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.

Two Survival Structures of Market Makers and Arbitrageurs

Market makers and arbitrageurs represent two distinct survival structures in high-frequency trading. Market makers primarily use limit orders (makers) to profit from the bid-ask spread, enjoying high capital efficiency (nominally 100%) but bearing inventory risk. This "inventory risk" arises from passive, fragmented, and discontinuous order fills in the limit order book (LOB). This risk, while a potential cost, can also contribute to excess profit if managed within control boundaries, allowing for mean reversion. Market makers essentially sell "time" (uncertainty over execution timing) to the market for price control and low fees. In contrast, cross-exchange arbitrageurs typically use market orders (takers) to exploit price differences or funding rates, resulting in lower nominal capital efficiency (requiring capital on both exchanges) and higher transaction costs. Their risk exposure stems from asymmetries in exchange rules (e.g., minimum order sizes), execution latency, and infrastructure risks (e.g., ADL, oracle drift). These exposures are active, exogenous gaps that primarily erode profits rather than contribute to them. Arbitrageurs essentially sell "space" (capital sunk across venues) for localized, immediate certainty. Both strategies engage in a trade-off between execution friction and residual risk. Optimal systems allow for temporary, controlled risk exposure rather than enforcing zero exposure at all costs. Their evolution converges towards hybrid models: arbitrageurs may use maker orders to reduce costs, while market makers may use taker orders or hedges for risk management. Ultimately, both use different forms of risk exposure—market makers exposing inventory, arbitrageurs immobilizing capital—to extract marginal, hard-won certainty from the market.

链捕手Ayer 07:09

Two Survival Structures of Market Makers and Arbitrageurs

链捕手Ayer 07:09

When the Bubble Comes, How to Short "Smartly"?

Title: When the Bubble Comes, How to "Smartly" Short? Author: Campbell (Macro Analyst) Summary: Amid the heated debate over whether the current AI-driven market is in a bubble, analysts are divided. While some, like Dan Niles and Paul Tudor Jones, argue that the AI boom has further to run, Michael Burry warns of similarities to the dot-com bubble. The author explores practical strategies for navigating and potentially shorting a bubble without being crushed by its momentum. Key challenges in shorting a bubble include the exponential risk from parabolic price increases and the high cost of options due to extreme volatility. Instead of directly shorting the bubbly asset, the author proposes three approaches: 1. **Find the "Wedge"**: Identify external factors that could pop the bubble, such as rising interest rates. By betting on trends that could undermine the bubble (e.g., inflation or higher rates), investors can hedge without timing the bubble's collapse. 2. **Short the "Victims"**: Target assets adjacent to the bubble that are highly vulnerable to its burst, such as over-leveraged companies or sectors with "negative convexity." These assets may have cheaper options and suffer disproportionately when the bubble stalls. 3. **Wait for Confirmation**: Exercise discipline and wait for clear signals of a breakdown, including deteriorating fundamentals, exhausted buying sentiment, and decisive breaks in trendlines. Only then should investors take substantial short positions. The author shares their recent actions, including shorting SPX and high-yield bonds while buying short-term put spreads, and emphasizes avoiding direct shorts on vertically rising assets. The core takeaway: Hedge, identify wedges, wait for confirmation, and only then commit heavily.

marsbit05/14 08:57

When the Bubble Comes, How to Short "Smartly"?

marsbit05/14 08:57

MSTR Earnings Review: The 'Flywheel' Now Has a 'Safety Valve', Arbitrage Opportunity Emerges

MicroStrategy's recent earnings call has fundamentally changed its strategy. Management has explicitly stated a key metric: a 1.22x premium to its mNAV (adjusted net asset value). This acts as a trigger for the company's actions regarding its Bitcoin holdings. If MicroStrategy's stock trades at a premium **above** 1.22x mNAV, the company will continue its established playbook: issuing equity to raise capital and buying more Bitcoin. However, if the premium falls **below** 1.22x, the strategy reverses. Management committed to selling Bitcoin to generate cash, which would then be used for debt management, dividends, or stock buybacks. This clear threshold creates a potential arbitrage opportunity. Should the premium dip below 1.22x, a trade involving going long MSTR stock while shorting an equivalent value of Bitcoin could profit. The logic is that the company's promised actions (selling BTC, buying back stock) would directly work to close that valuation gap, providing a catalyst for the trade. For holders of MicroStrategy's high-yield preferred stock (STRC), this policy introduces a significant safety net. The commitment to sell BTC to protect the balance sheet and meet obligations reduces the prior risk of the company facing a liquidity crisis during a deep Bitcoin downturn, making STRC resemble a more traditional corporate bond. Regarding Bitcoin's market impact, the announcement has mixed implications. In the short term, it is sentimentally bearish as it ends the narrative of MicroStrategy as a perpetual "diamond hands" buyer. Long-term, however, it is structurally bullish. By establishing a proactive de-leveraging mechanism, MicroStrategy removes the risk of a future forced, cascading liquidation during a severe bear market, making the overall crypto ecosystem more resilient.

marsbit05/08 13:11

MSTR Earnings Review: The 'Flywheel' Now Has a 'Safety Valve', Arbitrage Opportunity Emerges

marsbit05/08 13:11

Why Do You Always Lose Money on Polymarket? Because You're Betting on News, While the Pros Read the Rules

Why do you always lose money on Polymarket? Because you bet on news, while the pros study the rules. This article explains how top traders ("che tou") profit by meticulously analyzing market rules, not just predicting events. Polymarket, a prediction market platform, often sees disputes over event outcomes due to ambiguous rule wording. For instance, a market asking "Who will be the leader of Venezuela by the end of 2026?" was misinterpreted by many who bet on Delcy Rodríguez, assuming she held power. However, the rules specified "officially holds" as the formally appointed, sworn-in individual. Since Nicolás Maduro was still recognized as president officially, he won the market—even being in prison. To resolve such disputes, Polymarket uses a decentralized arbitration system via UMA protocol. The process involves: 1. Proposal: Anyone can propose a market outcome by staking 750 USDC, earning 5 USDC if unchallenged. 2. Dispute: A 2-hour window allows challenges with a 750 USDC stake; successful challengers earn 250 USDC. 3. Discussion: A 48-hour period on UMA Discord for evidence and debate. 4. Voting: UMA token holders vote in two 24-hour phases (blind then public). Outcomes require >65% consensus and 5M tokens voted; otherwise, four re-votes occur before Polymarket intervention. 5. Settlement: Results are final and automatic. Unlike traditional courts, Polymarket’s system lacks separation between arbitrators and stakeholders—voters often hold market positions, creating conflicts of interest. This leads to herd mentality in discussions and non-transparent outcomes without explanatory rulings, preventing precedent formation. Thus, success on Polymarket hinges on deep rule interpretation, not just event prediction, exploiting gaps between reality and contractual wording.

marsbit04/20 11:58

Why Do You Always Lose Money on Polymarket? Because You're Betting on News, While the Pros Read the Rules

marsbit04/20 11:58

Bitcoin's Bull-Bear Range Battle Continues, HYPE Faces Critical Test of Wave V Support | Exclusive Analysis

This market analysis covers Bitcoin (BTC) and HYPE, highlighting key levels and trading strategies for the week. HYPE is currently testing a critical support level at $40.17. A hold above this level could lead to consolidation between $40.17–$45.76, while a break below it may signal the end of its current V-wave uptrend from the April 2 low. The short-term strategy is to look for long entries near $40.17 if support holds, using 30% leverage and strict stop-loss discipline. Bitcoin is interpreted to be in a larger D-wave rebound from the February 6 low of $60,000, currently trading within a $73,500–$79,000 range. Key resistance lies at $79,000–$80,600 and $83,500–$84,500, with supports at $73,500, $69,500, and $65,000–$66,000. The medium-term strategy maintains a 60% short position from $89,000. Short-term tactics include selling into rallies near $76,500–$79,000 (Scenario A) or breaking below $73,500 (Scenario B), using 30% leverage. Last week, a 1x leveraged long trade in HYPE yielded a 6.80% gain, and the BTC short from $89,000 is currently up approximately 17.08%. Risk management is emphasized: set stop-losses at entry, move to breakeven at +1% profit, and trail stops to lock in gains thereafter. All views are based on technical analysis and are not investment advice. Traders are urged to exercise caution and adapt to market changes.

marsbit04/20 08:21

Bitcoin's Bull-Bear Range Battle Continues, HYPE Faces Critical Test of Wave V Support | Exclusive Analysis

marsbit04/20 08:21

Bitcoin's Bull-Bear Range Battle Continues, HYPE Faces Critical Test of Wave V Support | Invited Analysis

The market is experiencing directional uncertainty with both opportunities and risks. HYPE's daily V-wave structure is at a critical juncture, with the $40.17 support level being pivotal for its future trajectory. A break below this level, followed by an inability to surpass the recent high of $45.76, could signal the end of the current upward structure. The short-term strategy for HYPE is to "follow the trend and buy on dips," using a 30% position size and a 30/60-minute trading cycle, entering long upon confirmed support holds with model signals. Bitcoin's market structure is reinterpreted, with the rally from the $60,000 low now considered a larger D-wave rebound within a medium-term correction, facing a key test between $73,500 and $79,000. A break above the upper bound may lead to limited upside, while a drop below could see a decline toward $69,500. Core resistance lies at $79,000–$80,600 and $83,500–$84,500, with support at $73,500, $69,500, and $65,000–$66,000. The medium-term strategy maintains a 60% short position from $89,000, to be exited if price stabilizes above the multi-empty band. Short-term tactics involve 30% positions for "spread" opportunities, with two scenarios: selling on rallies near $76,500–$79,000 (Scheme A) or shorting on a breakdown below $73,500 (Scheme B), both with strict stop-losses. A复盘 of HYPE's recent short trade showed a 6.80% gain from a long entry at $41.59 (based on model buy signals) and exit at $44.42 (triggered by top signals). Key reminders include setting initial stops at entry, moving to breakeven at +1% profit, and trailing stops thereafter. All views are for reference only; market conditions change rapidly, and caution is advised.

Odaily星球日报04/20 08:14

Bitcoin's Bull-Bear Range Battle Continues, HYPE Faces Critical Test of Wave V Support | Invited Analysis

Odaily星球日报04/20 08:14

活动图片