Sentix
Social and Fun Options Trading Game
Created on 11th January 2026
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Sentix
Social and Fun Options Trading Game
The problem Sentix solves
Sentix solves the problem of complexity and intimidation in financial options trading by transforming it into a gamified, accessible experience.
It addresses the steep learning curve of traditional trading platforms by offering the following solutions:
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Makes Options Trading Simple and Fun
The Problem: Traditional options platforms force users to navigate complex order books, liquidity tables, and option chains, which scares away 99% of beginners.
The Sentix Solution: It replaces spreadsheets with a "Swipe-to-Trade" interface. Users are presented with curated trade cards—swipe right to trade, swipe left to skip. This interaction model reduces cognitive load and focuses the user on one decision at a time. -
Removes Financial Jargon
The Problem: Retail traders often struggle with "The Greeks" (Theta, Delta, Gamma) and confusing terms, leaving them unsure of their actual risk or reward.
The Sentix Solution: The platform abstracts away the math. Instead of raw data, users see clear, human-readable metrics like "Potential Profit", "Max Loss", and "Break-even Price" before they confirm a trade. This transparency ensures users know exactly what they stand to lose or gain, making the experience significantly safer for newcomers. -
Social Feed
The Problem: Even with a simplified UI, new users often face the "blank slate" problem: "I don't know what to trade today".
The Sentix Solution: Users can simply chat with an AI agent (e.g., "I'm bullish on ETH for next week"), and it will scan the market to recommend specific, executable trades that match their intent.
Also, Trading is better together. On our Social Feed, user can share positions, discuss strategies, and even use AI to analyze user friends' or others trader posts. -
Removing the "Lone Wolf" Anxiety
The Problem: Trading can be a solitary and stressful activity, leading to emotional decision-making.
The Sentix Solution: By integrating Tournaments and leaderboards, Sentix turns trading into a community event. Users can compete for rankings and rewards, fostering a sense of belonging and friendly competition that increases engagement and retention.
Challenges I ran into
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Handling Complex Option Math & Collateral Logic
The Hurdle: Translating a user's simple "investment amount" (e.g., $100) into the precise number of contracts required for the smart contract was error-prone, especially given the different decimals for USDC (6 decimals) and Option Prices (8 decimals). Additionally, trades would fail if the calculated size exceeded the available liquidity.
The Solution: Robust calculation logic was built to convert the input amount into USDC units, calculate the number of contracts, and then automatically cap the trade size against the maxCollateralUsable from the order book. This prevents failed transactions by ensuring the trade never asks for more liquidity than is available. -
Real-Time Data Freshness
The Hurdle: Next.js App Router aggressively caches data, which is dangerous for an options trading platform where prices change second-by-second. Stale data could lead to failed trades or bad pricing.
The Solution: The server-side fetching logic was forced to use cache: 'no-store'. This ensures that every time the "AI Trading Buddy" looks for a trade or the user swipes, they are seeing the absolute latest on-chain data. -
Controlling AI Response
The Hurdle: Integrating an LLM (via OpenRouter/OpenAI) that matched the user request was difficult. Early versions of the AI would frequently "hallucinate" or ignore specific constraints set by the user
The Solution: Instead of letting the AI generate the trade details specifically, the system was re-architected to use Function Calling (Tool Use). The AI's role was restricted to simply extracting the user's intent (e.g., "minExpiryDays: 2") and passing it to a find_trade function. The actual trade selection is now handled by deterministic code that mathematically filters the live Thetanuts order book, ensuring the suggested option matches the user's request exactly before it is presented.
Tracks Applied (1)
Thetanuts Finance Track
Technologies used