Trading Strategies

Shares practical strategies, techniques, and risk management methods. By combining market case studies with technical analysis, it helps traders optimize decision-making and enhance profitability.

10 Questions to Test Yourself: Are You a Trader or a Gambler?

Are You a Crypto Trader or a Gambler? Take This 10-Question Self-Assessment This article presents a 10-question checklist to help individuals determine if their cryptocurrency trading behavior is healthy or has crossed into problematic gambling. The questions are designed to be answered with a simple "yes" or "no." According to the author, answering "yes" to four or more questions indicates that a person is likely a gambler, not a disciplined trader. The questions probe various aspects of compulsive behavior, including: - Spending more time or money on trading than intended, or needing to increase stakes for excitement. - Failed attempts to stop or reduce trading, leading to restlessness or irritability. - An obsessive preoccupation with the crypto market that interferes with work, sleep, or family time. - Using trading as an escape from negative emotions like stress or depression. - "Chasing" losses by making more trades to recover money quickly. - Hiding the extent of trading activities or losses from loved ones. - Allowing trading to cause financial problems, such as debt or an inability to pay bills. - Neglecting hobbies, social activities, and self-care to focus on trading. - Taking excessive risks without research or using essential funds meant for necessities. - Continuing to trade despite recognizing the negative impact on mental or physical health. The assessment serves as a stark warning to evaluate one's relationship with cryptocurrency markets.

marsbit01/26 08:15

10 Questions to Test Yourself: Are You a Trader or a Gambler?

marsbit01/26 08:15

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

This analysis by Odaily's market analyst Cody examines Bitcoin's recent price action and potential future trajectories. The key technical focus is the breach of Bitcoin's critical upward channel support line, 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 similarities but cautioning that history does not simply repeat itself. The current correction from the October 2025 high is analyzed as a potential three-wave structure (A-B-C). The recently concluded B-wave rally has potentially ended, and the market is now in a C-wave correction. Key support levels to watch are identified at $86,000-$86,500, $84,000, and crucially, the $80,000-$80,600 zone (the November low). A decisive break below the channel support, accompanied by a bearish crossover on the daily momentum indicator, could signal a resumption of the downtrend towards these targets. Conversely, holding above the channel could lead to a retest of resistance near $94,500. The analyst details a successful short trade from the previous week, yielding a 3.76% return, executed based on a confluence of signals from proprietary quantitative models. The weekly and daily charts are currently assessed as bearish. The recommended strategy for the coming week involves preparing for a potential breakdown below the channel with short positions (60% for mid-term, 30% for short-term trades), employing strict risk management with trailing stop-losses.

Odaily星球日报01/26 05:47

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

Odaily星球日报01/26 05:47

Wall Street 'Withdraws' from Bitcoin Basis Arbitrage: CME Falls Out of Favor, the Golden Age of Arbitrage Comes to an End

Wall Street is retreating from the once-lucrative Bitcoin basis trade, as narrowing spreads between spot and futures prices have made the strategy barely profitable. The cash-and-carry trade, which involved buying Bitcoin spot (often via ETFs) and selling futures to capture the premium, has seen annualized returns drop to around 5%, down from nearly 17% a year ago, barely covering funding and execution costs. This compression has led to a significant shift in market structure: CME's Bitcoin futures open interest has fallen below Binance's for the first time since 2023, indicating a withdrawal of hedge funds and large US accounts from this specific arbitrage strategy. While CME was the preferred venue for this institutional trade, Binance's dominance in perpetual futures has remained steady. The approval of spot Bitcoin ETFs initially fueled the trade's popularity but also accelerated its decline by attracting capital that quickly eroded the arbitrage opportunity. The market is now maturing, with participants shifting from simple leveraged directional bets to using options, hedges, and expressing views through diverse instruments like ETFs. This increased efficiency has naturally narrowed price disparities between venues. As the era of easy, high returns from basis trading ends, participants are expected to seek more complex strategies in decentralized markets and other crypto assets.

marsbit01/22 11:34

Wall Street 'Withdraws' from Bitcoin Basis Arbitrage: CME Falls Out of Favor, the Golden Age of Arbitrage Comes to an End

marsbit01/22 11:34

1-Minute Breakdown of Quantitative Models: High Rollers Hunt Down Trading Bots

In the emerging prediction markets, a mysterious trader known as a4385 executed a sophisticated attack against quantitative trading bots, netting $280,000 in 48 hours. These markets allow users to bet on short-term price movements of assets like XRP—for example, predicting whether the price will rise or fall within 15 minutes. Quant algorithms typically profit by exploiting散户情绪 and market inefficiencies with毫秒级 precision. On January 17, 2026, a4385 placed a "rise" bet in an XRP market when the price was below the starting price and the probability of success was only 36%. In the final minute before settlement, a4385 executed large market buy orders, artificially pumping XRP’s price just above the starting threshold at the exact moment of settlement—ensuring his bet paid out. The strategy relied on shallow order book depth (due to weekend trading and XRP’s lower liquidity), allowing a4385 to move the market with relatively modest volume (~$569,000 in the final minute. Each operation cost about $6,200 in fees, but yielded returns as high as $40,218 per round. To hedge against post-settlement price drops, a4385 held short positions of equivalent size, ensuring overall portfolio stability. This required significant capital—over a million dollars—highlighting that this was not luck or a散户 victory, but a calculated exploit of market structure, liquidity conditions, and quantitative model behavior.

marsbit01/21 04:45

1-Minute Breakdown of Quantitative Models: High Rollers Hunt Down Trading Bots

marsbit01/21 04:45

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