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This is the live question that starts the workflow: Runes finds the active Mentions event with a matching Gemini buy insight before generating the trade direction.
The scheduled job pulls a live Mentions event, runs the Gemini buy insight, and stores the report that feeds the decision railroad.
Mentions market with a matching AI buy insight.
Gemini prices direction from live market context.
The response carries the JSON the app can execute.
As of August 19, 2026, the most likely outcome is that "Comrade Kamala" resolves to YES following Trump's July 24, 2026, WHCA speech, while the other tracked nicknames resolve to NO. The optimal positioning is to BUY YES on "Comrade Kamala" (COMR) and BUY NO on the other inactive choices, particularly "Crooked Hillary" (CROO) and "Trainwreck" (TRAI).
The tracking period for this Kalshi market runs from July 1, 2026, to October 1, 2026. On July 24, 2026, President Donald Trump delivered his speech at the rescheduled White House Correspondents' Dinner. During this address, he explicitly referred to his political opponent as "Comrade Kamala," satisfying the resolution criteria for the COMR contract. Because this statement occurred publicly during the active tracking period, "Comrade Kamala" is a guaranteed winner.
Conversely, there are no verified public records of Trump uttering any of the other listed nicknames—such as "Crooked Hillary," "Trainwreck," "Fat Slob," or "Rocket Man"—since the market opened on July 1, 2026. With only several weeks remaining before the October 1, 2026, deadline, the probability of Trump resurrecting these older, irrelevant nicknames is exceedingly low, making them high-probability "NO" outcomes.
| Choice | Market Ticker | Model View | Expected Outcome | Trade Direction |
|---|---|---|---|---|
| Crooked Hillary | KXTRUMPSAYNICKNAME-26OCT01-CROO | Low | Resolves to NO | BUY NO |
| Piggy | KXTRUMPSAYNICKNAME-26OCT01-PIGG | Low | Resolves to NO | BUY NO |
| Fat Slob | KXTRUMPSAYNICKNAME-26OCT01-FAT | Low | Resolves to NO | BUY NO |
| Rocket Man | KXTRUMPSAYNICKNAME-26OCT01-ROCK | Low | Resolves to NO | BUY NO |
| Comrade Kamala | KXTRUMPSAYNICKNAME-26OCT01-COMR | High | Resolves to YES | BUY YES |
| Tampon Tim | KXTRUMPSAYNICKNAME-26OCT01-TAMP | Low | Resolves to NO | BUY NO |
| Marjorie Traitor Greene | KXTRUMPSAYNICKNAME-26OCT01-MARJ | Low | Resolves to NO | BUY NO |
| Egghead | KXTRUMPSAYNICKNAME-26OCT01-EGGH | Low | Resolves to NO | BUY NO |
| Biden Crime Family | KXTRUMPSAYNICKNAME-26OCT01-BIDE | Low | Resolves to NO | BUY NO |
| Low Energy | KXTRUMPSAYNICKNAME-26OCT01-LOWE | Low | Resolves to NO | BUY NO |
| Numbskull | KXTRUMPSAYNICKNAME-26OCT01-NUMB | Low | Resolves to NO | BUY NO |
| Trainwreck | KXTRUMPSAYNICKNAME-26OCT01-TRAI | Low | Resolves to NO | BUY NO |
A massive structural edge exists in KXTRUMPSAYNICKNAME-26OCT01-COMR ("Comrade Kamala"). Since the statement was officially recorded on July 24, 2026, the contract is fundamentally valued at $1.00. However, it is currently trading at a highly mispriced Yes Ask of just $0.08, providing a nearly risk-free 11.5x return on capital. Simultaneously, buying NO on overvalued, highly inactive markets like "Crooked Hillary" (No Ask at $0.43) and "Trainwreck" (No Ask at $0.48) enables traders to generate clean, highly reliable yields on heavily faded nicknames.
The optimal strategy is an independent multi-outcome approach: aggressively buy YES on the severely mispriced "Comrade Kamala" contract to capture near-guaranteed upside. Concurrently, allocate capital to buy NO on "Crooked Hillary" and "Trainwreck" to lock in high-probability yields against stale prices. This diversified structure exploits significant public oversights to maximize asymmetric returns.
{
"event_info": {
"event_ticker": "KXTRUMPSAYNICKNAME-26OCT01",
"event_title": "Will Trump say \"Trainwreck\" before Oct 1, 2026?",
"event_choice_type": "independent_multi_outcome_choice",
"event_outcome": "Trump has already said \"Comrade Kamala\" during his WHCA speech on July 24, 2026, while the other nicknames remain unsaid.",
"confidence_score": 98,
"trade_summary": "Buy YES on Comrade Kamala and buy NO on all other choices.",
"justification": "Trump uttered 'Comrade Kamala' on July 24, 2026, in a public speech, guaranteeing a YES resolution, whereas the other options lack any recorded mentions within the July 1 to October 1, 2026 window."
},
"market_breakdown": {
"KXTRUMPSAYNICKNAME-26OCT01-COMR": {
"market_direction": "buy_yes"
},
"KXTRUMPSAYNICKNAME-26OCT01-CROO": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-PIGG": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-FAT": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-ROCK": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-TAMP": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-MARJ": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-EGGH": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-BIDE": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-LOWE": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-NUMB": {
"market_direction": "buy_no"
},
"KXTRUMPSAYNICKNAME-26OCT01-TRAI": {
"market_direction": "buy_no"
}
}
}
The JSON is the bridge between the LLM and the algorithmic app: each ticker gets a deterministic direction, then the execution engine can route YES or NO trades without rereading the report.
Buy YES on Comrade Kamala and buy NO on all other choices.
The report is only the first layer. Runes converts LLM analysis into deterministic instructions the algorithm can price, validate, execute, and monitor.
Gemini reviews the live event, prices, liquidity, and evidence behind the contract.
Structured output maps each ticker into a deterministic YES or NO instruction.
The algorithm enters only when direction, sizing, and risk rules align.
SYSTEM VITALS
TODAY
7 / 4
live session pulse
WEEK
967 / 202
rolling execution window
MONTH
2,595 / 493
deployed contract count
P/L Rate
win probability calibration
Avg Trade Length
short-duration contract flow
Win Rate
qualified setups closed green
Monthly Equity Change
capital efficiency vs prior month
Runes lets you move from a Kalshi event into its market children, inspect the odds and implied chances, then create the contracts you want to trade. You can build manually through the UI while Runes keeps the position, PnL, and market movement under active monitoring.
Start from a live event, review its child markets, and choose the exact contracts you want to create.
Use the UI to configure YES or NO exposure, sizing, targets, and contract-specific risk rules.
Visualize price, odds, implied probability, volume, and movement across each market child.
Track realized and unrealized PnL, define exits, and keep risk visible as each contract moves.
Compare contract behavior against event metadata, market state, and live pricing signals.
Runes keeps watching created contracts after entry, surfacing changes that matter for execution and risk.
Runes isn't just about executing trades; it's about fostering a mindful trading experience. Equip yourself with tools and resources to navigate the emotional challenges of trading, promoting resilience and clear-headed decision-making.
Capture your trading journey, learn from experiences, and refine your approach with Runes's integrated reflective journaling feature.
Personalize your trading strategies with detailed notes, ensuring clarity and adaptability in your decision-making process.
Stay focused and organized with timely reminders, helping you stay on top of important market events and trading tasks.
Start each trading day with a dose of inspiration and motivation from Runes's daily messages, fostering a positive mindset for success.
Maintain accountability and track your progress through regular check-ins, facilitating reflection and continuous improvement in your trading journey.
Protect your investment and manage risk effectively by setting automated shutdown limits to prevent further losses beyond your predefined threshold.
Access a wide range of automated trading algorithms, including Mean Reversion, Momentum, Breakout, and specialized Insider Trading strategies.
Our system executes trades with unparalleled precision and speed, capitalizing on market inefficiencies instantly.
Deploy new strategies rapidly with ease of configuration, adapting to market shifts with unprecedented agility.
Monitor and act upon public disclosures from U.S. senators, identifying high-conviction trades with a proven track record.
Fine-tune your trading approach by adjusting strategy parameters to adapt to changing market conditions and personal preferences.
Designed for horizontal scaling of application instances and efficient queue worker management to handle increasing trading volumes and data loads.
Utilizes Laravel Events and Redis-backed Queues for asynchronous processing of high-volume data, algorithmic executions, and notifications.
Leverages Laravel Echo with Websockets for low-latency market data streaming and instant updates, ensuring you're always informed.
Built on the Laravel Framework (PHP) for a robust, scalable, and maintainable backend, enabling rapid feature development and a clear, modular architecture.
Analyze and refine your trading strategies with AI-driven insights. Runes evaluates entry/exit points, performance metrics, and risk exposure.
Leverage real-time AI analysis to determine optimal buy and sell opportunities using market data, technical indicators, and sentiment analysis.
AI evaluates after-hours activity, macroeconomic conditions, and volatility trends to help traders decide whether to hold overnight or exit at market close.
AI detects high-probability breakouts before they occur by analyzing House Trading, volume trends, and momentum shifts.
Capitalize on overextended price movements with AI-driven pullback detection and mean reversion analysis.
Runes's AI dynamically adjusts MACD, RSI, Bollinger Bands, and Stochastic Oscillator parameters for maximum accuracy.
AI analyzes SEC filings, Senate and House trading disclosures, and institutional movements, allowing traders to anticipate market shifts.
AI extracts insights from breaking news, earnings reports, and global events, ranking their market impact in real-time.
Runes analyzes earnings reports, macroeconomic events, and sector-specific developments, adjusting trading strategies in real-time.
Monitor profit/loss trends, risk-reward ratios, volatility exposure, and execution efficiency — AI helps quantify risk and refine trade sizing.
Runes detects underperforming strategies and applies AI-powered adjustments to redeem and optimize execution.
AI automates profit and loss management schedules, ensuring dynamic reallocation of capital based on evolving market conditions.
Automatically set stop-loss orders based on predefined conditions to limit potential losses in your trading strategies.
Implement trailing stop-loss functionality, automatically adjusting stop-loss levels as your strategy's profits increase.
Protect your profits with automated stop-order protection, triggering sell orders when specific profit targets are met.
Set automated take profit targets, allowing your strategies to capitalize on profit opportunities without manual intervention.
Enable set stop loss after buys configurations, automating profit-taking when specific conditions align with your strategy.
Automatically apply loss mitigation strategies to limit potential losses and safeguard your capital during market downturns.
Set automated take profit targets, allowing your strategies to capitalize on profit opportunities without manual intervention.
Implement automated redemption strategies to identify and redeem underperforming strategies, optimizing your portfolio.
Create and execute automated schedules for profit and loss management, streamlining the optimization of your trading strategies.
Identify and filter "in-play" Equities based on broad criteria and account-specific trading rules.
Retrieve personalized settings including maximum capital allocation and acceptable loss percentages per strategy.
Evaluate Equities against defined entry requirements, including technical indicators and AI-based logic.
Record all relevant parameters upon successful evaluation, initiating the new algorithmic strategy.
Adjust capital per strategy based on historical performance and overall market sentiment for optimized exposure.
Safeguard gains by automatically placing sell orders if profit retraces after reaching a predefined threshold.
Minimize losses by exiting positions below a specified loss threshold with a continued downward trend.
Monitor and sell losing strategies within a "redeemable range" to minimize overall capital loss.
Automatically sell positions when predefined profit or loss targets are met, ensuring disciplined exits.
Utilize advanced technical analysis (EMA, RSI, Pivot Point, MACD) for dynamic and timely loss exits.
Configure strategies to automatically sell at predetermined dates and times, supporting both full and partial quantities.
Receive instant alerts via Discord and other channels on strategy status, profit protection, loss reduction, and exits.
Automatically record every trade executed by Runes, ensuring a comprehensive and accurate history of all your transactions.
Access granular details for each trade, including symbols, average positions, fill prices, and execution times.
Monitor your equity and profits with crystal clarity, allowing you to understand your portfolio's performance at a glance.
Review market conditions at the exact moment of your trades, providing valuable context for learning and refinement.
Utilize advanced filters to analyze trade performance by date, strategy type, market conditions, and other key metrics.
Gain insights from automated trade data to identify successful patterns and areas for improvement.
Maintain comprehensive audit trails for all trading activities, ensuring regulatory compliance and transparency.
Export your trade history and performance data for external analysis or record-keeping purposes.
Runes is an automated prediction market trading platform that allows users to create and execute trading strategies using AI, algorithms, and real-time data. It simplifies trading by automating buy and sell decisions based on predefined criteria.
Absolutely! Runes is designed for traders of all experience levels. We offer user-friendly features and resources to help beginners get started while providing advanced tools for seasoned traders.
Runes supports a wide range of trading strategies, including manual and automated ones. You can set strategies based on technical indicators, price movements, and more to suit your trading style.
Setting automated buy and sell schedules is easy on Runes. Define your parameters, such as profit targets and stop-loss levels, and let the platform handle the rest.
Yes, Runes offers robust risk management features. You can set stop-loss orders, define risk tolerances, and protect your investments while trading.
Runes uses Kalshi's APIs for executing buys and sells, ensuring seamless and reliable order execution on the prediction market.
Absolutely. Runes provides real-time alerts and notifications for strategy events and important market developments, keeping you informed at all times.
Runes offers detailed performance tracking, including statistics and insights. You can analyze profit and loss, strategy efficiency, and historical data to evaluate your strategies.
Yes, we prioritize data security. Runes employs industry-standard encryption and security measures to protect your data and account information.
To get started, sign up for an account on Runes's platform, explore the features, and begin creating and executing your trading strategies. We also offer resources and tutorials to help you on your trading journey.
Every app includes end-to-end trade lifecycle management, from entry to exit, with built-in capital management, risk allocation, and configurable trading rules. Everything you need to run your strategies, out of the box.
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