# Trading Strategy Related Articles

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Only 43% Return on $1, Why Are 87% of Polymarket Players Losing Money?

In prediction markets like Polymarket, data from 72 million trades reveals that 87% of traders lose money, with an average return of just $0.43 per dollar risked on low-probability contracts. This underperformance stems from behavioral biases, such as the "longshot bias," where traders systematically overvalue cheap contracts (e.g., 1¢ priced outcomes actually win only 0.43% of the time). Winning traders (the top 13%) use five key game theory principles: 1. **Expected Value (EV):** Calculating long-term average returns based on subjective vs. market-implied probabilities. 2. **Mispricing:** Identifying deviations between contract prices and actual outcome frequencies, avoiding overpriced low-probability bets. 3. **Kelly Criterion:** Optimizing bet sizing to maximize growth while managing risk, often using fractional Kelly to reduce volatility. 4. **Bayesian Updating:** Adjusting probability estimates rationally as new information emerges, rather than overreacting or ignoring data. 5. **Nash Equilibrium:** Recognizing market structure shifts (e.g., maker vs. taker dynamics) and adapting strategies—especially in emotional markets (e.g., sports/entertainment) where mispricing is common. As professional market makers enter, inefficiencies shrink, emphasizing the need for disciplined, math-driven trading over emotional speculation.

marsbit03/30 08:11

Only 43% Return on $1, Why Are 87% of Polymarket Players Losing Money?

marsbit03/30 08:11

1 Dollar Return Rate Only 43%, Why Are 87% of Polymarket Users Losing Money?

In the prediction market Polymarket, analysis of 72.1 million trades reveals that 87% of wallets lose money, while only 13% consistently profit. The key difference lies in the application of game theory and mathematical strategies, not luck. Five core formulas separate winners from losers: 1. **Expected Value (EV)**: Winners calculate EV to identify undervalued contracts, while most traders rely on intuition. Makers (limit order placers) profit by waiting for positive EV opportunities, while takers (market buyers) lose ~1.12% per trade on average. 2. **Mispricing**: Low-probability contracts (e.g., priced at 1¢) are systematically overpriced, with actual win rates as low as 0.43% (a -57% deviation). High-probability contracts are often undervalued. Takers overpay for "cheap" lottery-like bets, while makers capture this inefficiency. 3. **Kelly Criterion**: Used for optimal position sizing. It maximizes long-term growth but is often applied fractionally (e.g., 1/2 or 1/4 Kelly) to reduce volatility. 4. **Bayesian Updating**: Profitable traders adjust probabilities rationally as new information emerges, unlike emotional overreactions or inertia from others. 5. **Nash Equilibrium**: The market structure evolves with participant behavior. In emotional markets (e.g., sports, entertainment), mispricing creates opportunities for contrarian strategies. As professional market makers enter, spreads tighten, and inefficiencies shrink. The conclusion: Persistent losses stem from emotional trading, overpaying for low-probability bets, and neglecting mathematical discipline. The winning minority uses these formulas to exploit market biases systematically.

Odaily星球日报03/30 08:03

1 Dollar Return Rate Only 43%, Why Are 87% of Polymarket Users Losing Money?

Odaily星球日报03/30 08:03

"Marking the Boat to Find the Sword"-Style Price Predictions Go Viral: The Practical Logic and Flaws of Mystical Prophecies

"Carving the Boat to Find the Sword"-style cryptocurrency price predictions, which rely on historical pattern analogies, have gained popularity during uncertain market phases. Analysts like CryptoBullet and KillaXBT use methods such as "tick-tock fractals" and historical rhythm analysis to predict market tops, bottoms, and trends, often claiming accuracy rates of 75–80%. While these predictions sometimes align with actual movements—such as correctly identifying a downturn in January 2026—they often miss precise price levels or timing. The appeal lies in three factors: market cycles often rhyme due to recurring liquidity and sentiment patterns; common technical indicators show similar predictive power but lack visual simplicity; and survivorship bias amplifies the perception of accuracy, as failed predictions are often ignored or deleted. However, these methods are flawed in practice. They offer directional guidance rather than executable trading strategies, lacking precise entry/exit points, stop-loss levels, or clear failure conditions. For instance, predicting a October 2025 top without specific price targets or risk management rules provides little actionable insight. Ultimately, while historical analogies can help identify market phases, they should not be mistaken for reliable trading signals. History rhymes—but never repeats exactly.

marsbit03/13 07:36

"Marking the Boat to Find the Sword"-Style Price Predictions Go Viral: The Practical Logic and Flaws of Mystical Prophecies

marsbit03/13 07:36

Dissecting 112,000 Polymarket Addresses: The Top 1% Who Truly Profit Are All Doing These Five Things

By analyzing 112,000 Polymarket wallets over six months, this study reveals that 87.3% of users lose money. After filtering for statistically significant accounts (8,400 wallets with ≥100 settled positions, >4 months activity, >$10k volume, and participation in ≥2 markets), key patterns among the top 1% of profitable traders emerge: 1. They trade against extreme sentiment, entering when market odds deviate 6-11% from their calculated probabilities, exploiting the "favorite-longshot bias." 2. They use position sizing aligned with a conservative quarter-Kelly Criterion, betting larger only with clear edges. 3. They specialize in 1-2 market categories (e.g., only crypto or weather), avoiding diversification across unrelated fields. 4. They trade price movements, not outcomes, often exiting before settlement after capturing mispricings, with average holding periods of 18-72 hours. 5. They avoid trading during breaking news, waiting for emotional reactions to subside before entering. Common misconceptions include overestimating win rates (top traders average 55-67%, not 80-90%), believing diversification improves results, and overvaluing speed. The top performers focus on process: specializing, recording predictions, sizing positions cautiously, trading only with high edges, and systematically reviewing their trades.

Odaily星球日报03/09 04:05

Dissecting 112,000 Polymarket Addresses: The Top 1% Who Truly Profit Are All Doing These Five Things

Odaily星球日报03/09 04:05

Unlocking the 'Golden Key' in Prediction Markets Through 27.73 Million Transaction Data: 690 K-Line Strategies Struggle to Profit

The article investigates whether a profitable "golden key" strategy exists in prediction markets, using an analysis of 27.73 million transactions over 3,082 fifteen-minute BTC prediction markets. The study debunks several common approaches: Technical analysis based solely on price action, tested across 690 combinations of entry/exit points, stop-loss, and take-profit levels, yielded no positive expected value. Even high-win-rate strategies, like buying at 90% and selling at 99%, resulted in negative expectations due to poor risk-reward ratios. Similarly, arbitrage strategies aiming to profit from YES+NO prices below 1 were also unprofitable after accounting for real-world constraints. The research identifies two potentially viable strategies: 1. **Momentum-based trading**: A brief ~30-second window exists after sharp BTC price moves (>$150-$200) where prediction market token prices lag, allowing manual traders to capitalize on this inefficiency before algorithms adjust. 2. **Fair value model**: A model calculating a token's theoretical win probability based on BTC's volatility and time to expiry revealed that markets are inefficient. Profitable opportunities arise only when tokens trade at a significant discount (>10 cents) to their fair value. Buying at a premium, even with high win probability, leads to negative expected returns. The conclusion advises traders to abandon pure price-based technical analysis, focus on the underlying asset (BTC), respect probability valuations, and only buy at a discount to fair value to avoid being systematically outperformed by algorithms.

marsbit02/20 04:02

Unlocking the 'Golden Key' in Prediction Markets Through 27.73 Million Transaction Data: 690 K-Line Strategies Struggle to Profit

marsbit02/20 04:02

The Real Cost of Being One Minute in Prediction Markets — A Study on the Golden Entry Windows for Different Events

In prediction markets, the cost of hesitation is measured in minutes. This analysis of 2,023 on-chain trades on Polymarket reveals that the "confirmation tax"—the price paid for waiting to verify news—can be devastatingly high. The core metric is "Remaining Alpha" (1 - current price). For events that resolve to "YES" ($1), buying at $0.20 offers $0.80 in potential profit, while buying at $0.90 leaves only $0.10. The research identifies three distinct event types with their own profit decay curves: 1. **Sudden & Certain Events** (e.g., "Maduro arrested"): The golden window is the first 60 seconds, with an average entry price of $0.56 (44% Alpha). Alpha's half-life is less than 2 minutes, evaporating entirely after ~10 minutes. Strategy: Prioritize position over 100% certainty. 2. **Negotiation & Correction Events** (e.g., "SVB acquisition"): The decay is step-like. A 6-hour observation window existed with prices stable at ~$0.65, followed by a sharp price correction. Strategy: Look for confirmation signals (e.g., large smart money buys) rather than racing to be first. 3. **Priced-In Events** (e.g., "TikTok ban"): The event is highly anticipated. By the official deadline (T0), the price is already efficient (~$0.84), offering near-zero Alpha. Strategy: Avoid entering at T0; it's the finish line, not the start. The key takeaway: Time is an exponential function of money in prediction markets. A one-minute delay can mean forfeiting the vast majority of profitable alpha, turning a trader from a hunter into prey providing liquidity for others.

marsbit02/14 05:30

The Real Cost of Being One Minute in Prediction Markets — A Study on the Golden Entry Windows for Different Events

marsbit02/14 05:30

Meme Cultivation Manual: Reborn as a Diamond Hand (Part 4) | Produced by Nan Zhi

"Meme Cultivation Guide: Reborn as a Diamond Hand (Part 4)" by Nan Zhi updates the progress of a meme coin copy-trading experiment on Solana. After implementing a depth evaluation system, Copy 1 and 2 accounts showed improved stability, providing steady returns, while Copy 6 saw a nearly 5x gain in a week (though this was partly due to an unexpected profit event from a split account strategy). As of November 4, the author details various copy-trading strategies: Accounts 1 and 2 follow low-frequency, high-profit-ratio "diamond hand" addresses; Account 5 follows an extremely low-frequency, high-risk address; and test accounts 1-6 track promising but unstable addresses with very small amounts to avoid significant losses. The depth evaluation system was upgraded with two new modules: a "copy-trading effect test" (calculating profit per initial trade round) and an "internal market performance evaluation" (assessing performance on Pump.fun to identify potential scam risks or poor internal trading skill). The author cautions that the system is still in early stages (28 days of operation) and lacks sufficient data for rigorous conclusions. Future plans include further system refinements to improve the copy-trading strategy.

marsbit01/04 09:17

Meme Cultivation Manual: Reborn as a Diamond Hand (Part 4) | Produced by Nan Zhi

marsbit01/04 09:17

Turning $50 into a Million at 18 by Tracking Wallets

In February 2024, the author lost $80 twice trading meme coins before realizing their flawed approach. They restarted with $50 using wallet tracking strategies and grew it to over $1 million by February 2025. Initially, the author bought meme coins based on narratives and social hype, which was unreliable. They shifted to tracking "smart money" movements—wallets of insiders, KOLs, market makers, and project teams—to identify opportunities before pumps. Key methods included: - Tracking influential KOLs' wallets, turning $50 into $5,000 in a month. - Monitoring groups of coordinated traders (e.g., turning $4,000 into $600,000 on $ROCKY). - Following new wallets, project wallets, and large holders (e.g., earning $110,000 in minutes on $BARRON). - Observing market maker wallets for entry and exit signals (e.g., 50x gains on $HOOD). The author emphasizes strict risk management: no more than 5% per trade, avoiding large positions to prevent detection, and adhering to a disciplined plan. They credit their success to data-driven decisions, not emotions or hype. This journey highlights the importance of adapting strategies, learning from losses, and respecting the market. The author shares this as a personal milestone and inspiration for others.

marsbit12/30 10:47

Turning $50 into a Million at 18 by Tracking Wallets

marsbit12/30 10:47

December 10: BTC, ETH, SOL, MERL, ZEC Market Analysis

On December 10, Bitcoin (BTC) experienced a sharp rally during U.S. trading hours, reaching a high of $94,640 before pulling back to around $92,000. Continued Coinbase premium suggests strong institutional accumulation. Analysts note that retail sentiment remains weak and may only recover if BTC reclaims $100,000. Technically, BTC has broken out of a descending trendline on the daily chart with increasing volume. A retest of support levels around $92,000 or $90,540 could offer long opportunities, with a break below $90,540 invalidating the bullish structure. Key resistance lies near $98,000. Ethereum (ETH) shows stronger momentum with four consecutive bullish daily closes, breaking above $3,260. However, the 4-hour chart suggests a pullback may be due. Resistance is seen at $3,380 and $3,480, while supports are at $3,230, $3,150, and $3,060. Solana (SOL) has been relatively weak, struggling to break $147. A decisive move above $147.50 could open the path toward $154–$158, provided it holds above $138.85. Both long and short opportunities are possible around key levels. MERL remains in a clear downtrend, with repeated rejections near $0.50. The critical level to watch is $0.20, which aligns with project cost bases and retail psychological support. A break below could trigger further declines. ZEC is showing signs of a potential short-term correction with a 1-hour rising wedge and M-top pattern. Long positions are advised to take profit around $440 levels due to emerging bearish divergence. Overall, institutional optimism is growing, but retail participation remains low. A sustained bullish move across major cryptocurrencies may require stronger price momentum and broader market confidence.

金色财经12/10 09:54

December 10: BTC, ETH, SOL, MERL, ZEC Market Analysis

金色财经12/10 09:54

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