Quantocracy

Quant Blog Mashup

ST
  • Quant Mashup
  • About
    • About Quantocracy
    • FAQs
    • Contact Us
  • ST
Quant Mashup - iMarketSignals
Timing the Market with Google Trends Search Volume Data [iMarketSignals]
Past research suggests that the relative change in the volume of Google searches for financial terms such as “debt” or “stocks” can be used to anticipate stock market trends. In this analysis the search term “debt” was used to obtain monthly search volume data from Google Trends. The
- 6 years ago, 29 Aug 2018, 01:41pm -
Better Returns From Seasonal Investing In The S&P 500 (1950-2018) [iMarketSignals]
From 1950 to 2018 the S&P 500 performed best from November to April, and significantly worse from May to October during most years. From 1950-2018 the real annualized return for the S&P 500 was 6.71%. Had one only invested from November to April each year the return would have been 6.60%,
- 7 years ago, 11 Jun 2018, 10:24pm -
Timing the Stock Market with the Inflation Rate [iMarketSignals]
Stocks usually perform poorly when inflation is on the rise. Using the inflation rate, we developed a market timer according to two simple rules. Switching according to the Timer signals between the S&P500 with dividends and a money-market fund would have provided from Aug-1953 to end of
- 8 years ago, 15 Feb 2017, 11:23am -
Forecasting Returns with Shiller’s CAPE and its 35-Year Moving Average [iMarketSignals]
Shiller’s Cyclically Adjusted Price to Earnings Ratio (CAPE ratio) is at 27.8, which is 11.1 above its long-term mean of 16.7, signifying overvaluation of stocks and low forward returns. According to Jeremy Siegel it incorporates time-inconsistent data, and the failure to correct for changes in
- 8 years ago, 19 Jan 2017, 11:04pm -
Timing the Stock Market with the Shiller CAPE [iMarketSignals]
The Shiller CAPE (cyclically adjusted price-earnings ratio) is typically regarded as a stock market valuation measure. When the CAPE is high stocks are supposed to be expensive, and vice-versa. The CAPE itself is not a good stock market timer. However, the CAPE can indirectly be used for market
- 8 years ago, 13 Dec 2016, 12:02pm -
Market Timing Using Performance of Hi-Beta and Lo-Beta Stocks [iMarketSignals]
This market timing model compares the performance of two different types of stock groups over time and provides signals when to invest or not to invest in the stock market. When the performance of the Hi-Beta stocks becomes lower than, or equal to Lo-Beta stocks the model exits the stock market and
- 8 years ago, 5 Oct 2016, 10:09am -
Profitable Market Timing with the Unemployment Rate [iMarketSignals]
If the unemployment rate is higher than three months ago the model exits the stock market and enters the bond market, and re-enters the market when the unemployment rate is equal or lower than where it was three months ago. From 2001 to 2016 switching between bonds and stocks provided significant
- 8 years ago, 29 Sep 2016, 02:23pm -
The S&P 500 Death Cross – Time to Panic? [iMarketSignals]
At the end of August 2015 the 50-day moving average of the S&P500 crossed its 200-day moving average to the downside – the 33rd occurrence of a “Death Cross” since 1950. The performance of the S&P500 was investigated for periods ranging from one year before to two years after a Death
- 9 years ago, 25 Sep 2015, 10:50am -
Avoiding Stock Market Crashes with the Hi-Lo Index of the S&P500 [iMarketSignals]
This daily indicator is calculated as the ratio of the number of S&P500 stocks that have reached new 3-month-highs minus those that have reached new 3-month-lows, divided 500. Exiting and entering the stock market according the indicator’s signals would have avoided major drawdowns of the
- 9 years ago, 28 Aug 2015, 12:28pm -

    Welcome to Quantocracy

    This is a curated mashup of quantitative trading links. Keep up with all this quant goodness via RSS, Facebook, StockTwits, Mastodon, Threads and Bluesky.

    Sources included on mashup:

    Top Ranked by Readers


    Allocate Smartly
    EconomPic
    Financial Hacker
    Flirting with Models
    Hudson and Thames
    Investment Idiocy
    Quant Start
    QuantStrat TradeR
    Robot Wealth
    Turing Finance

     

    Other Great Sources


    Alex Chinco
    Alpaca
    Alpha Architect
    Alpha Scientist
    Alvarez Quant Trading
    Artur Sepp
    Asm Quant
    Auquan
    Better Buy And Hold
    Black Arbs
    Blue Owl Press
    Blue Sky AM
    Build Alpha
    Capital Spectator
    CSS Analytics
    Dekalog Blog
    DileQuante
    DTR Trading
    ENNlightenment
    EP Chan
    Eran Raviv
    Factor Investor
    Factor Research
    Following the Trend
    Foss Trading
    Gekko Quant
    Geodesic Edge
    GestaltU
    Invest Resolve
    Investing for a Living
    Jonathan Kinlay
    Kid Quant
    Koppian Adventures
    Light Finance
    Machine Factor Tech
    Mark Best
    Markov Processes
    Mathematical Investor
    Meb Faber
    Only VIX
    Open Source Quant
    OSM
    Oxford Capital
    Patrick Aschermayr
    Patrick David
    Philosophical Economics
    Portfolio Optimizer
    Propfolio Management
    Python For Finance
    Quant at Risk
    Quant Connect
    Quant Fiction
    Quant For Hire
    Quant Insti
    Quant Journey
    Quant Rocket
    Quantifiable Edges
    Quantpedia
    Quants Portal
    Quantum Financier
    R Trader
    Ran Aroussi
    Relative Value Arbitrage
    Reproducible Finance
    Return and Risk
    Scalable Capital
    Scott's Investments
    Six Figure Investing
    Sober Quant
    SR SV
    System Trader Show
    Systematic Edge
    Thiago Marzagao
    Throwing Good Money
    Timely Portfolio
    Todo Trader
    Top of the Bell Curve
    Tr8dr
    Trading with Python
    TrendXplorer
    Two Centuries Investments
    Voodoo Markets
    Wisdom Trading

     

    Other Great Aggregators


    Abnormal Returns
    Academic Quant News
    Carl Carrie
    Quant Conferences
    R-Bloggers

    Copyright © 2015-2025 · Site Design by: The Dynamic Duo