk: If Fed signals rate cuts while BoJ hikes, the 335bps differential can compress to 100bps within 12 months; model the P&L impact of a 50% carry reduction combined with 5% adverse FX move to size positions appropriately.
  • Correlation Breakdown: Carry trade crowding means that when one major carry player unwinds (a large hedge fund margin call), all carry pairs move simultaneously; correlation between JPY crosses in a carry unwind event approaches 0.90 versus normal 0.40.

Historical Performance Tracking

Understanding which currency pairs delivered the best risk-adjusted returns historically helps you allocate capital intelligently. Excel-based tracking requires maintaining daily position records, calculating cumulative returns, adjusting for varying position sizes, and building performance charts manually. Most traders skip this tedious work and trade based on gut feel instead of data.

Sourcetable makes performance tracking effortless. Import your historical trade data and ask 'Which currency pair generated the highest Sharpe ratio last year?' The AI calculates returns for each pair, measures volatility, computes risk-adjusted metrics, and ranks pairs by performance. Visualize your cumulative interest income over time. Compare actual results against projections. Identify which pairs consistently outperform and which underdeliver. Data-driven insights replace guesswork, improving your trading decisions over time.

How Dollar Carry Trade Analysis Works in Sourcetable

Sourcetable combines spreadsheet structure with conversational AI, making sophisticated carry trade analysis accessible to traders at any skill level. The platform handles the technical complexity while you focus on strategy and execution. Here's how to analyze dollar carry trades from setup to ongoing management.

Step 1: Import Your Currency Data

Start by bringing your currency position data into Sourcetable. Upload a CSV file with your positions—currency pairs, position sizes, entry exchange rates, current rates, and dates. Include columns for interest rates (both USD and target currency), leverage used, and broker rollover costs. If you're starting fresh, create a new spreadsheet and enter your data directly. Sourcetable recognizes standard FX data formats automatically, so no special formatting is needed.

For ongoing analysis, connect Sourcetable directly to your broker's API or data feed. The platform pulls live exchange rates and position data automatically, eliminating manual updates. Your carry trade analysis stays current without any effort. Set the refresh frequency—every minute for active trading or daily for longer-term positions.

  • Start by bringing your currency position data into Sourcetable.
  • For ongoing analysis, connect Sourcetable directly to your broker's API or data .

Step 2: Ask Questions in Natural Language

Once your data is loaded, start asking questions. Type 'Calculate my interest differential on USD/MXN' into the AI chat. Sourcetable identifies the relevant currency pair, finds the current interest rates, calculates the spread, and displays the daily, monthly, and annual interest income based on your position size. The AI shows its work, so you understand exactly how it arrived at the answer.

Ask more complex questions as you go: 'What's my total interest income across all positions this month?' The AI aggregates interest from every currency pair, accounts for varying position sizes and holding periods, and provides the total. 'Which currency pair has the widest interest differential?' The AI compares all pairs and ranks them. 'Show me my net exposure to emerging market currencies.' The AI categorizes your positions and calculates aggregate exposure.

Step 3: Generate Automatic Calculations and Metrics

Beyond answering specific questions, Sourcetable generates comprehensive carry trade metrics automatically. Ask 'Create a carry trade dashboard' and the AI builds a complete analysis showing interest differentials for all pairs, total portfolio interest income, leverage ratios, margin usage, currency exposure breakdown, and profit/loss by position. Every metric updates in real-time as exchange rates and positions change.

The AI calculates advanced metrics without prompting. It computes your effective annual rate considering rollover costs and broker fees. It shows your break-even currency movement—how much the exchange rate can move against you before interest income is wiped out. For a USD/BRL carry position earning 8% annually, the AI calculates that the real can depreciate up to 8% before you lose money, helping you assess if the interest income justifies the currency risk.

  • "Create a carry trade dashboard"
  • The AI calculates advanced metrics without prompting.

Step 4: Visualize Risk and Returns

Numbers tell part of the story, but visualizations reveal patterns and risks instantly. Ask Sourcetable 'Chart my interest income over the past 6 months' and the AI generates a line graph showing cumulative interest earned over time. See exactly when income accelerated or declined. Ask 'Show my currency exposure by region' and get a pie chart breaking down your dollar exposure to Asia-Pacific, Latin America, Europe, and other regions.

For risk visualization, ask 'Create a payoff diagram for my USD/MXN position.' The AI charts your profit/loss across a range of exchange rate scenarios, clearly showing where you make money (when the peso holds steady or strengthens) and where you lose (if the peso weakens sharply). These visual tools make abstract risk concepts concrete, helping you size positions appropriately and set stop-losses intelligently.

Step 5: Run Scenario Analysis and Stress Tests

Before market turbulence hits, understand your vulnerability. Tell Sourcetable 'Model a scenario where USD strengthens 10% against all currencies.' The AI adjusts all your exchange rates simultaneously, recalculates position values, shows your total profit/loss, and identifies which positions suffer most. Run multiple scenarios—mild USD strength (5%), moderate (10%), severe (20%)—and compare outcomes side by side.

Test interest rate scenarios too. Ask 'What if the Fed raises rates by 0.75%?' The AI adjusts the USD interest rate, recalculates all interest differentials, and shows how your expected income changes. If you're long high-yielding currencies, rising US rates narrow the differential and reduce your advantage. The AI quantifies this impact instantly, helping you decide whether to reduce positions or hedge the risk.

Step 6: Monitor and Adjust Positions

Carry trades require ongoing monitoring as exchange rates and interest rates shift. Set up alerts in Sourcetable to notify you when key thresholds are breached. Get an alert when your leverage exceeds 8x, when any single position represents more than 30% of your portfolio, or when interest differentials narrow below 2%. The AI monitors continuously and alerts you before small issues become big problems.

When you adjust positions, Sourcetable updates all calculations instantly. Close half your MXN position, and the AI immediately recalculates your total exposure, interest income, leverage ratio, and margin usage. Open a new AUD position, and it integrates seamlessly into your portfolio analysis. You always see the complete picture of your carry trade portfolio without manual recalculation.

Step 7: Collaborate and Share Analysis

If you manage carry trades as part of a team, Sourcetable's collaboration features keep everyone aligned. Share your carry trade workbook with colleagues, and they see real-time updates as positions change. Your risk manager reviews your leverage and exposure. Your analyst updates interest rate forecasts. Everyone works from the same data simultaneously, eliminating version control headaches and ensuring consistent decision-making across your trading desk.

Dollar Carry Trade Use Cases

Dollar carry trades serve different purposes for different market participants, from institutional portfolio managers to individual currency speculators. Sourcetable adapts to each use case, providing the specific analysis and insights each trader needs. Here are real-world scenarios where dollar carry trade analysis delivers measurable value.

Institutional Portfolio Diversification

A pension fund managing $2 billion in assets wants to diversify beyond stocks and bonds. They allocate $100 million to dollar carry trades targeting 4-6% annual returns from interest differentials. Their challenge: tracking 15 currency pairs across emerging and developed markets while managing risk limits set by their investment committee. The committee requires daily reporting on leverage, exposure by region, and value-at-risk calculations.

Using Sourcetable, the portfolio manager uploads all FX positions each morning. The AI generates a comprehensive dashboard showing total interest income (running at $4.8 million annually), leverage ratio (currently 4.2x), regional exposure breakdown (45% Latin America, 30% Asia-Pacific, 25% other), and VaR at 95% confidence (indicating maximum expected daily loss of $1.2 million). When the investment committee asks 'What happens if emerging market currencies drop 15%?' the manager asks Sourcetable the same question and presents the AI-generated scenario analysis in minutes. The fund stays within risk limits while capturing attractive interest income, and reporting that once took 4 hours now takes 15 minutes.

Hedge Fund Tactical Trading

A macro hedge fund identifies an opportunity when the Federal Reserve signals rate cuts while the Reserve Bank of Australia maintains high rates. The interest differential widens from 0.5% to 2.5%, making AUD/USD carry trades attractive. The fund wants to deploy $50 million quickly but needs to determine optimal position sizing, calculate expected returns under different scenarios, and set risk parameters.

The trader uses Sourcetable to model the opportunity. She asks 'If I go long $50 million AUD/USD at 5x leverage with a 2.5% interest differential, what's my expected annual return?' The AI calculates $6.25 million in gross interest income (2.5% on $250 million notional). She then asks 'What if AUD depreciates 8% over the year?' The AI shows net profit of negative $13.75 million ($6.25M interest minus $20M currency loss), revealing the trade needs strong conviction that AUD won't weaken significantly. She runs additional scenarios, determines that AUD can drop up to 6.25% before the trade loses money, and sizes the position at $30 million to manage risk. The fund enters the trade with clear risk parameters and profit targets, all analyzed in 20 minutes instead of 3 hours of Excel modeling.

Corporate Treasury Currency Management

A multinational corporation holds $200 million in cash reserves that won't be needed for 12 months. Rather than earning minimal interest in USD money markets, the treasury team considers carry trades to enhance returns. They need to stay conservative—no more than 2x leverage and strict limits on emerging market exposure—while generating better returns than the 4.5% available on US Treasury bills.

The CFO asks the treasury team to analyze options. They use Sourcetable to evaluate 8 currency pairs, filtering for developed markets with stable currencies and positive interest differentials. The AI ranks pairs by risk-adjusted return, highlighting NZD/USD (1.8% differential), AUD/USD (1.5% differential), and NOK/USD (1.2% differential). The team models a $200 million portfolio split across these three pairs with 1.5x leverage, generating an expected 2.4% additional return above USD rates. They ask Sourcetable 'What's the maximum drawdown if all three currencies drop 5%?' and learn the portfolio would lose $15 million, acceptable within their risk tolerance. The corporation implements the strategy, earning an extra $4.8 million over 12 months compared to Treasury bills, with Sourcetable providing daily monitoring and risk reporting.

Individual Trader Income Generation

An experienced retail trader with a $100,000 account wants to generate steady income through carry trades rather than speculating on short-term currency movements. He targets 10-15% annual returns from interest differentials while keeping leverage moderate. His challenge: managing multiple positions across time zones, tracking daily rollover credits, and ensuring he doesn't over-leverage during volatile periods.

He sets up his carry trade portfolio in Sourcetable with 5 positions: long MXN, BRL, ZAR, TRY, and INR against USD, totaling $400,000 notional (4x leverage). Each morning, he asks 'What was my total rollover credit yesterday?' and sees he earned $42 in interest across all positions. He asks 'What's my current leverage?' to ensure he stays within his 5x limit. When Turkish lira volatility spikes, he asks 'What's my exposure to TRY as a percentage of my portfolio?' and discovers it's 28%, above his 25% single-currency limit. He reduces the position immediately. Over the year, his disciplined approach generates $12,400 in interest income (12.4% return) with manageable volatility, and Sourcetable's daily monitoring keeps him within risk parameters without constant manual calculations.

Frequently Asked Questions

If your question is not covered here, you can contact our team.

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What is the USD carry trade and how does it differ from other currency carry strategies?
The USD carry trade uses the dollar as a funding currency (borrow USD at low rates) to invest in higher-yielding emerging market (EM) currencies. USD specifics: (1) Dollar is reserve currency, ensuring deep liquidity for funding. (2) Fed rate cycles create predictable interest rate differentials—when Fed funds rate is 0-2%, carry trades to EM currencies yielding 5-10% generate 3-8% net carry. (3) USD carry has positive correlation to risk-on sentiment (EM currencies appreciate when global growth is strong). (4) USD carry unwinds violently in crises—EM currencies fall 10-30% against USD when risk aversion spikes (2008, 2015, 2020).
Which EM currencies have historically provided the best USD carry trade returns?
Historical carry trade performance by currency pair (2010-2023): (1) USD/TRY (Turkish Lira)—highest nominal carry (20-40%) but worst realized: political risk, inflation, repeated currency crises. Net 10-year return: -200% (massive devaluation exceeded carry). (2) USD/BRL (Brazilian Real)—high carry (8-15%), political risk, occasional crises. Sharpe ratio ~0.3. (3) USD/INR (Indian Rupee)—moderate carry (4-7%), managed float, more stable. Sharpe ~0.5. (4) USD/IDR (Indonesian Rupiah)—moderate carry (4-6%), commodity-linked. Best diversified EM basket: combine India, Indonesia, Mexico, Malaysia for ~5-8% carry with higher Sharpe than individual pairs.
How do you hedge the tail risk of a USD carry trade?
Carry trade crash risk management: (1) VIX-based scaling—reduce carry exposure by 50% when VIX exceeds 25, return to full when VIX < 20. (2) USD momentum overlay—if DXY is appreciating >3% over 3 months, reduce EM carry positions (dollar strength signals carry unwind risk). (3) EM credit spread monitor—if EMBIG spread widens >100 bps over 1 month, exit. (4) Options hedging—buy 3-month 5% OTM USD calls on EM currency baskets. Cost: 0.5-1.5% annually. (5) Maximum drawdown stop: close all positions at 8% portfolio loss; reset after 3-month cooling off. Combined risk management reduces drawdowns from 30-40% to 10-15% at cost of 1-2% annual return.
What is the carry-to-volatility ratio and how is it used to select carry trade targets?
Carry-to-vol = Interest Rate Differential / Implied FX Volatility. A currency yielding 8% more than USD but with 20% implied vol has carry-to-vol of 0.4. Ranking by carry-to-vol identifies currencies where the carry adequately compensates for volatility risk. High-yield + low vol = superior risk-adjusted carry. Historical best performers: currencies with carry-to-vol > 0.5 have generated positive Sharpe ratios. Below 0.25, carry rarely compensates for vol risk. Practical application: screen G10 + EM currencies monthly, rank by carry-to-vol, long top quartile, short (or underweight) bottom quartile, rebalance monthly.
How did USD carry trades perform during the 2022 Fed hiking cycle?
The 2022 Fed hiking cycle from 0% to 4.5% dramatically changed carry trade dynamics. Initially (Q1 2022): USD carry to EM currencies was still positive—many EM central banks had already hiked, maintaining differentials. Mid-2022: Fed's aggressive hiking pace raised USD short-term rates 400+ bps in 12 months. EM currencies fell 10-25% against USD in H2 2022 as capital flowed back to dollar assets. Mexican peso was exception (+1% vs USD in 2022) due to BANXICO rate hikes tracking Fed and strong nearshoring inflows. Bottom line: 2022 was a poor year for EM carry despite high nominal rates because rapid dollar appreciation exceeded the carry earned.
What is the 'peso problem' in carry trade research?
The peso problem (named from 1970s Mexican peso crashes) is a statistical bias in carry trade research: in-sample data shows positive carry returns, but the sample excludes or underweights the rare catastrophic events (currency crises, hyperinflation) that destroy long-term returns. A currency yielding 10% annually for 9 years, then devaluing 80% in year 10, gives negative 10-year annualized returns despite 9 years of positive data. Most carry trade studies spanning 20-30 years may miss 1-2 extreme events per currency. The empirical implication: reported Sharpe ratios of 0.4-0.6 for carry trades are likely overstated by 0.1-0.2 due to peso problem bias.
How much leverage is typical in institutional USD carry trades and what risks does it create?
Institutional carry trade leverage: (1) Spot positions via FX forwards—typical 3-5x leverage (borrowing USD to buy EM assets). (2) Futures-based carry—CME EM currency futures with 2-4% margin allow 25-50x theoretical leverage, though risk managers limit to 5-10x. (3) Carry ETFs—DBEM, CEW are unleveraged. Leverage risk: a 5x leveraged carry trade with 20% currency move = 100% loss of capital. Margin calls during crises force liquidation at worst prices. 2008 example: hedge funds with 5x leverage in USD/JPY and EM pairs lost 50-80% in weeks as correlations spiked to 0.9 and all positions moved against simultaneously. Deleveraging cycles amplify initial moves.
Andrew Grosser

Andrew Grosser

Founder, CTO @ Sourcetable

Sourcetable is the AI-powered spreadsheet that helps traders, analysts, and finance teams hypothesize, evaluate, validate, and iterate on trading strategies without writing code.

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