Jin H. Jung @salbang
Computer Scientist. Quantitative Portfolio Maneger/Advisor. github.com/salbang/QuantT… iphone:37.525607,126.904509 Joined February 2009-
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📈 Quant Focus 📈 Technical Analysis in Statistical Arbitrage II: Stochastic Oscillator by @salbang 📝 Key Takeaways ➡️ Technical analysis tools like the stochastic oscillator can be utilized in statistical arbitrage to identify mispricing in financial instruments, enabling traders to develop effective alphas for capturing mean-reversion opportunities. ➡️ This article explores two reversion alphas based on the stochastic oscillator, demonstrating their effectiveness through backtesting while highlighting the need for refinement in practical trading applications.
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📈 Trading Focus 📈 Technical Analysis in Statistical Arbitrage I: Fibonacci Retracement by @salbang 📝 Key Takeaways ➡️ Fibonacci retracements are a technical analysis tool used to predict potential support and resistance levels in financial markets, aiding traders in timing market entries and exits. ➡️ This article examines their application in generating trading signals for cryptocurrencies, evaluating their effectiveness through simulations across various setups, from individual assets like BTC/USDT to broader portfolios of top liquid assets.
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1b) Long-Form Technical Analysis in Statistical Arbitrage I: Fibonacci Retracement by @salbang Fibonacci retracements are frequently used as a technical analysis tool in trading. Alphas based on a Fibonacci retracement level are tested across different universes in Binance USDⓈ-M perpetual futures market. Simulation results indicate that broader asset universes lead to reduced volatility and enhanced returns. The alpha targeting the top 50 most liquid assets outperforms the others, achieving an annualized return of 77.83% and a Sharpe ratio of 3.2.
If you want to know more details of portfolio optimization for additional objective terms and constrains, you may check my github at github.com/salbang/QuantT…
Ways to construct a portfolio of alphas. prestolabs.io/research/optim…
📈Trading Focus 📈 Crypto Derivatives Series II: Options by @scopicview w/@laevitas1 In Part II of this Crypto Derivatives Series with Laevitas, we explore the world of options, featuring valuable insights from industry leaders about their experience and perspectives on the crypto options market. 🎙@LStrijers from @DeribitExchange 🎙@fiddybps1 from @tradeparadigm @paradex 🎙@joshua_j_lim from @Arbelosxyz 🎙Jun-Young Heo from @presto_labs
🔎Trading Focus: Can Funding Rate Predict Price Change? by @salbang 📝 Key Takeaways ➡️ The funding rate aims to correct imbalances between futures and spot prices, reflecting market sentiment and potentially indicating future price movements. ➡️ This article examines the predictive power of funding rates in perpetual futures contracts, analyzing historical data for patterns and correlations.
Funding rate can be a useful source for statistical arbitrage signal research.
(1b) Long-form Can Funding Rate Predict Price Change? @salbang This week’s Trading Focus explores the predictive power of the funding rate in the context of perpetual futures contracts. We will analyze historical data to identify patterns and correlations, and consider the
Ways to construct a portfolio of alphas. prestolabs.io/research/optim…
Ever wonder how well the common arbitrage strategies perform in real market? 👉 This month’s edition of Trading Focus discusses a set of arbitrage strategies on coin-margined markets. We also discuss optimizing risk for more stable return. Read the full article: prestolabs.io/research/evalu…
Following the previous article, arbitrage strategies are evaluated on USDⓈ-M Market. prestolabs.io/research/evalu…
We’re excited to share that Presto Research (@presto_labs) is now available within The Tie Terminal research portal. Clients of The Tie Terminal can now access Presto Research’s institutional-grade insights and data-driven quantitative research.
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