TOOLS


Excel based tools for investors

SIGNALS


Find trading signals with amazing returns for popular stocks.

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Spreadsheet services for investors

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Excel Based Tools and Services

At Algorithm Science we offer a variety of tools for gathering data from the internet and analyzing it. Here, you can find tools for extracting data from JSON (Java Script Object Notation) streams which is rapidly evolving as the new data standard on the web. We have JSON extractors for all kinds of financial information including historical stock price data, balance sheets, option chains, portfolio information. We also have a tool for searching news. These tools use a framework called JeX which greatly simplifies the process for JSON extraction and we are pleased to offer the JeX framework as a technological innovation which our customers can use to do their own JSON extraction.

Here, you can also find SignalSolver, our flagship product, which back-tests price history and exposes buy and sell signals which would have exploited these price movements. From time to time, we publish the signals we have found, and a few are presented in the sections below.

In support of legacy financial spreadsheets, we also offer EmulateURL, a product which emulates the now defunct Yahoo! Finance URLs which provided historical price, dividend and split data, consequently we are able to give such spreadsheets new life.

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See screenshots, features, licensing, pricing, tutorial, help files and a gallery of results.

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Try SignalSolver for free. Download the spreadsheet. Requires Windows and Microsoft Excel.

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Check out examples of buy and sell signals found by SignalSolver

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SIGNALS POSTED RECENTLY

UWTI Trading Strategy (daily)

This UWTI trading strategy would have returned $676,147 for $10K outlay over a 2 year period. It was a very straightforward strategy with simple maintainence, once a day you would have put in either market orders to cover and buy or stop orders to sell and short before the open. This is another result discovered […]

TNA Trading Strategy (Daily)

In contrast to yesterday’s TNA trading strategy optimized for low drawdown, this one is optimized for minimum quartus annual return, a new feature of SignalSolver. A quartus is one quarter of the data, 132 days in this instance, and the minimum return was 99% annualized for the most recent quartus Feb 3 to Aug 11th […]

TNA Trading Strategy

Another low drawdown trading strategy-TNA Direxion Daily Small Cap Bull 3XIn the same vein as yesterday’s FAS analysis, here is a low drawdown trading strategy for TNA, with daily intervention. Prasad had asked me to search for low drawdown strategies for a few of the triple leveraged ETFs, this being one of them. As with […]

FAS (daily)

FAS (Direxion Daily Financial Bull 3X ETF) trading strategy with low drawdownThis is one of the triple leveraged funds which Prasad had asked me to come up with a low drawdown trading strategy for,  I’ll be looking at the others soon. You can set up SignalSolver to optimize for low drawdown. The way you do […]

DUST Daily Trading Strategy

This trading strategy is for stock symbol DUST the Direxion Daily Gold Miners Bear 3X ETF. It is the complementary stock to NUGT which I analyzed last week. Its not hard to find strategies which would have exploited the intense volatility of this kind of security, if you have access to an optimizing backtester. The […]

IBM Trading Strategy (Weekly)

This IBM trading strategy made 11x the total returns (4x the annualized return) of the underlying stock with half the drawdown. The backtest period was 10years. The strategy itself (see table below) was straightforward with both buy and sell signals triggered by falling prices. The buy signal keyed off the 52 week high while the […]

NUGT Trading Strategy (Daily)

Original Post March 12th 2015Please note, this post was corrected 1-3-16 to account for a short-side error in the original calculations. Apologies for this. This NUGT trading strategy (Direxion Daily Gold Miners Bull 3X ETF) gave a theoretical $1.8 million profit for a $10K initial investment over 2.1 years. The trading strategy required once a […]

AAPL Trading System (Monthly)

With $94 billion in profits (for $10K initial investment) this has one of the highest total returns I have seen for any algorithm. It is an interesting study, but I wouldn’t recommend it as a good system to trade moving forward. It is somewhat over-tuned, and the parameters are close to regions which would have […]