This document discusses the centralization of markets through the Securities Information Processor (SIP) and National Best Bid and Offer (NBBO), which consolidate market data like bid/ask quotes and trades from various trading venues. It also describes high-frequency and algorithmic trading strategies, like latency arbitrage and index arbitrage, and how they provide liquidity but can also harm other investors. Dark pools are mentioned as markets that hide liquidity. The document analyzes market data from an event on August 24, 2015 and questions whether high-frequency traders exacerbated volatility.
Beware of Low Frequency Data by Ernie Chan, Managing Member, QTS Capital Mana...Quantopian
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The document discusses the importance of data integrity in backtesting trading strategies, highlighting that poor data can lead to inflated backtest performance. It provides examples of trading strategies, including mean reversion and intraday momentum, underscoring the difference in performance outcomes when using various price data sources. The conclusion stresses that the type of historical data required depends on both execution price determination and trading signal triggering.
Este documento presenta una estrategia de trading de divisas de bajo riesgo y alto retorno conocida como "La Estrategia 10". La estrategia sugiere apuntar a ganancias de 10 pips por trade para minimizar las pérdidas y maximizar las ganancias a largo plazo acumulando peque?as ganancias diarias. Explica cómo mover el stop loss al punto de equilibrio para reducir el riesgo y potencialmente ganar más de 10 pips en algunos trades.
This document provides 16 tips for consistently making profitable stock trades in any market. It advises traders to understand how different industries and sectors react, wait for a clear setup in a stock before chasing it, allocate a minimum of 200 shares to factor in commissions, let stocks play out without watching them daily, sell on bad news or large downside volume, and use indexes to identify sectors that may move with current market trends. The document also encourages further learning technical analysis skills through online courses with a money-back guarantee.
Este documento define las finanzas y la administración financiera, y describe los tres principales componentes de las finanzas: administración financiera, inversiones y mercados financieros. También explica la diferencia entre finanzas y administración financiera, y describe los objetivos y funciones clave de la administración financiera como maximizar el rendimiento de la inversión, el valor de la empresa y mantener la liquidez. Además, identifica los principales actores reguladores del sistema financiero como el Banco Central de Reserva del Perú y la Superintendencia de Banca
This document summarizes an overview of symmetric encryption algorithms and modes, including one-time pads, stream ciphers, block ciphers like AES, and encryption modes like ECB, CBC, CTR, and XTS. It discusses the properties, advantages, and disadvantages of each. It also covers topics like AES-NI instructions, padding oracle attacks, parallelization of encryption/decryption, and attacks like plaintext recovery from ciphertext manipulation.
The document discusses the feasibility of creating custom quantitative trading strategies, outlining five basic strategies: mean reversion, momentum, valuation, sentiment, and seasonality. Each strategy is examined in terms of intuition, reproducibility, data access, capacity, and common pitfalls, emphasizing the importance of understanding their underlying principles. Additionally, it highlights the popularity of these strategies among retail quants using Quantopian, with insights into top shared algorithms.
Should You Build Your Own Backtester? by Michael Halls-Moore at QuantCon 2016Quantopian
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Michael Halls-Moore's talk at QuantCon 2016 addresses the importance of backtesting in quantitative trading, highlighting pitfalls, methods, and software. He explains the differences between for-loop and event-driven backtests, emphasizing the need for a robust design to improve live trading results. Ultimately, building a custom backtester is encouraged as a valuable learning tool for aspiring quants.
Visual Optimal is a free tool developed by Little Fat Cow that allows users to visualize the robustness of trading strategies by generating 3D surface charts of parameter optimizations. The user guide instructs users to optimize their trading strategy in Tradestation, save the output as a .txt file, then use Visual Optimal to read the file and generate interactive surface charts with color-coded fitness metrics like net profit, profit factor, and return on account for up to 3 parameters. Examples of good and bad surface charts are provided.
This document discusses the centralization of markets through the Securities Information Processor (SIP) and National Best Bid and Offer (NBBO), which consolidate market data like bid/ask quotes and trades from various trading venues. It also describes high-frequency and algorithmic trading strategies, like latency arbitrage and index arbitrage, and how they provide liquidity but can also harm other investors. Dark pools are mentioned as markets that hide liquidity. The document analyzes market data from an event on August 24, 2015 and questions whether high-frequency traders exacerbated volatility.
Beware of Low Frequency Data by Ernie Chan, Managing Member, QTS Capital Mana...Quantopian
?
The document discusses the importance of data integrity in backtesting trading strategies, highlighting that poor data can lead to inflated backtest performance. It provides examples of trading strategies, including mean reversion and intraday momentum, underscoring the difference in performance outcomes when using various price data sources. The conclusion stresses that the type of historical data required depends on both execution price determination and trading signal triggering.
Este documento presenta una estrategia de trading de divisas de bajo riesgo y alto retorno conocida como "La Estrategia 10". La estrategia sugiere apuntar a ganancias de 10 pips por trade para minimizar las pérdidas y maximizar las ganancias a largo plazo acumulando peque?as ganancias diarias. Explica cómo mover el stop loss al punto de equilibrio para reducir el riesgo y potencialmente ganar más de 10 pips en algunos trades.
This document provides 16 tips for consistently making profitable stock trades in any market. It advises traders to understand how different industries and sectors react, wait for a clear setup in a stock before chasing it, allocate a minimum of 200 shares to factor in commissions, let stocks play out without watching them daily, sell on bad news or large downside volume, and use indexes to identify sectors that may move with current market trends. The document also encourages further learning technical analysis skills through online courses with a money-back guarantee.
Este documento define las finanzas y la administración financiera, y describe los tres principales componentes de las finanzas: administración financiera, inversiones y mercados financieros. También explica la diferencia entre finanzas y administración financiera, y describe los objetivos y funciones clave de la administración financiera como maximizar el rendimiento de la inversión, el valor de la empresa y mantener la liquidez. Además, identifica los principales actores reguladores del sistema financiero como el Banco Central de Reserva del Perú y la Superintendencia de Banca
This document summarizes an overview of symmetric encryption algorithms and modes, including one-time pads, stream ciphers, block ciphers like AES, and encryption modes like ECB, CBC, CTR, and XTS. It discusses the properties, advantages, and disadvantages of each. It also covers topics like AES-NI instructions, padding oracle attacks, parallelization of encryption/decryption, and attacks like plaintext recovery from ciphertext manipulation.
The document discusses the feasibility of creating custom quantitative trading strategies, outlining five basic strategies: mean reversion, momentum, valuation, sentiment, and seasonality. Each strategy is examined in terms of intuition, reproducibility, data access, capacity, and common pitfalls, emphasizing the importance of understanding their underlying principles. Additionally, it highlights the popularity of these strategies among retail quants using Quantopian, with insights into top shared algorithms.
Should You Build Your Own Backtester? by Michael Halls-Moore at QuantCon 2016Quantopian
?
Michael Halls-Moore's talk at QuantCon 2016 addresses the importance of backtesting in quantitative trading, highlighting pitfalls, methods, and software. He explains the differences between for-loop and event-driven backtests, emphasizing the need for a robust design to improve live trading results. Ultimately, building a custom backtester is encouraged as a valuable learning tool for aspiring quants.
Visual Optimal is a free tool developed by Little Fat Cow that allows users to visualize the robustness of trading strategies by generating 3D surface charts of parameter optimizations. The user guide instructs users to optimize their trading strategy in Tradestation, save the output as a .txt file, then use Visual Optimal to read the file and generate interactive surface charts with color-coded fitness metrics like net profit, profit factor, and return on account for up to 3 parameters. Examples of good and bad surface charts are provided.
This document summarizes a presentation on Docker given at Yishou University. It introduces Docker concepts like virtualization, the differences between containers and VMs, the Docker ecosystem and tools. It covers the Linux and Docker CLIs, using the Docker Engine, building minimal Docker images with Dockerfile, and using Docker and Qemu to emulate a Raspberry Pi Raspbian image. Upcoming topics for next week are also listed.
24. 3. 交易策略的檢驗 – 最大的敵人 -Curve Fitting 你要的是什麼 ? 過去資料回測亮麗的績效? 未來實際交易穩健的表現! Buy next bar at close - 2 *(minmove/pricescale) limit; SellShort next bar at close + 2 * (minmove/pricescale) limit;
37. 3. 交易策略的檢驗 – Walk Forward 注意事項 In-Sample, Out of Sample 的長度應該取多久 ? 用什麼來當評量標準 (Fitness)? NetProfit, Profit Factor, ROA,MDD… 要取 In Sample 第一名的最佳參數組合嗎? 應該要用 Rolling 或是 Anchored 的 Walk Forward? Walk Forward 的 WFE 如何計算? Out of Sample 的績效很差 , 怎麼辦?