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Find trading signals with amazing returns for popular stocks.

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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

Ford (F) Monthly Trading Strategy

This strategy has given about 1000x better return than buy-hold over the last 41.6 years. Update 8/13/2017 This algorithm continues to perform well, outperforming buy-hold by 30.4% annualized over the last 10 months: Ford monthly MAYC MALO update Aug 2017 Notice this had a very low drawdown (1.2%).

AMZN 20,000,000% total return

Over 500 times better return than buy-holdIn the time frame May 16th 1997 to Aug 1st 2016, this strategy gave a return of 88.9% compounded which amounts to over $219,000 for every dollar invested, that’s 518 times better than the performance of buy-hold which only gave $423. This screenshot shows the strategy description and performance […]

Berkshire Hathaway trading strategy

This is a Berkshire Hathaway trading strategy which would have given almost ten times the return performance of buy/hold over the last 10 years with half the drawdown. The strategy is detailed in the table below, it was straightforward, with 123 trades over the 10 year backtest period. All trading was done at the weekly […]

GOOGL Trading Strategy (Weekly)

Here is a Google Inc (GOOGL) trading strategy with once a week intervention which would have performed significantly better than buy-hold over the last 10 years. Annualized return was 31.5% vs. 16.5% (returning $149K for 10K outlay vs $36.7K, compounded), drawdown was 40.2% vs. 62.4%, so reward/risk was better. The buy and cover signal (see […]

DIS Trading Strategy

Here is a Walt Disney Company (DIS) trading strategy with daily maintenance which had quite nice characteristics; 59% annualized return over the last 2 years. The performance was better than long buy-hold with lower drawdown and about three times the reward-risk. Signal reinforcement was good, and not many dual signal days. Below I show the […]

Two GLD Trading Strategies (Daily)

GLD is the much traded SPDR Gold Trust ETF. I find these two GLD trading strategies interesting because they gave reasonable results (32.6% and 48% annualized return) for each of the four 6 month periods of the analysis. The strategies require daily intervention. Strategy 1: BCS AHC This is a buy on fall, sell on […]

TSLA Trading Strategy (Daily)

This TSLA trading strategy would have given a 1062% return over 2.1 years vs. a buy-hold return of 86% for the same period. The strategy is based on buying and selling when the stock price rises above specific thresholds. The buy side keyed off the day’s open price; the buy and cover signal appeared when […]