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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

NFLX Signals Weekly Equity

NFLX (Netflix) Signals Weekly

NFLX Signals (Weekly) For the 528 week (10.1 year) period from Jul 7 2008 to Aug 17 2018, these signals for Netflix, Inc. (NFLX) traded long and short would have yielded $38,786,358 in profits from a $10,000 initial investment, an annualized return of 126.6%. The long-side profit (buy/sell only, no shorts) for the signals was […]

AAPL Signals Weekly Equity

AAPL (Apple) Signals – Weekly

AAPL Signals (Weekly) For the 528 week (10.1 year) period from Jul 7 2008 to Aug 17 2018, these signals for Apple Inc. (AAPL) traded long and short would have yielded $1,024,775 in profits from a $10,000 initial investment, an annualized return of 58.3%. The long-side profit (buy/sell only, no shorts) for the signals was […]

AMZN Signals Weekly Equity

AMZN (Amazon) Signals – Weekly

AMZN Signals (Weekly) For the 528 week (10.1 year) period from Jul 7 2008 to Aug 17 2018, these trading signals for Amazon.com, Inc. (AMZN) would have yielded $1,951,107 in profits from a $10,000 initial investment, an annualized return of 68.6%. If you had bought and held the stock for the same period the profit […]

The MASC BAO Trading Strategy

Finding MASC BAO strategies on randomly selected stocks The MASC BAO trading strategy frequently shows up in the top ten backtests. It has the distinction of being the strategy used in the most profitable backtest SignalSolver has ever found–AAPL Monthly MASC BAO which would have generated over $400 Billion from $10,000 invested. Here we look […]

AMZN top 4 algorithms day by day

The out of sample multi-algorithm approach was quite successful for AMZN (see results) so lets do it live and see how it ends up. On Dec 21st, I did the optimization using the EMA band and Figure of merit optimization I have been talking about in the last few posts. For the next 25 trading […]

AAPL $31,000,000 trading strategy, equity curve

AAPL $31,000,000 Algorithm

This AAPL trading strategy would have given a return of $31,712,009 for every dollar invested in December 1980. That’s 123,000 times better than buy-hold, with nearly four times the annualized return (61.4% vs 16.7% for buy-hold) and roughly half the drawdown which  amounts to over six times better reward/risk than buy-hold. AAPL $31,000,000 trading strategy: […]

Multi-algorithm test results for NUGT (4 algorithms)

Multi-algorithm study results for NUGT DUST and X

Multi-algorithm study results for NUGT DUST and X In the interests of scientific method, I’d like to continue the multi-algorithm study by discussing the worst results, those for X (United States Steel Corp. ), NUGT(Direxion Daily Gold Miners Bull 3X ETF) and DUST(Direxion Daily Gold Miners Bear 3X ETF). There was plenty of potential for […]

Multi-algorithm results for UWTI

Oil had a rocky year, lets look at how our multi-algorithm approach worked on an oil related stock, UWTI (VelocityShares 3x Long Crude Oil ETN). In this post, I’m just going to summarize the results: Briefly, the method used is to run SignalSolver to find trading systems which worked for a 250 day period, then […]