Whitepaper

All monetary amounts are denominated in United States dollars unless stated otherwise. Nothing in this whitepaper constitutes investment, legal, or tax advice.

Executive Summary

The cryptocurrency market is undergoing its most significant structural transformation since the DeFi Summer of 2020. For the past half-decade, the dominant paradigm for retail capital has been the perpetual futures contract — a derivative instrument that provided leverage but decoupled price action from fundamental settlement. That era, characterized by high leverage, opaque order books, and adversarially designed market making, is drawing to a close. We call it the end of the Casino.

In its place, a new paradigm is emerging: the Era of Truth. This is defined by the migration of capital toward prediction markets — platforms like Polymarket — where settlement is determined not by the whims of a liquidation engine but by verifiable, real-world facts. However, this migration has exposed a secondary crisis. While the settlement venue has changed, the structural disadvantages plaguing the retail participant have not only persisted but intensified. Retail users still lose to latency, cross-chain friction, slow copy trading and weaker decision support.

BETTER is built around that gap.

BETTER is a token-gated access layer for prediction-market alpha. Today, the live product is the Terminal closed beta: a signal-discovery and one/two-click Polymarket copy-trading interface that funds from supported chains without requiring manual bridging, routes capital into prediction-market-ready balances on Polygon and surfaces high-signal wallet context inside a single product surface. The longer-term vision extends the same access layer into automated vaults and transferable vault receipts, positioning $BETTER holders to passively access the high-frequency strategies previously reserved for institutional operators.

The market thesis rests on a structural observation, not a cyclical one: most retail users do not lose in prediction markets because outcomes are unknowable. They lose because execution quality, timing and decision discipline break down first — and because the infrastructure gap between a retail home connection and co-located institutional-grade execution is measured in physics, not skill.

Part I — The Erosion of Trust: Anatomy of the Perpetual Casino

1.1 The Illusion of Price Action

To understand why capital is migrating to prediction markets, one must first understand what it is fleeing. For the last five years, retail traders have been participating in a game they were mathematically designed to lose. The venue for this game has been the perpetual futures market, hosted on centralized exchanges such as Binance and OKX and decentralized platforms including Hyperliquid, dYdX and GMX.

The central promise of the perpetual market is "price action." Retail traders are sold a narrative: if you can correctly read a chart, identify support and resistance, or predict the macro trend of Bitcoin or Solana, you will profit. The belief is that one is playing a game of skill against other traders.

This belief is structurally false. The retail trader is not trading against a peer. In a standard perpetual futures contract, the counterparty to the retail trade is often a designated Market Maker — algorithmic trading desks at firms like Wintermute or Jump Trading, incentivized to provide liquidity. Forensic analysis and regulatory action have revealed that these entities are not merely passive providers of liquidity. They are active extractors of it.

1.2 The Mechanics of Liquidity Pulling

The primary mechanism of wealth extraction in perpetual markets is "liquidity pulling." This strategy exploits the transparency of the blockchain in DEX environments or privileged data access in CEX environments to systematically target retail leverage.

The process operates in four distinct phases:

Phase 1 — The Bait. The market maker allows the asset price to drift into a technical buy zone. Retail traders, observing bullish chart patterns, enter long positions with leverage of ten to fifty times.

Phase 2 — The Trap. The market maker's algorithms scan the order book and open interest to calculate the weighted average liquidation price of the retail cohort. If millions of dollars in long positions will be forcibly liquidated if the asset drops to a specific price, that price becomes the target.

Phase 3 — The Pull. In a synchronized microsecond event, the market maker withdraws buy-side liquidity from the order book, removing the floor supporting the asset price.

Phase 4 — The Harvest. Simultaneously, a cascade of sell orders is executed. With no buy-side liquidity to absorb them, the price collapses vertically — a flash crash. The price hits the retail liquidation level, triggering stop-losses and forced exits. The market maker then re-enters, buying back the asset at the bottom of the wick.

This cycle explains the "Bart Simpson" chart patterns that plague crypto social media: the price crashes just enough to wipe out the retail position and then immediately recovers. The fundamental value of the asset did not change. The market structure was manipulated to transfer leveraged capital from the retail participant to the market maker.

1.3 Regulatory Validation

For years, this analysis was dismissed as conjecture. In late 2024, the United States Department of Justice, FBI and SEC provided irrefutable confirmation. In a landmark operation, the FBI created a fake cryptocurrency called "NexFundAI" and solicited services from market makers to identify whether they would engage in illegal manipulation.

The results were dispositive. Firms including Gotbit, ZM Quant and CLS Global were caught on record offering "market manipulation as a service." They explicitly described using algorithms to generate artificial volume through wash trading and to manipulate price action to harvest retail liquidity. Eighteen individuals and entities were charged in the international operation. The SEC separately charged three market makers for manipulation of crypto assets sold as securities.

This regulatory action shattered the remaining legitimacy of the perpetual futures market. Retail traders began to understand that they were not bad traders; they were victims of a structurally rigged system.

1.4 Casino Fatigue and the Capital Vacuum

The human impact of this realization is measurable. It has produced a profound casino fatigue. Retail traders are exhausted by being liquidated out of fundamentally correct positions, by the PvP toxicity of a zero-sum environment where failure feels engineered. This fatigue has created a massive demand vacuum for a new venue — a place where the price cannot be wicked. A place where the outcome is anchored to something real.

Part II — The Migration to Truth: The Rise of Prediction Markets

2.1 Binary Settlement as a Structural Alternative

The rotation of capital toward prediction markets, led by platforms including Polymarket, is driven by a desire for definitive settlement. Unlike a meme coin or a perpetual contract — where the price is a floating abstraction subject to infinite manipulation — a prediction market contract is anchored to external reality.

This is the core structural difference: settlement on verifiable facts.

A market maker cannot wick the result of a presidential election. They cannot manipulate the outcome of a central bank decision. The settlement is enforced by an optimistic oracle system that relies on verifiable facts. If a trader holds a winning position to maturity, they are mathematically guaranteed a payout of $1.00 per share. The smart contract cares only about the oracle's resolution.

2.2 Explosive Volume Growth and Institutional Legitimacy

By late 2024 and into 2025, prediction markets evolved from niche experimental protocols into global instruments for probability discovery. Polymarket processed billions in volume, frequently offering odds that outpaced traditional polling and news media in accuracy — achieving roughly 90–95% accuracy at four-hour timeframes. Major publications including Bloomberg, CNN and The Wall Street Journal began citing Polymarket probabilities as primary data points in their reporting.

The 2024 US Presidential Election cycle alone generated over three billion dollars in Polymarket volume on a single event. This legitimacy attracted a flood of retail capital — participants who viewed prediction markets not just as a trading venue but as a way to participate in consequential global events.

2.3 The Brutal Statistical Reality

As the dust settled on the major liquidity events of 2024, an uncomfortable statistic emerged from on-chain data analysis. Despite the settlement fairness of prediction markets, approximately 89% of retail participants realize net losses.

Only 12.7% of wallets are profitable in aggregate. The threshold to be considered an elite participant is revealing in both its accessibility and its relative rarity: achieving a net profit of merely $1,000 places a trader in the top 0.51% of all wallets. The vast majority of the user base is flat or negative, functioning as the yield source for a microscopic tier of professional operators.

The question is not whether prediction markets are fair at settlement. They are. The question is why retail capital still hemorrhages in a venue that cannot be wicked. The answer is the distinction between settlement fairness and microstructure fairness. The settlement is fair. The trading is not. Retail participants are not losing because outcomes are unknowable. They are losing because they are slow, emotionally biased and structurally outgunned before a single order is placed.

Part III — The Physics of Alpha Decay: Why Retail Still Loses

3.1 Alpha Decay Defined

In financial theory, alpha represents the potential for profit in excess of risk. In prediction markets, alpha is generated by information asymmetry — knowing something the market does not yet reflect. However, in the digital age, information travels at the speed of light. Alpha is not a static asset; it is a decaying one. In the context of a central limit order book environment like Polymarket, the half-life of alpha is measured in milliseconds.

When new information breaks — a candidate drops out, a court ruling is published, a data release hits a wire — the correct price of a prediction market contract changes instantly. The window to buy the contract at the old price before the market adjusts is the window of alpha. Once that window closes, the trade is no longer alpha-generative; it is entry into a fully efficient price.

3.2 The Latency Timeline: Human vs. Machine

Consider the anatomy of a breaking news event to make this concrete.

T = 0.000 seconds — The information is published.

T = 0.010 seconds — High-frequency trading algorithms, operated by firms with co-located infrastructure, ingest this data. They do not read the tweet; they scrape the API. Their servers sit in the same data centers as the exchange's matching engines. The algorithm calculates the new probability, fires a buy order for all available liquidity up to the new fair value and executes. Price moves immediately.

T = 0.100 seconds — The order book is consumed. The alpha has fully decayed. The price now reflects the news.

T = 30.000 seconds — The retail trader receives a push notification on their phone or sees the tweet in their timeline.

T = 45.000 seconds — The retail trader opens the Polymarket app, connects their wallet and clicks buy.

The retail trader has bought at the new, efficient price. They are buying from the algorithm that bought at the old price 44.9 seconds ago. The retail trader is not a participant in alpha generation; they are the exit liquidity for the machine.

This is not a matter of intelligence or effort. It is physics. The infrastructure gap between a retail home WiFi connection and a co-located enterprise server cannot be bridged by faster fingers.

3.3 The Fallacy of Manual Copy Trading

A natural proposed solution is copy trading: identify the profitable wallets and replicate their trades. This approach is mathematically ruinous in prediction market environments due to slippage and sequencing.

Consider a straightforward example:

Over hundreds of trades, this slippage tax systematically destroys the equity curve of the copier, even if the master trader maintains a genuine edge. A signal delayed is a signal denied. A copy-trading system that is not latency-optimized is not a copy-trading system; it is a structured way to be the exit liquidity for the signals it is trying to follow.

3.4 MEV: The Sandwich Attack on Slow Execution

A further threat to public-mempool copy trading is Maximal Extractable Value, or MEV. On Polygon and other EVM chains, transaction ordering is controlled by block builders. Predatory MEV bots scan pending transactions in the public mempool. When a large copy-trade buy order is detected:

1. The MEV bot inserts a buy order ahead of it at a slightly higher gas price — the front-run.
2. The copy trade executes at the artificially inflated price.
3. The MEV bot immediately sells behind the copy trade — the back-run.

The copy trader effectively purchases at a price set by a predatory intermediary. The BETTER infrastructure's co-location and direct integration with the trading venue's order book minimizes exposure to the public mempool, structurally protecting user funds from this attack vector.

3.5 Behavioral Biases: The Dumb Money Tax

Beyond latency, retail participants in prediction markets suffer from systematic behavioral biases that algorithms do not share.

The Long-Shot Bias. Retail capital disproportionately flows into contracts priced at one to five cents — the lottery-ticket trade. Studies in behavioral economics consistently show that humans overweight small probabilities, treating a one-percent chance as though it were a five-percent chance. In prediction markets, this means retail traders systematically overpay for low-probability outcomes. The bid-ask spread in illiquid low-probability zones guarantees that even when a long-shot occasionally resolves, transaction costs and slippage erode the edge over time.

Wishcasting. In political markets, retail traders bet on what they want to happen rather than what the data indicates. This skews odds away from true probabilities. When retail sentiment pushes a candidate's implied probability to 60% when the true probability is 40%, the short position becomes a positive expected-value trade. Retail participants, driven by partisan emotion rather than math, donate this edge to the rational actors who take the other side.

Duration mismanagement. Retail traders hold to maturity, exposing themselves to the full volatility and black-swan reversal risk of a prediction contract without being compensated for that risk. Professional operators trade the volatility. They capture the spread repeatedly — buying at $0.40 and selling at $0.42 multiple times across a contract's lifecycle — de-risking before the event resolves. By holding statically, retail participants bear maximum risk for minimum compensation.

Part IV — The Elite Tier: How Sophisticated Participants Extract Value

If 89% of participants lose, the 11% who win are not lucky gamblers. They operate businesses, not bets. On-chain forensic analysis of millions of Polymarket transactions identifies four primary archetypes.

4.1 The Information Insider

The most profitable participant type monetizes information asymmetry. Unlike traditional equity markets, where trading on material non-public information is a federal offense, prediction markets currently exist in a regulatory grey zone that allows insiders — politicians, corporate officers, committee members and their networks — to monetize foreknowledge directly.

The 2024 Nobel Peace Prize market provides a definitive case study. Betting odds for the eventual winner shifted from 3% to 70% approximately nine hours before the official announcement. Norwegian authorities and blockchain analysts focused on wallet "6741," which placed a $50,000 bet with surgical precision. This wallet had never traded before and has not traded since. It was created solely to monetize a specific piece of foreknowledge. The trade was not speculation; it was guaranteed payout collection.

For a BETTER user, the goal is not to be the insider. It is to identify the footprint of the insider — the sudden, high-confidence volume spike from a fresh wallet — and replicate the position instantly, before the broader market prices in the signal.

4.2 The Sweeping Arbitrageur

A dominant strategy employed by high-capital whales is "sweeping the endgame." When an outcome becomes a practical certainty — a candidate publicly concedes, a sports match enters its final minute with a blowout score — the probability token should trade at $0.99 or $1.00. However, due to retail panic, inattention and liquidity gaps, these tokens frequently linger at $0.95 or $0.96.

Sophisticated actors use automated bots to sweep the order book, buying near-certainty contracts in large size. Buying at $0.96 and redeeming at $1.00 minutes later generates a risk-free 4–8% yield. This strategy is inaccessible to retail for two structural reasons: it requires capital large enough to make the absolute dollar return meaningful and these windows exist for seconds. The BETTER system identifies and acts within these windows as part of its automated strategy stack.

4.3 The Cross-Market Arbitrageur (The Sharp)

This archetype exploits discrepancies between prediction market prices and traditional bookmaking or financial exchange odds. If traditional sportsbooks imply a 66% win probability for a team but Polymarket is trading that team at 60 cents, the arbitrage is to buy on Polymarket and hedge on the traditional venue.

The strategy requires real-time data feeds from dozens of off-chain bookmakers, the ability to compute implied odds continuously and the infrastructure to execute quickly when the arbitrage window opens. The BETTER system integrates external signals from traditional markets, recognizing when on-chain wallet behavior is systematically front-running corrections toward the consensus implied by traditional venues.

4.4 The Market Structure Operator

Entities that have generated tens of millions of dollars in realized profit on Polymarket do not simply bet on outcomes. They shape the order book. By acting as market makers — placing limit orders on both sides of the spread — these entities earn the bid-ask difference on every unit of retail flow that crosses their book. They use their capital depth to withstand unrealized drawdowns that would force smaller participants to exit, effectively outlasting retail in a war of attrition. Their profitability derives from volume and flow, not directional accuracy alone.

Part V — The BETTER Solution: Democratising Speed and Access

5.1 The Structural Problem Statement

BETTER was built from a specific observation: it is not possible to teach a retail trader to react in ten milliseconds and it is not economically feasible for most retail participants to purchase co-located server infrastructure in New Jersey or Singapore. The problem of latency and infrastructure gap cannot be solved at the individual level. It requires a pooled, shared-infrastructure approach.

The logical conclusion: if the individual cannot win this game manually, the individual should not play manually. They should delegate to a system designed for the game.

5.2 What BETTER Is

BETTER is not a signal group. It is not a Telegram channel where an analyst tells users what to buy.

BETTER is a token-gated access layer. It is a protocol that sits between user capital and the execution layer of the prediction market, acting as a proxy that replaces slow, emotional, manual execution with structured, low-latency, rule-governed system execution.

Today, that means the Terminal: a closed-beta product where users can fund from supported chains, route capital into Polygon-ready balances, discover high-alpha signals with wallet-level context and place one/two-click copy trades.

Next, that means the vault layer: an automated strategy product where capital is pooled, the system executes on behalf of depositors and user exposure is represented by receipt tokens.

The thesis is simple: if you cannot win this game, let the machine play for you.

5.3 Infrastructure: Sub-Millisecond Latency

Speed is a product feature, not a marketing claim. The BETTER signal-to-execution pathway is designed for sub-millisecond latency through:

Co-location. BETTER's execution infrastructure is deployed in proximity to Polymarket's CLOB matching engine, eliminating the speed-of-light travel time that disadvantages home-based retail users.

Direct API integration. Rather than interacting with Polymarket through a browser interface, BETTER maintains a direct WebSocket connection to the order book feed and the execution API — the same type of direct membrane access used by institutional HFT firms.

Mempool minimization. By routing execution away from the public mempool wherever possible, BETTER reduces exposure to MEV sandwich attacks and ensures that user transactions are not pre-empted by predatory bots scanning pending transactions.

When a signal is validated by BETTER's decision layer, the execution fires faster than a human blink. BETTER is not copying the trade after it happens; in high-frequency scenarios, it executes in the same block or micro-moment as the original signal, capturing the same price before alpha decays.

5.4 The Decision Layer: Two Paths

BETTER does not apply one strategy template to every market. The system distinguishes between two execution paths based on the nature of the opportunity.

Deterministic HFT execution. For fast, rules-based opportunities — endgame sweeping, latency-sensitive insider replication, cross-venue arbitrage — BETTER uses a deterministic execution path with fixed logic. The system follows defined rules, not free-form model output. This is the speed-first path, designed for opportunities measured in seconds.

BRAID-assisted reasoning. For longer-timeframe opportunities — markets with multiple catalysts, extended event windows, or complex probability structures — BETTER uses the BRAID framework from OpenServ. BRAID stands for Bounded Reasoning for Autonomous Inference and Decisions. Rather than allowing a model to produce loose, unstructured output — the hallucination problem that makes general-purpose AI unsuitable for financial execution — BRAID structures model reasoning into a defined decision graph before any trade is authorized.

The Reasoning DAG (Directed Acyclic Graph) for a BRAID-assisted trade looks like this:

If the logic does not hold, the trade does not happen. Bounded reasoning prevents the system from chasing noise, entering tops on momentum, or replicating traders who have lost their edge. The decision is auditable and machine-checkable — not a black box.

5.5 Hard Risk Controls

Beyond the Reasoning DAG, BETTER's strategy layer operates under hard constraints that govern every trade regardless of signal quality:

• Fixed drawdown tolerance: the strategy has a defined maximum drawdown before it pauses execution
• Fractional Kelly sizing: position sizes use a fraction of the full Kelly criterion, reducing the tail risk of ruin while preserving positive expected value
• Liquidity checks: minimum depth thresholds before any order is submitted
• Exposure checks: correlation and concentration limits to prevent the strategy from being overloaded in a single market or direction

A signal alone is never sufficient to authorize a trade. The risk controls make the final determination.

Part VI — The Filtering Engine: Separating Signal from Noise

A fast system that copies bad traders is simply a fast way to lose money. The BETTER filtering engine is the component that ensures speed is applied to genuine edge rather than to noise.

6.1 The Scale of the Problem

BETTER's signal processing pipeline monitors over 40,000 distinct on-chain signals daily across Polymarket, the Polygon mempool and wallet-level trade behavior. The challenge is not access to data; it is distillation. The vast majority of on-chain activity represents either random flow, emotional retail behavior, or traders who were once edge-positive but have since deteriorated.

6.2 The Z-Scoring Engine

BETTER's machine-learning models assign unique weighted scores to wallets using a proprietary Z-scoring mechanism based on the top 1,000 Polymarket wallets. The Insider Score is the output: a normalized, ML-derived quality signal for a wallet's historical behavior. It is not a promise of accuracy. It is a structured basis for determining whether a signal deserves attention.

The metrics composing the score include:

6.3 Elite Trader Archetypes and Signal Classification

BETTER categorizes validated signals into archetypes to enable structured strategy weighting:

By maintaining a dynamically rotating pool of validated wallets across these archetypes, BETTER constructs what is effectively a synthetic index of the highest-quality directional intelligence available on-chain.

6.4 What Gets Filtered Out

The filtering process is as important as what it selects. The system actively excludes:

• Degenerate gamblers: wallets with high absolute PNL from single large bets but no demonstrated statistical consistency
• Momentum followers: wallets that consistently enter after the move, buying stale alpha
• Washed edges: wallets with historically strong performance whose recent equity curve indicates the strategy has deteriorated
• Small-sample outliers: wallets with insufficient trade history to establish statistical significance of their results

Part VII — The Vault Layer: Automated Prediction-Market Exposure

7.1 Status

7.2 The Passive Exposure Problem

The Terminal requires active participation. Users must log in, review signals and execute copy trades. For the majority of users — who, as the behavioral research in Part III demonstrates, are not well-positioned to make these decisions manually — active participation reintroduces the human error that BETTER's infrastructure is designed to remove.

The vault layer solves the passive exposure problem. Instead of asking a user to choose when and what to copy, the vault delegates those decisions entirely to the automated system. The user deposits capital; the system does the work.

7.3 First Vault Design

The current launch direction for BETTER's first vault is:

• One vault first: a single initial vault rather than a suite of specialized strategies at launch
• Fixed-term structure: with defined entry windows rather than always-open deposits
• High-risk profile: consistent with the strategy types the BETTER engine focuses on
• Polymarket-first execution: expanding to additional venues as infrastructure matures
• Batched withdrawals: exits processed in grouped windows, not at any moment
• No partial withdrawals at launch: users exit fully, not in segments

This controlled structure reflects the operational reality of launching a novel automated strategy product: reducing complexity at the initial launch allows robust testing and adjustment before expanding to more complex withdrawal and strategy mechanics.

7.4 Planned Vault Access Flow

1. Meet the current $BETTER access requirement
2. Stake the qualifying amount to enable vault access
3. Deposit capital during the vault's deposit window
4. Track vault performance within the BETTER app
5. Withdraw when the vault's withdrawal window opens

If a user has already staked the qualifying amount for vault access, that same stake also satisfies the Terminal access requirement. The staked position is expected to remain locked until the user fully exits the vault.

7.5 Performance Fee Structure

BETTER plans a 20% performance fee on profit only, charged once at the point of withdrawal.

The fee basis is a wallet-level high-water mark: the fee only applies to new net profit above the highest value that wallet's vault position has previously reached.

In concrete terms: if a user deposits $1,000, the vault grows to $1,100 and the user withdraws, the 20% fee applies only to the $100 gain — not to the $1,000 principal. If the vault subsequently draws down below a prior peak and the user withdraws, no performance fee is charged on that exit.

This structure aligns BETTER's incentive with user outcomes: the protocol earns only when users earn.

7.6 Strategy Controls in Vaults

Vault strategies operate under the same hard risk controls as the Terminal's execution layer:

• fixed drawdown tolerance with automatic strategy pause triggers
• fractional Kelly sizing per position
• liquidity depth requirements before any order
• exposure concentration limits across markets

If a vault strategy is paused due to non-profitability, BETTER intends to make user funds available for withdrawal as quickly as possible under the vault's rules. A failed strategy does not mean trapped capital.

7.7 Audit

BETTER plans to pursue an independent Web3 security audit for vault contracts as quickly as possible before or around launch. Vault mechanics, access rules and fee structures are subject to adjustment based on audit findings.

Part VIII — vBETTER: The Receipt Token Layer

8.1 Status

8.2 What vBETTER Is Designed to Be

vBETTER is the name BETTER uses for future vault receipt tokens. A receipt token represents a share of a specific BETTER vault. If BETTER launches multiple vaults, separate receipt tokens may be used for separate vaults — for example, vBETTER1, vBETTER2 and so on.

The receipt token layer is designed to make future vault exposure:

• Transferable: users can move their vault position without requiring the vault to process a withdrawal
• Accountable on-chain: vault positions become trackable as standard ERC-20 assets rather than internal accounting entries only
• Composable: future integration with DeFi protocols or secondary liquidity becomes possible

8.3 Planned Technical Design

BETTER plans to use Enzyme Onyx as the accounting layer for vault receipt-token infrastructure. The intended design:

• Polygon-based accounting, updated block-by-block
• Automated mint on deposit finalization
• Automated burn on full vault exit
• Full-exit logic at first launch consistent with the no-partial-withdrawal vault design

The vBETTER token is expected to trade on secondary markets once live, potentially at a premium or discount to the implied value of the vault it represents. Premium/discount controls, arbitrage mechanics and secondary-market safeguards are still being finalized.

Part IX — The Decorrelation Thesis: Why Macro Does Not Kill BETTER

9.1 The Core Argument

The prevailing flaw in most crypto portfolios is the illusion of diversification. Most digital assets maintain a beta approaching 1.0 relative to Bitcoin and, by extension, global liquidity cycles. When macro events turn bearish, diversified portfolios collapse in unison.

BETTER's investment thesis is not based on asset price appreciation. It is based on a structural decorrelation from the macro risk cycle.

Prediction-market contracts resolve to exactly $1.00 or $0.00 based on binary truth. The price path to resolution is driven by probability updates, not by whether BTC is $100,000 or $10,000. During risk-off periods, traditional liquidity dries up, perpetuals funding rates deteriorate and retail gets wrecked. Prediction-market volume and volatility typically _increase_ because uncertainty is the fuel.

BETTER does not need bull markets to generate yield. The edges it exploits — short-horizon information flow, endgame sweeping, cross-venue arbitrage — are mechanical and event-driven. They exist in bull, bear and sideways regimes.

9.2 Events Always Happen

The year-round engine of the BETTER strategy stack requires one input: events. Events always happen.

• Federal Reserve decisions occur on a fixed schedule, multiple times per year
• Geopolitical resolutions, escalations and surprises occur continuously
• Legislative votes, regulatory decisions and corporate announcements occur continuously
• Sporting calendars run year-round across global markets

The vault and Terminal rotate across these constantly. The underlying return generation is not correlated to whether the S&P is up twenty percent or down twenty percent. It is correlated to whether consequential events continue to occur — and they do, in every market regime.

9.3 The Scale Argument

As prediction markets grow from billions to tens of billions in volume, the quantity of inefficient retail flow entering the system grows proportionally. A single human trader cannot harvest all available yield; they cannot monitor thousands of markets simultaneously, react in milliseconds, or operate without sleep.

The BETTER system scales with the market. More dumb money entering the system means more alpha for the engine to extract. The vault depositor's return potential grows as the market grows. BETTER is positioned to be the House — the structural counterpart to the retail majority — and the House scales with the size of the casino.

Part X — The BETTER Terminal: The Live Product

10.1 What Is Live Today

As of 6 March 2026, the BETTER Terminal is live in closed beta. It is the only live BETTER product.

The Terminal is a token-gated interface for discovering high-alpha Polymarket signals, reviewing the context behind those signals and placing one/two-click copy trades — without manually bridging assets to Polygon.

10.2 The Funding Flow

BETTER's UDA (Universal Deposit Address) technology, powered by Enclave.money, is the practical implementation of liquidity abstraction. The user starts with USDC on a supported source chain and ends with a balance usable as USDC.e on Polygon for Polymarket trading, without manually bridging.

1. The user logs in. Privy checks whether the connected wallet meets the current $BETTER access requirement.
2. The user opens the Wallet tab and selects a supported source chain. BETTER currently supports Ethereum mainnet and Base mainnet.
3. The user funds with USDC through the UDA flow. BETTER handles the routing.
4. The funded balance becomes usable as USDC.e on Polygon.
5. Terminal trade placement is gas-sponsored by Polymarket. The user needs gas on the source chain to fund, but not to place individual trades.

10.3 The Signal and Copy Trading Flow

Once funded, the Terminal user can:

• Review the live signal feed with wallet-level context
• Inspect signal scoring (Insider Score), liquidity context and trade thesis before acting
• Place one/two-click copy trades against supported signals
• Monitor position and market state within the Terminal

Lite Mode is an optional Terminal configuration that halves the standard $BETTER access requirement in exchange for a 2% fee on the nominal value of each filled copy trade. The fee is charged per fill, not at market resolution. Lite Mode does not change future vault access requirements.

10.4 Current Access and Compliance

• Terminal access currently does not require KYC
• The current closed beta does not use geo-blocking, though this can change
• Access is checked per wallet and per session. If a user sells below the access threshold during an active session, the session can time out
• The docs and the app are the canonical source of truth for the current gate

Part XI — Token Design: $BETTER

11.1 Token Summary

11.2 Allocation and Vesting

Estimated circulating supply is approximately 121,112,384 tokens (public sale plus liquidity allocation, net of team, treasury, OpenServ and programmatic funding wallets). 290,998,061 tokens were burned during the bonding curve launch, reducing total supply from 1,000,000,000 to 709,001,939.

11.3 Access Gate and the Ratchet Mechanism

$BETTER is the access token for both the Terminal today and future vaults. BETTER uses a token-denominated access gate with a permanent downward ratchet: once BETTER reaches a new fully diluted valuation all-time high, the lower access threshold becomes the permanent threshold. It does not move back up if FDV subsequently falls.

Access is checked per wallet and per session. A qualifying stake for vault access also satisfies the Terminal access requirement.

11.4 Trading Taxes

BETTER uses a 2% buy tax and 2% sell tax for interaction with the Aerodrome $BETTER/WETH liquidity pool on Base. Important clarifications:

• This is a liquidity-pool interaction tax, not a wallet-to-wallet transfer tax
• It is separate from the Lite Mode copy-trade fee
• LP tax proceeds are split between BETTER and OpenServ development wallets

11.5 Programmatic Funding Schedule

BETTER's 10% programmatic funding allocation is structured to release capital across FDV bands to support infrastructure, hardware and future model distribution work.

11.6 Treasury, Buybacks and Future Value Flow

BETTER may perform discretionary, rule-based market buybacks and transfer purchased tokens to a burn wallet. Current treasury spending is a majority team decision.

Future revenue lines that may later support discretionary treasury actions, once those products exist, include:

• vault performance fees (20% of profit on profitable exits)
• business-to-business prediction-market data ingestion products
• OpenRouter credit sales for BETTER's planned prediction-market model
• arbitrage and flywheel mechanics around future vBETTER markets
• later-stage products including $TRUTH-PERP

These are future lines, not the current live product set.

Part XII — The Base Chain: Infrastructure Choice

12.1 Why Base

BETTER has chosen the Base blockchain (Coinbase's L2) as the home for $BETTER and the future vault system. This is a strategic choice rooted in cost, ecosystem alignment and user experience:

Low friction. Base offers EVM compatibility with low gas fees, making it suitable for the high-frequency deposit, withdrawal and access-check interactions associated with a vault system.

Consumer crypto ecosystem. Base is aggressively targeting the on-chain consumer market. With prediction-market competitors including Limitless building natively on Base, the liquidity environment on the chain is growing. BETTER's presence on Base positions it within that gravitational field.

Coinbase credibility. Base's backing by Coinbase provides a layer of institutional credibility and potential distribution through the Coinbase product surface that other L2s do not replicate.

UX abstraction. Base supports smart wallet experiences where users do not need to manage complex gas tokens or manual bridging — consistent with BETTER's core goal of abstracting cross-chain friction.

12.2 Cross-Chain Execution

The BETTER system operates across chains in a coordinated way. User capital is aggregated on Ethereum mainnet or Base via the UDA flow. BETTER then routes that capital into USDC.e on Polygon, where Polymarket's CLOB currently operates. This cross-chain liquidity abstraction — Enclave.money-powered on the deposit side, cross-chain routing on the settlement side — is the practical implementation of the access layer described throughout this whitepaper.

As Polymarket and prediction markets more broadly expand across chains, BETTER's routing layer is designed to follow liquidity wherever it concentrates.

Part XIII — Roadmap

Shipped

In Progress

First BETTER vault — targeted for Q1 2026 with one initial vault, fixed-term and high-risk structure, deposit windows, batched withdrawals and Polymarket-first execution.

Vault infrastructure and safeguards — staking-enabled vault access, fixed drawdown tolerance and fractional Kelly sizing in the strategy layer and independent vault audit work before or around launch.

Planned Next

Access Ratchet Milestones

Once a new FDV all-time high is reached, the lower threshold becomes permanently fixed. The gate does not move back up later.

Part XIV — Risks and Disclaimers

BETTER does not remove market risk. Users of the Terminal and future vault products should understand the following risks before funding or trading.

Execution risks

• Copy trades do not guarantee equal fills, equal timing, or equal performance relative to the original signal
• Signal quality is historical; past performance of a scored wallet does not guarantee future performance
• Liquidity in prediction markets can change rapidly, causing fills at worse prices than expected

Settlement risks

• Market disputes and oracle disputes can delay or affect the settlement of prediction-market contracts
• Polygon network queues can slow final market resolution; in some conditions this can take 30 minutes to 2 hours
• Rare edge cases including court rulings, venue disputes, or technical oracle failures can cause unexpected resolution outcomes

Infrastructure risks

• UDA routing and Enclave.money infrastructure can fail or degrade
• Cross-chain bridging and routing introduces dependencies that can produce delays or errors
• Co-located execution infrastructure is subject to the same hardware and network failure risks as any production system

Vault risks (future)

• Smart contract risk from vault contract code; audit work is planned but does not guarantee zero vulnerabilities
• Strategy risk: automated execution can lose capital, not just generate it
• Withdrawal window risk: the batched withdrawal structure means funds are not accessible at all times
• A paused strategy means delayed access to capital under the vault's withdrawal rules
• Staking lock risk: staked $BETTER is expected to remain locked for the duration of a vault position

Token risks

• Access thresholds, product availability, fee structures and timelines can change with market conditions or product development
• Buybacks and burns are discretionary and not guaranteed
• The $BETTER token price can fall, potentially below the threshold required for continued access

Regulatory risks

• The regulatory status of prediction markets, token-gated access products and automated vault strategies varies by jurisdiction and may change
• Future KYC, geo-blocking, or compliance requirements may restrict access for certain users

Nothing in this whitepaper constitutes investment, legal, or tax advice. BETTER is a technology product. Users are responsible for their own due diligence, legal compliance and risk management.

Appendix: Key Research Data and Citations

Selected Sources

1. "Up to 89% of Polymarket Users Carry Losses, Shows On-chain Data" — Cryptopolitan / Binance Square
2. "Polymarket's Huge Year: $9 Billion in Volume" — The Block
3. "Is a New Whale on Polymarket Skewing Odds?" — Blockworks
4. "People Quietly Making a Fortune Through Arbitrage on Polymarket" — Bitget News
5. "How to Achieve a Super High Win Rate on Polymarket Through Insider Trading?" — Bitget
6. "Polymarket Accuracy Rates Analyzed" — Phemex
7. "Eighteen Individuals and Entities Charged in International Operation Targeting Widespread Fraud and Manipulation in the Cryptocurrency Markets" — U.S. Department of Justice, District of Massachusetts
8. "SEC Charges Three So-Called Market Makers and Nine Individuals in Crackdown on Manipulation" — SEC Press Release
9. "Alpha Decay: What Does It Look Like?" — Maven Securities
10. "SoK: Market Microstructure for Decentralized Prediction Markets" — arXiv
11. "Why We Are Investing in Limitless" — Collider VC
12. "Tracking Insider Activity on Polymarket Boosts Prediction Accuracy" — Phemex
13. "WSS Overview" — Polymarket Developer Documentation
14. "What is Maximal Extractable Value (MEV)?" — CoinTracker