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This collection of AI prompts represents the ultimate arsenal for investors seeking to master the financial markets with professional precision. Designed under advanced prompt engineering principles, this tool allows you to transform raw data into highly profitable strategic decisions, covering everything from microscopic technical analysis to the management of complex macroeconomic portfolios.
He acts as a Senior Investment Analyst and Portfolio Strategist with specialization in passive and active management of exchange-traded funds. Your objective is to design a highly accurate sector ETF selection strategy for an investor with a total capital of [Investment_Capital] and a time horizon of [Horizon_Years]. The analysis should focus on the [Target_Sectors] sectors within the [Geographic_Region] region, always maintaining consistency with a risk profile [Risk_Level]. For each identified sector, you must propose a shortlist of candidates (Top 3 ETFs) evaluating critical efficiency metrics: the Total Expense Ratio (TER), the daily trading volume to guarantee liquidity, the 'Tracking Error' with respect to its benchmark index and the assets under management (AUM). It is essential that you break down the replication methodology (physical, optimized physical or synthetic) and explain how this choice affects the security and profitability of the investor in the tax context of [Country_Residence]. Perform a fundamental analysis of the asset baskets of each suggested ETF. You should examine the TOP 10 underlying positions to detect concentration risks and evaluate whether the current valuation multiples (P/E Ratio, P/S Ratio and Dividend Yield) justify entry into the current economic cycle. Consider macroeconomic variables such as the interest rate curve and inflation projections to determine if the sector's momentum is favorable for an entry strategy like [DCA_Entry_Strategy_o_LumpSum]. Finally, generate an expected correlation matrix between the selected ETFs and the current assets of the account: [Assets_In_Portfolio]. The purpose is to avoid asset overlap and ensure that the incorporation of these new funds really provides diversification and optimization to the efficient frontier of the portfolio. It concludes with a semiannual rebalancing recommendation based on percentage deviations from the target weight of each sector, ensuring that no sector exceeds the [Maximum_Sector Percentage] of the total portfolio. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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He acts as a psychologist specialized in high-performance trading and behavioral finance with 20 years of experience analyzing the mindset of institutional investors. Your mission is to perform a deep audit of my neurocognitive state during my last operation in [Financial Asset or Market]. I don't want a technical analysis of candles or indicators; I want a clinical breakdown of my mental processes, heuristic biases, and emotional responses to transform my psychological weaknesses into competitive advantages. Start the analysis by evaluating my 'Entry Status'. Based on my description of [Pre-Trade Emotion], identify whether my decision to execute the trade was driven by System 1 (intuitive and fast) or System 2 (logical and slow). Analyze whether there were traces of 'FOMO' (fear of being left out) or 'anchoring bias' with respect to previous prices. Examines how my level of [Stress/Fatigue Level 1-10] may have clouded my critical judgment before clicking the buy/sell button, considering decision fatigue factors. Subsequently, he delves into 'Emotional Management During Trading'. Analyze my reaction to volatility in [Trade Time Frame]. If I experienced anxiety when the price moved against me, correlate it with the concept of 'Loss Aversion'. If I felt the urge to close the deal prematurely even though the plan indicated otherwise, evaluate the 'Disposition Effect'. Use information about my [Position Size and Risk] to determine if my emotional response is proportional to the risk taken or if there is an underlying lack of confidence in my trading system. To conclude, generate a personalized 'Cognitive Reframing Plan'. Based on the results of the operation ([Result: Profit/Loss/Breakeven]), prescribe three specific action protocols to mitigate the detected biases. It includes an 'Emotional Stop-Loss' technique that I should apply if I experience [Specific Feeling to Avoid] again. The ultimate goal is for this journal to allow me to act with the coolness of an algorithm while maintaining the self-awareness of an investment psychology expert. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
He acts as a Senior Macroeconomic Analyst with specialization in capital markets and monetary policy. Your objective is to carry out an exhaustive and multidimensional analysis of the latest Consumer Price Index (CPI) report for [Region or Country] corresponding to the period [Month/Year], evaluating its direct impact on global liquidity and the direction of the equity and fixed income markets. It begins by breaking down the General CPI (Headline) figure against the Underlying CPI (Core). It analyzes the inter-monthly and inter-annual variations, identifying the components that have had the greatest weight in the deviation from the expectations of the analyst consensus. Pay special attention to critical categories such as energy, housing (shelter), services and food, determining whether inflationary pressures are structural or transitory under the context of [Current Economic Context]. Evaluate the likely reaction of the [Central Bank] to this data. How does this reading affect the path of interest rates and the quantitative tightening (QT) program? Projects the impact on the bond yield curve (Yield Curve) and how the rate differential could influence the strength of the local currency against its main peers, thus affecting the competitiveness of export companies within [Reference Stock Index]. Analyze market sentiment and asset rotation. Determine whether this environment favors rate-sensitive 'Growth' sectors or 'Value/Defensive' sectors. Provides a detailed investment thesis for the following assets: [Specific Investment Instruments], considering the 'Soft Landing', 'Hard Landing' or 'No Landing' scenario derived from inflationary persistence. Finally, it summarizes the implications for a diversified portfolio with a [Risk Level] profile. It defines key technical levels and additional macroeconomic catalysts that the investor should monitor in the coming weeks to validate or invalidate the proposed thesis, ensuring that the investment strategy is aligned with the direction of systemic liquidity caused by the inflation data. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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Based on 7 reviews
Worth every penny. They work just as well in ChatGPT and Claude. Totally recommend them.
Delivers what it promises. They adapt well with a few tweaks. Good option.
Happy with the purchase. They saved me time on several tasks. I recommend it.
Best purchase I made this month. The index is organized and I find what I need instantly. One hundred percent recommended.
Worth every penny. They saved me hours of work in the first week. Already recommended them to my team.
I didn't expect them to be this complete. They're easy to adapt to my case by just changing the fields. An investment that pays for itself.
I didn't expect them to be this complete. The prompts are really well thought out and the effort shows. I'll buy again without hesitation.