Forex Trading Masterclass

Summary

Jay Medro argued that FX and other markets should be analyzed through macroeconomic drivers, capital flows, volatility, and cross-asset relationships—not chart levels alone. He described currencies as reflecting relative economies and interest rates, and said a trader’s edge must adapt as new data, news, and positioning change.

The market observations and trade ideas were specific to the webinar session, not presented as evergreen conditions. Medro initially described FX and US equities as risk-on despite geopolitical headlines, but later characterized conditions as somewhat risk-off and said he was waiting for confirmation before entering a gold trade.

Trading Framework and Methodology

• Build a process before choosing trades: Medro said his team runs a macro model over the weekend to identify markets to watch, then monitors incoming economic data against expectations and new developments in sentiment.
• Assess capital flows and risk appetite: He uses FX strength and weakness across multiple timeframes and checks equities, volatility, bonds, oil, the dollar, and USD/JPY for risk-on or risk-off signals. He also emphasized checking market breadth—for example, whether a Nasdaq move is broadly supported or driven by a few large constituents.
• Identify what drives the instrument: Examples included interest-rate differentials for FX, the business cycle for AUD/JPY, and the US dollar and real yields for gold. Medro described rising oil as a possible indicator of inflation pressure, which can affect gold and bond yields.
• Use options-implied volatility to frame risk: He said stop distances should reflect the volatility expected for the specific asset and time horizon. ATR can be a useful historical reference, but he viewed forward-looking implied volatility as more informative.
• Treat levels as context, not automatic signals: The discussion covered MenthorQ’s high-wall and zero-DTE levels, day max/min, GEX, and “blind spot” levels. Medro described these as potential areas of support, resistance, liquidity, or accelerated price movement—not guaranteed reversal points.
• Read volume and price response: He looks for evidence of institutional participation in volume and whether buyers or sellers are effective. A possible long setup, for example, would require sellers to exhaust, buyers to appear, and price to respond positively. He cautioned against “catching a falling knife.”
• Account for options-market hedging: Medro explained that market-maker hedging can influence the underlying as option deltas change. A level may hold or turn price, or hedging flows may accelerate a move through it (“slippy” behavior). Fabio added that options activity and hedging have grown in importance.
• Wait for confirmation and adapt the trade: The presenters emphasized patience. Levels alone were not considered sufficient reason to enter; traders should account for the broader market context, news, and price and volume behavior.
• Size by risk and reward: In a hypothetical setup, Medro described risking 1% of the account for a 1.5% target, calculating position size and stop placement from the distance to the target and the market structure. He also said to adjust stops for volatility.

Trade Examples Discussed

• Gold: Patrick described an A+ setup using a high-wall/zero-DTE level with a day max/min target. Medro initially considered a long but reassessed it after observing institutional selling, a stronger dollar, and conflicting cross-asset signals. He said he would wait for dollar weakness and signs that sellers were exhausted. He also discussed a possible intraday range trade using liquidity and volume-profile areas.
• NZD/CAD: Medro identified the Canadian dollar as relatively strong and the New Zealand dollar as weak, suggesting a potential short bias. He described an “inside day” setup involving a move from value-area high through the point of control toward value-area low, subject to a sell signal.
• FX generally: He said traders should think in terms of economies and relative currency strength rather than trading currency pairs without understanding their underlying drivers.

Key Figures and Market References

• USD/JPY: Medro cited US rates of about 4.25% versus Japan at 0.5%, using the pair as an example of how interest-rate differences can influence FX. He said the chart history he was showing began in 2009.
• AUD/JPY: Presented as an example of a pair that can reflect relative business-cycle conditions in Australia and Japan.
• Implied volatility: Medro said options pricing can be used to estimate a roughly 68% probability range for an asset over a selected period.
• VIX: He cited a reading around 20.78–20.8, contrasting it with levels around 12, 10, or 9. He framed 20.8 as a much more volatile trading environment and explained that the VIX reflects S&P 500 options-implied volatility over a rolling 30-day horizon.
• Gold volatility: He cited implied volatility of roughly 19.87%, or about 20%, over the coming year.
• S&P 500: Medro cited a historical annual return of about 8.5%. He also described an example of investing $1 million at a 4.25% rate, yielding roughly $42,500 before considering applicable tax and investment details.
• ES: He referred to the ES front-month contract around 6,050 and described the US equity market as near all-time highs at that point in the session.
• Nvidia options example: A hypothetical 30-day $110 call costing $5 per share has a stated breakeven of $115. At 100 shares per contract, the premium is $500. The example illustrated how a market maker may hedge as an option’s delta changes.
• Market structure and execution: Medro said FX liquidity is generally greater during the London session and especially during the London–New York overlap. He also emphasized scheduled data releases and the hour and half-hour as times when market activity may change.
• Algorithmic trading estimates: Fabio cited roughly 80–90% of options-market execution as involving market makers. Medro cited a JP Morgan estimate that about 90% of US equity flows were rules-based and algorithmic. These were presented as estimates during the discussion.
• Other references: Medro described a market-maker position in a BMW bond as one that would need to be disposed of within three months, and mentioned the Baker Hughes rig count as an oil-market indicator. He referred to an FOMC meeting that week and discussed the Japanese carry trade as a risk topic.

Assets, Instruments, and Markets Mentioned

• FX: USD/JPY, AUD/JPY, EUR/USD, USD/CAD, and NZD/CAD; the Australian dollar, New Zealand dollar, Japanese yen, Swiss franc, Canadian dollar, and US dollar.
• Commodities: Gold, oil, and bitcoin. Medro characterized gold as behaving like a currency and bitcoin as a commodity, citing its energy-intensive production and volatility.
• Rates and credit: US Treasuries and government bonds, bond yields, BMW corporate bonds, and credit default swaps (CDS).
• Equities and indices: S&P 500, ES futures, Nasdaq/NQ, Russell, Dow, transportation index, Nvidia, Apple, and McDonald’s.
• Options and derivatives: Calls, puts, futures, implied volatility, delta, gamma, GEX levels, and zero-DTE levels.
• Other indicators: VIX, dollar index, volume profile, value-area high/low, point of control, ATR, and the Baker Hughes rig count.

Cautions and Disclosures

• Medro cautioned that models cannot anticipate every shock. Unexpected geopolitical developments, political announcements, or other new information can temporarily overwhelm fundamental models and technical levels.
• He advised against entering solely because price reaches a level, chasing missed trades, or trading without understanding market drivers and the economic calendar. He stressed drawdown control and said professionals prioritize avoiding losses, not just maximizing returns.
• Jay Medro said he was not paid for his positive comments about MenthorQ and that he uses the product.
• No explicit “not financial advice” disclaimer appears in the subtitles.

Presenters and Sources

The presenters were Fabia/Fabio (the host’s name is rendered inconsistently in the subtitles), Patrick, and Jay Medro. MenthorQ and Jay Medro’s institutional-market experience were discussed. Medro also referenced prior work at Lehman Brothers, Nomura, and Tullett Prebon, as well as projects involving PIMCO.