Trading Strategies Archives

Swing Trading Strategy

In this blog post we will introduce you to the swing trading itself, swing strategies and techniques without hyperbolizing potential returns.

Four Kinds of Market Inefficiencies

Producing trading ideas may be a process that is frustrating, particularly if there is not a structured framework for it.

How to Place Stop Loss Profit Target

In this post we’ll cover sell stop limits, sell stops, buy stop limits, buy stops, as well as techniques and tips on how to effectively place them in any kind of market.

Day Trading Strategies: Momentum Strategy

momentum trading strategy day trading techniques

Many day traders use momentum strategies to take advantage of trends. In this post we create a simple momentum strategy without using

Algorithmic trading is a concept that is employed most often in online trading today. The process for algorithmic trading involves having a set pattern with clearly defined trading instructions for a particular trading platform.

Quant Savvy Feedback

We welcome all Quant Savvy feedback. Be it from potential users or existing users. We are curious to hear from you anything related to algorithmic trading, topics can include: What other information you would like to see on the website Questions you feel we should address regarding our algorithmic trading systems Current trading experience Difficulty […]

Why You Need to Use Alternative Data

It is estimated that asset managers are currently spending $2-3 billion on alternative data, including acquiring datasets, implementing big data technology, and hiring talent. Spending is projected to grow 10-20% annually, in line with big data growth in other industries.

Finding a Daytrading Edge

What is day trading edge and how to find it? Here’s our formula

Quantifying market inefficiency or behaviour beyond randomness

Define the behaviour, determine the conditions the behaviour persists and then data mine and create code that best fits this non-random behaviour.

Profitable Day Trading Over X Timeframe

Profitable day trading: maximise profits and minimise drawdowns

Second Day Gap Day Trading Strategy

If you are having difficulty finding an edge or need a little guidance where to start then read the following post.

Fibonacci Daytrading

Nearly all day traders have heard of the Fibonacci extensions or fib time cycles. In this article, we will outline correct methods to use Fibonacci Extensions to find trend reversal price levels.

Autonomous Algorithmic Trading Platforms

Algorithmic trading has taken a huge front seat in the investment sector this week.

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**Commodity Future and Trading Commission Futures has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures markets. Do not trade with money you cannot afford to lose. The past performance posted on quantsavvy.com is not necessarily indicative of future results. Quant Savvy provides trading algorithms based on a computerized system. All advice is impersonal and not tailored to any specific individual’s unique situation. Quant Savvy, and its principles, are not required to register with the NFA as a CTA and are publicly claiming this exemption. Information posted online or distributed through email has NOT been reviewed by any government agencies — this includes but is not limited to back-tested reports, statements and any other marketing materials. Carefully consider this prior to purchasing our algorithms. For more information on the exemption we are claiming, please visit the NFA website: http://www.nfa.futures.org/nfa-registration/cta/index.html. If you are in need of professional advice unique to your situation, please consult with a licensed broker/CTA. **DISCLAIMER: Commodity Futures Trading Commission Futures trading has large potential rewards, but also large potential risk. You must be aware of the risks and be willing to accept them in order to invest in the futures markets. Don’t trade with money you can’t afford to lose. This is neither a solicitation nor an offer to Buy/Sell futures. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website or on any reports.

The past performance of any trading system or methodology is not necessarily indicative of future results. ***All returns posted on this site and in our videos is considered Backtested Trading Performance. Backtested trading results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested trading results and the actual results subsequently achieved by any particular trading program. One of the limitations of backtested trading results is that they are generally prepared with the benefit of hindsight. In addition, backtested trading does not involve financial risk, and no backtested trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of backtested performance results and all of which can adversely affect actual trading results.

CFTC RULE 4.41 – Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under — or over — compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown. Statements posted from our actual customers trading the algorithms (algos) include slippage and commission. Statements posted are not fully audited or verified and should be considered as customer testimonials. Individual results do vary. They are real statements from real people trading our algorithms on auto-pilot and as far as we know, do NOT include any discretionary trades. Tradelists posted on this site also include slippage and commission. All advice and/or suggestions given in Quant Savvy website are intended for running automated software in simulation mode only. Trading futures is not for everyone and does carry a high level of risk. All past performance shown is backtested data only.

Category: Trading Strategies