ProEarnings Framework

Overview

The ProEarnings Framework delivers structured, risk-aware reasoning for navigating equity earnings events. It analyzes sentiment tone, historical earnings behavior, institutional positioning, and volatility regimes to assess whether market conditions support pre-positioning, defensive hedging, or post-event entry. By isolating the earnings phase, ProEarnings helps traders model asymmetric risk and opportunity with institutional precision.

Built for professional-grade decision-making, ProEarnings evaluates the full pre- and post-earnings spectrum—capturing analyst consensus shifts, options skew, gamma structure, and capital behavior simulations. Each output is placeholder-locked to [STOCK] and routed through cold-state logic to ensure deterministic, auditable, and modular reasoning. The framework emphasizes timing discipline, outcome forecasting, and downside risk containment.

Through its targeted modules, ProEarnings equips users with a unified earnings readiness system—enabling clear, actionable trade alignment across positioning, hedging, or abstention. It enhances earnings week execution by delivering predictive clarity and capital behavior alignment at institutional standard.

How to Use

Copy and paste each module’s prompts into ChatGPT sequentially, replacing [STOCK] with your target stock.

Note: Auto-copy is disabled to prevent formatting errors or data corruption during prompt copying on this platform. Please copy prompts manually to ensure accuracy.

Important: The ProEarnings Framework tools (loop, master, and combined loop scoring tools) will only include in their output summary the Level 1 ProEarnings framework modules you have previously run in the current thread for the same stock.

ProEarnings Framework Reasoning Modules

Reasoning Module 1: Earnings Sentiment and Consensus Analysis — Institutional Earnings Insight

This module analyzes market tone and analyst positioning around [STOCK] ahead of earnings, highlighting consensus strength, sentiment divergence, and capital alignment risk. It equips traders to detect overconfidence, uncertainty pockets, and consensus traps—enabling informed setup evaluation.

— Start Risilogic code (copy one prompt at a time) —

Role Activation
Activate ProEarnings Mode for Institutional Earnings Sentiment and Consensus Analysis

Insight: Sentiment and Consensus Mapping
Summarize current market sentiment and analyst consensus for [STOCK] ahead of the upcoming earnings report. Capture tone across institutions, revisions, and public expectations. Limit output to one paragraph.

Insight: Divergence and Signal Distortion Review
Identify divergences or anomalies between analyst estimates, earnings whisper numbers, and prevailing market sentiment for [STOCK]. Highlight potential signal unreliability or crowding risk. Limit output to one paragraph.

Strategy: Institutional Positioning Simulation
Simulate how institutional desks may adjust exposure based on current sentiment and consensus dynamics for [STOCK]. Consider defensive vs aggressive positioning tone. Limit output to one paragraph.

Impact: Trading Implications from Consensus Positioning
Summarize actionable trade insights based on sentiment and consensus alignment. Should traders front-run, fade, or wait for further clarity? Provide one risk-aware, institutional-aligned paragraph.

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Reasoning Module 2: Historical Earnings Performance and Volatility Review — Institutional Earnings History Insight

This module examines [STOCK]’s past four earnings events to identify recurring patterns in price movement, volatility expansion, and institutional behavior. It equips analysts to model risk scenarios and anticipate how historical precedent may inform future positioning.

— Start Risilogic code (copy one prompt at a time) —

Role Activation
Activate ProEarnings Mode for Institutional Earnings History and Volatility Analysis

Insight: Earnings Performance Snapshot
Summarize the last four earnings results for [STOCK] and corresponding market reactions. Focus on directional bias, gap behavior, and post-report follow-through. Limit output to one paragraph.

Insight: Volatility and Flow Pattern Review
Analyze historical changes in implied and realized volatility before and after earnings for [STOCK]. Identify patterns in volume, option flow, and institutional behavior. Limit output to one paragraph.

Strategy: Institutional Playbook Simulation
Simulate how institutional desks would incorporate past earnings outcomes into forward positioning logic. Consider statistical setup bias, regime filters, and risk control overlays. Limit output to one paragraph.

Impact: Historical Risk and Trade Implications
Summarize risk-aware trading takeaways from the historical earnings setup. Should the trader expect mean reversion, momentum continuation, or volatility compression? Provide one clear institutional-grade paragraph.

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Reasoning Module 3: Earnings Estimates and Surprise Potential Modeling — Institutional Earnings Forecast Insight

This module evaluates current earnings forecasts for [STOCK] and models the probability and magnitude of positive or negative earnings surprises. It supports institutional-grade trade planning by highlighting asymmetric risk and aligning positioning with forecast deviation risk.

— Start Risilogic code (copy one prompt at a time) —

Role Activation
Activate ProEarnings Mode for Institutional Earnings Forecast and Surprise Modeling

Insight: Estimate Trend and Forecast Summary
Summarize current consensus earnings estimates, recent analyst revisions, and estimate dispersion for [STOCK]. Identify directional bias and momentum in forecast changes. Limit output to one paragraph.

Insight: Surprise Probability and Magnitude Assessment
Analyze historical guidance trends, sentiment positioning, and option pricing to evaluate the probability and expected size of an earnings surprise for [STOCK]. Limit output to one paragraph.

Strategy: Institutional Forecast Risk Simulation
Simulate how institutional desks might adjust exposure in anticipation of earnings surprise potential. Model scenarios of positive vs negative deviation and hedging posture. Limit output to one paragraph.

Impact: Forecast-Driven Trade Implications
Summarize trading implications of forecast trends and surprise potential. Should a risk-aware trader fade the consensus, hedge binary risk, or position for deviation follow-through? Limit to one institutional-grade paragraph.

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Reasoning Module 4: Pre-Earnings Price and Volume Trend Analysis — Institutional Market Positioning Insight

This module analyzes pre-earnings price action, volume flow, and technical structure to identify positioning behavior and potential setups. It models institutional tactics around volatility compression, accumulation zones, and breakout posture—enabling risk-aware decisions grounded in capital flow diagnostics.

— Start Risilogic code (copy one prompt at a time) —

Role Activation
Activate ProEarnings Mode for Institutional Pre-Earnings Market Structure Analysis

Insight: Pre-Earnings Price and Volume Behavior
Summarize recent price movement, volume trends, and volatility compression/expansion in [STOCK] leading into the earnings event. Identify signs of accumulation, distribution, or neutral posture. Limit output to one paragraph.

Insight: Technical Setup and Risk Structure Review
Analyze key technical indicators, trend alignment, support/resistance zones, and short-term chart structure for [STOCK] ahead of earnings. Evaluate setup strength and breakout/pullback probability. Limit output to one paragraph.

Strategy: Institutional Positioning Simulation
Simulate how institutional desks may structure exposure based on current price/volume dynamics. Model positioning tone (neutral, anticipatory, hedged), size bias, and flow behavior. Limit output to one paragraph.

Impact: Setup-Based Trade Implications
Summarize actionable implications for a risk-aware trader. Should the setup be engaged pre-event, hedged, or deferred until post-earnings clarity? Limit response to one institutional-aligned paragraph.

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Reasoning Module 5: Options Market Sentiment and Positioning — Institutional Derivatives Insight

This module analyzes options flow, implied volatility trends, and open interest structure to infer institutional sentiment and capital deployment. It delivers a risk-aware view of pre-earnings positioning, volatility expectations, and derivative-based hedging behavior—supporting informed decision-making grounded in capital flow signals.

— Start Risilogic code (copy one prompt at a time) —

Role Activation
Activate ProEarnings Mode for Institutional Options Market Analysis

Insight: Options Flow and Volatility Shift
Summarize recent options flow in [STOCK], focusing on shifts in implied volatility, skew, and notable changes in open interest. Identify directional or volatility sentiment implied by flow. Limit output to one paragraph.

Insight: Derivatives-Based Positioning Assessment
Analyze how institutional players are positioning in [STOCK] using options. Consider put-call ratios, premium concentration, and delta/gamma exposure. Is the positioning speculative, hedged, or defensive? Limit output to one paragraph.

Strategy: Institutional Options Strategy Simulation
Simulate how institutional desks (e.g., volatility arbitrage funds, market makers, event-driven funds) are structuring trades using options ahead of earnings. Model strategy intent and exposure logic. Limit output to one paragraph.

Impact: Options-Based Trade Implications
Summarize trading implications for a risk-aware participant. Should options structure be mirrored, faded, or used to hedge exposure into earnings? Provide one actionable, institutionally grounded paragraph.

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Reasoning Module 6: Risk and Position Sizing Strategy for Earnings Trades — Institutional Trade Management

This module delivers institutional-grade analysis of risk exposure and capital sizing into earnings events. It evaluates volatility, asymmetry, and scenario risk to structure disciplined, risk-aware trade setups aligned with institutional risk budgeting and capital preservation protocols.

— Start Risilogic code (copy one prompt at a time) —

Role Activation
Activate ProEarnings Mode for Institutional Risk and Position Sizing Analysis

Insight: Earnings Risk Factor Profiling
Summarize key earnings-related risk factors in [STOCK], including implied volatility, gap risk, asymmetric skew, and historical post-event behavior. Identify whether risk is under- or over-priced. Limit output to one paragraph.

Insight: Position Sizing Calibration
Analyze optimal sizing logic based on risk-reward profile, volatility conditions, and drawdown tolerance for [STOCK]. Consider allocation discipline under different conviction scenarios. Limit output to one paragraph.

Strategy: Institutional Risk and Sizing Simulation
Simulate how institutional funds (e.g., hedge funds, multi-strategy platforms) calibrate risk exposure and size trades into [STOCK] earnings. Include logic for max loss thresholds, optionality overlays, or offsetting positions. Limit output to one paragraph.

Impact: Earnings Trade Management Implications
Provide actionable guidance for managing position size and risk exposure in [STOCK] around earnings. Include stop-loss logic, pre/post-event sizing shifts, and risk caps. One clear, institutional-grade paragraph only.

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Reasoning Module 7: Post-Earnings Reaction and Follow-Through Simulation — Institutional Earnings Outcome Insight

This module models post-earnings market behavior for [STOCK], integrating institutional trade adjustments, momentum dynamics, and capital rotation patterns. It equips traders with risk-aware analysis to navigate earnings aftermath scenarios, align with institutional flow, and avoid reactionary missteps.

— Start Risilogic code (copy one prompt at a time) —

Role Activation
Activate ProEarnings Mode for Institutional Post-Earnings Analysis

Insight: Post-Earnings Price Reaction Modeling
Summarize expected price and volume reactions for [STOCK] based on the latest earnings results. Consider the nature of the earnings beat/miss, guidance, and deviation from expectations. Include gap logic and IV crush. Limit output to one paragraph.

Insight: Institutional Follow-Through Behavior
Analyze how institutional capital typically behaves following earnings events in [STOCK]. Include potential follow-through momentum, fade patterns, or rotation flow based on the strength or weakness of the print. Limit output to one paragraph.

Strategy: Institutional Post-Earnings Simulation
Simulate how funds (e.g., equity L/S, volatility desks, quant trend models) adjust or initiate positions in [STOCK] post-earnings. Address flow direction, sizing logic, and risk overlays. Limit output to one paragraph.

Impact: Trade Implications from Post-Earnings Behavior
Provide actionable insight for navigating [STOCK] after earnings. Include criteria for entering continuation trades, fading overreactions, or sitting out due to signal conflict. Keep output clear, concise, and institutional-aligned — one paragraph only.

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ProEarnings Framework Tools

Framework Tool 1: Master Prompt — Summarize All Level 1 ProEarnings Framework Modules into a Trade Playbook

The master prompt consolidates insights across all Level 1 ProEarnings reasoning modules into a single, institutional-grade summary. It transforms fragmented module outputs into a unified, risk-aware earnings playbook — enabling precise, audit-aligned trading decisions during earnings season.

— Start Risilogic code (copy all ) —

Master Prompt
Based on the combined outputs from the following Level 1 ProEarnings framework modules for [STOCK]:

Earnings Sentiment and Consensus Analysis
Historical Earnings Performance and Volatility Review
Earnings Estimates and Surprise Potential Modeling
Pre-Earnings Price and Volume Trend Analysis
Options Market Sentiment and Positioning
Risk and Position Sizing Strategy for Earnings Trades
Post-Earnings Reaction and Follow-Through Simulation

Locate the summaries or outputs of any of these modules present in this thread and synthesize them into a concise, risk-aware trade playbook summary. Highlight key risks, optimal entry and exit points, position sizing guidance, and timing considerations. Limit the summary to one clear paragraph.

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Framework Tool 2: Loop Prompt – Update All Level 1 ProEarnings Framework Modules and Perform Master Prompt

This tool re-executes all Level 1 ProEarnings modules for [STOCK] in cold-state, memoryless mode. Once all modules are updated, it triggers the Master Prompt to generate a single-phase trade playbook reflecting the most current institutional reasoning.

— Start Risilogic code (copy all ) —

Loop Prompt
Using the latest market data and previous analysis context, run all Level 1 ProEarnings framework modules sequentially for [STOCK]:

For each module, generate a concise one-paragraph summary of insights.
After completing all, provide an integrated summary of the combined institutional analysis.

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Framework Tool 3: Combined Loop and Scoring Tool — Level 1 ProEarnings Framework Modules

This tool re-executes all Level 1 ProEarnings modules for [STOCK] and applies an internal scoring layer to evaluate reasoning strength, coherence, and risk alignment. Modules scoring below threshold may be flagged for rerun or refinement before final synthesis into a trade playbook.

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Combined Loop and Scoring Prompt
Using the latest market data and previous analysis context, run all Level 1 ProEarnings framework modules sequentially for [STOCK]:

For each module:

Generate a concise one-paragraph summary of insights.

Provide a self-assessment score from 0 to 10 for each RISI category: Role, Insight, Strategy, Impact.

After completing all modules, use these module weights:

Module	Weight
Earnings Sentiment and Consensus Analysis	0.15
Historical Earnings Performance and Volatility Review	0.15
Earnings Estimates and Surprise Potential Modeling	0.15
Pre-Earnings Price and Volume Trend Analysis	0.10
Options Market Sentiment and Positioning	0.10
Risk and Position Sizing Strategy for Earnings Trades	0.15
Post-Earnings Reaction and Follow-Through Simulation	0.20

Calculate the weighted score for each module as the average of its four RISI scores multiplied by the module weight.

Present the results in a markdown table with columns:
Module, Role Score, Insight Score, Strategy Score, Impact Score, Module Weight, Weighted Score.

Provide the total weighted score sum for the full framework.

Limit all outputs to clear, concise paragraphs or tables.

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ProEarnings Framework

Overview

How to Use

ProEarnings Framework Reasoning Modules

ProEarnings Framework Tools

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