# Сопутствующие статьи по теме Quantitative

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Quantitative", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Gate Launches TradFi API and Multi-Leverage Mechanism to Build an Integrated Smart Trading Infrastructure

Gate has officially launched its TradFi trading API and upgraded its TradFi product leverage mechanism, enhancing its multi-asset trading ecosystem. The newly introduced API supports automated trading across metals, forex, indices, commodities, and other major global asset classes. It enables users to deploy strategies, manage orders, and monitor assets programmatically, providing an efficient execution environment for quantitative teams, institutional traders, and professional investors. The API offers functionalities such as programmatic order submission and management, real-time market data, order book depth, and access to account and position information, improving operational and risk management efficiency. Additionally, Gate introduced an adjustable multi-tier leverage system, offering up to 500x leverage with multiple options to support diverse trading strategies and improve capital flexibility. The platform maintains a unified account structure, allowing users to trade both digital and traditional financial assets under a single account using USDT as the unified margin asset. This integration enhances cross-market capital efficiency and risk management. The combination of API-driven trading and multi-leverage mechanisms strengthens Gate’s position as a comprehensive trading platform, catering to growing demand for cross-asset strategies amid global market volatility. Gate, founded in 2013 by Dr. Han, is a leading global cryptocurrency exchange serving over 50 million users with more than 4,400 supported crypto assets.

marsbit03/03 10:00

Gate Launches TradFi API and Multi-Leverage Mechanism to Build an Integrated Smart Trading Infrastructure

marsbit03/03 10:00

High-Frequency Trading, $100K Annual Income: The Most 'Boring' Profit Myth on Polymarket

A user known as planktonXD (0x4ffe49ba2a4cae123536a8af4fda48faeb609f71) has generated over $106,000 in profit on Polymarket within a year by executing more than 61,000 predictions—averaging around 170 trades per day. This high-frequency, automated strategy focuses on exploiting small, certain opportunities rather than betting on high-risk, high-reward outcomes. The approach is characterized by market-making and micro-arbitrage: placing orders on both sides of the order book to capture spreads or profiting from mispriced options in low-liquidity markets. The largest single win was only $2,527, illustrating a disciplined, risk-managed method that avoids large drawdowns. The bot operates across diverse categories—sports, weather, crypto prices, politics—constantly scanning for pricing inefficiencies. Notable examples include buying heavily undervalued options in niche markets, such as esports matches or extreme crypto price movements, where probability is mispriced due to emotional trading or thin order books. For instance, a $16 bet on SOL falling to $130 (priced at 0.7¢, implying <1% chance) returned $1,574 during a volatile period. Key takeaways: The strategy highlights the power of compounding small gains, the necessity of automation and API tools, and the superiority of high-probability opportunities over high-risk bets. In prediction markets, the most advanced approach isn’t forecasting—it’s managing probability and liquidity.

marsbit02/11 13:06

High-Frequency Trading, $100K Annual Income: The Most 'Boring' Profit Myth on Polymarket

marsbit02/11 13:06

Wall Street's Top Quantitative Firm Jump Trading Enters the Prediction Market, Is the Era of Retail Investors Over?

Wall Street quantitative trading giant Jump Trading is entering the prediction market sector through strategic partnerships with leading platforms Kalshi and Polymarket. In exchange for providing liquidity, Jump will receive equity stakes in both companies—a fixed share in Kalshi and a performance-based stake in Polymarket tied to its U.S. trading volume. Prediction markets have faced persistent liquidity challenges, with platforms often experiencing shallow order books and wide bid-ask spreads outside of major events. While Kalshi previously engaged SIG as a market maker and Polymarket relied on decentralized incentives and algorithmic traders, both platforms have struggled to maintain stable, deep liquidity consistently. The equity-for-liquidity model aligns incentives: platforms gain access to Jump’s sophisticated, low-latency market-making capabilities, while Jump positions itself to benefit from the sector’s growth—Kalshi and Polymarket are valued at approximately $11B and $9B, respectively. Market making in prediction markets offers potential profits from spreads, incentives, and arbitrage, but it also carries significant risks, including event-driven volatility, limited hedging options, and regulatory uncertainty. While Jump’s advanced infrastructure and cross-asset experience may allow it to capture alpha and leverage equity upside, smaller players face high barriers to entry. The move signals a maturation of the prediction market space, with institutional participation likely to improve liquidity but also centralize influence among top-tier firms.

marsbit02/10 14:39

Wall Street's Top Quantitative Firm Jump Trading Enters the Prediction Market, Is the Era of Retail Investors Over?

marsbit02/10 14:39

Bitcoin's Key Channel Broken? History Won't Simply Repeat Itself | Invited Analysis

This analysis by Odaily's guest market analyst Cody examines Bitcoin's recent price action and potential future trajectories. The key technical focus is the breach of Bitcoin's critical rising channel support, which had been acting as a "lifeline" for the market since the November 21, 2025, low of $80,600. The report compares the current market structure to the 2021 cycle, noting a similar three-wave corrective pattern (A-B-C) but cautioning that history does not simply repeat itself. The recent break below the $94,500-$95,000 support zone confirmed a return to a wider consolidation range between $84,000 and $94,500. Key scenarios are outlined: * If the price fails to reclaim the rising channel's support, a bearish C-wave could drive the price down towards key support levels at $84,000, $80,600 (the B-wave starting point), and potentially $75,200. * A recovery above the channel support could lead to a retest of the $94,500 resistance and the 21-week moving average, though this would require supportive macro conditions. The analyst details a successful short-term trade from the previous week, which yielded a 3.76% return using a quant model-based strategy. Current market structure is assessed as bearish on weekly and daily timeframes, with the daily momentum indicator dipping below zero. The upcoming week's strategy involves monitoring the confirmed break of the channel support. Operational plans include potential short positions (with a 60% allocation for mid-term and 30% for short-term trades) targeting the $84,000 support, with strict stop-loss and profit-taking rules based on quant model signals.

marsbit01/26 06:05

Bitcoin's Key Channel Broken? History Won't Simply Repeat Itself | Invited Analysis

marsbit01/26 06:05

Bitcoin's Short-Term Bear-to-Bull Transition: Will History Repeat Itself? | Invited Analysis

Summary of Bitcoin Market Analysis by Conaldo (Odaily Guest Analyst): This weekly trading report provides a technical analysis of Bitcoin's recent price action and outlines short-term trading strategies. The analyst, leveraging proprietary quantitative models (Momentum Quant, Sentiment Quant, and Spread Trading models), reviews the past week and forecasts the upcoming period. **Key Points & Performance:** * **Strategy Execution:** A single short-term, leveraged (1x) trade was executed last week, resulting in a -1.07% return. The trade was closed according to strict risk management rules after the market moved against the initial short signal. * **Price Validation:** The previous week's core prediction was validated as BTC's price successfully broke through the key resistance zone of $94,500-$95,000, reaching a high near $97,963. * **Current Market Structure:** The weekly chart analysis indicates the overall trend remains bearish, requiring caution. The daily chart shows a recent rebound with initial signs of bullish momentum, though its sustainability is not yet confirmed. **Technical Outlook & Key Levels (Jan 19-25):** * **Critical Zone:** The $94,500-$95,000 area is identified as the crucial level to watch for determining short-term direction. * **Resistance Levels:** Key resistance areas are $94,500-$95,000, $97,500-$99,500, and a major level near $102,000 (the 21-week moving average). * **Support Levels:** Key support areas are $89,500-$91,000, $86,000-$86,500, and a major level near $84,000. **Trading Strategy:** Two scenarios are proposed for the coming week using 30% capital: * **Scenario A (Bullish Break):** If BTC stabilizes above $94,500-$95,000, consider a long position with a stop-loss 1.5% below entry. * **Scenario B (Bearish Rejection):** If BTC is rejected at or falls below $94,500-$95,000, consider a short position with a stop-loss 1.5% above entry, targeting ~$86,500. **Historical Context & Broader Trend:** A comparison to a past market cycle (2021) suggests the 21-week moving average will be a critical multi-week bull/bear divider. A failure to break and hold above it could lead to further downside, potentially below $80,000. A true trend reversal to bullish would require the weekly MACD to show a clear bullish crossover. **Risk Management Emphasis:** The report strongly emphasizes disciplined risk management: setting stop-losses immediately upon entry and trailing them to protect capital and lock in gains as the trade moves favorably. *Disclaimer: This analysis is for informational purposes only and not investment advice. Markets are volatile; always conduct your own research (DYOR).*

Odaily星球日报01/19 05:21

Bitcoin's Short-Term Bear-to-Bull Transition: Will History Repeat Itself? | Invited Analysis

Odaily星球日报01/19 05:21

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