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Find trading signals with amazing returns for popular stocks.

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Excel based tools for investors

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FIND AMAZING TRADING STRATEGIES, OR TEST YOUR OWN WITH SIGNALSOLVER

When you are looking for trading strategies for stocks, ETFs and mutual funds, a logical place to start is to know what worked in the past. SignalSolver helps you with that. Type in a stock, ETF or mutual fund symbol and SignalSolver downloads historic price data then backtests it to find buy-sell signals and trading strategies that gave good results. It is quite simple to use and can load monthly, weekly or daily stock price data. The trading strategies it finds are often simple price action based techniques that you won't find elsewhere. But while it is very good at finding exploits based on historic data, profitability moving forward is never guaranteed. Backtesting cannot predict future prices. SignalSolver is an unlocked, digitally signed VBA application wrapped in an unprotected Excel workbook, so you can easily add functionality for your own needs.

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Check out examples of the trading strategy backtest results which SignalSolver has found

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SIGNALS POSTED RECENTLY

Multi-algorithm analysis for FB (Facebook)

Today, I’ll just throw out some more results from the multi-algorithmic testing I’ve been doing with SignalSolver. This time for Facebook (symbol FB). This is a stock which moved a lot in the time-frames used in the study. Could SignalSolver correctly predict and capitalize on these price movements? Let’s see… Optimizations for June 2015 through […]

Multi-algorithm tests for AMZN

Today I will be looking at some very interesting results of multi-algorithm testing on the stock AMZN (Amazon). The idea here is to use SignalSolver to find multiple trading systems which performed well in the past, then run those systems simultaneously on out-of-sample forward data to see what would have happened had you followed them […]

Preliminary results of multi-algorithm testing

The portfolio and methodology for this multi algorithm study are described in my previous post. Here are links to the results spreadsheets: EMA/Figure of merit optimization periods: Sept 2014-15  Jan 2014-15 June 2015-16 PB/Return optimization period:  Jun 2015-16 On these spreadsheets you can use the autofilter to include and exclude stocks of interest. For any […]

Multi-algorithm trading strategy testing- Portfolio and Methodology

“Two heads are better than one”, the saying goes. But can averaging improve trading systems? Can a multi-algorithm technique improve profitability and lower risk? After compiling the “Summary of Strategy Performance”, I was very curious to quantify if and for how long strategies such as those published here were profitable for. To do that, I […]

Summary of Signalgorithm trading strategy Oct 2016

Summary of Strategy Performance Oct 2016

This update covers 26 strategies published 2/10/15 through 9/18/15. For the analysis we measure the results of investing $10K in each strategy on the day of publication. 17 of the strategies made a loss over the entire period, however 5 of these were strategies that broke down after showing a profit. Overall Results vs Hold […]

IBB Trading Strategy Details and Performance

IBB Trading System (Weekly)

This weekly trading strategy for IBB had 3 times better annualized returns than IBB and more than 10 times better return over the 10.1 years. For each 2.5 year period within the 10 years,  the annualized return was between 30 and 50%.

KERX Trading System Equity Curve

KERX Trading System

This is a trading system for Keryx Biopharmaceuticals Inc. (KERX). It requires daily intervention, trading at the open of business. KERX Trading System: Trades Spreadsheet  

FEYE Trading System: Performance

FEYE Trading System

A trading system which worked for FEYE (FireEye). This is based on daily data, so traded at most once per day. FEYE Trading System: Trades List As always, future performance is not guaranteed.