Table of Contents

Profitable day trading is not a myth; it is achievable for everyone by following one simple outline. Traders are responsible for profits and minimizing drawdowns. To achieve more consistent profitable day trading, first, we need to determine what timeframe we wish to trade:

  • In developing an algorithmic trading system, we have to determine which timeframe we want to be consistently profitable over.
  • The most important metric in determining consistent profitability is the expected profit factor.

 

1. Profitable Day Trading Over X Timeframe

We could be a day trader who holds no trades overnight, or you could hold trades for a week, a month, or even a year. Some traders may only make 10 trades per year, while others might have thousands of trades. Every individual must decide the timeframe they wish to achieve more consistency over.

In developing our system, we have determined which timeframe we want to achieve more consistent profitable day trading over. Now, to achieve this goal, we need a level of confidence or expectation of consistent profitability. You must determine what confidence level you expect to be profitable on a monthly basis. At Quant Savvy, we prefer to have a 95% confidence level that we expect to be profitable at the end of the month. Therefore, at most, we will expect only a few losing months over 7-plus years of trading (see our Trading Bot for performance).

Expectancy is not the critical component of being consistently profitable, nor is the winning percentage of each trade. The most important metric in determining consistent profitability is the expected profit factor. The higher the profit factor for any system, the more chance of achieving consistent profitability.

  • Expected profit factor = (Probability of Win * Average Win) / (Probability of Loss * Average Loss)

 

2. How to Achieve Profitable Day Trading

First, a trader must choose a timeframe they are comfortable with and then focus on profit factor and the number of trades. The higher the profit factor and the higher the number of trades, the higher the expectation of consistent profitability, which is the main goal of any trader.

A table displaying the relationship between trade frequency and profit factor required to be profitable within a timeframe at a confidence level of 95%:

Number of trades …………….. Profit factor required
10………………..4.00
20………………..2.50
30………………..2.00
40………………..1.75
60………………..1.50

At a 95% confidence level, if you wish to be profitable every week and your system produces a profit factor of only 1.75, then you need 40 trades out of it to achieve this goal. Therefore, for a day trading system to achieve consistent profitability, you will have to trade 40 trades per day at a 1.75 profit factor. This will be extremely difficult for a single system to have this many opportunities per day (excluding high-frequency trading) and will be rare.

  • From this, you can see that it is very unrealistic to achieve profitability every single month for a single system. Most models or systems traders rarely trade over 30 times per month, and getting profit factors higher than 2.0 is extremely difficult.
  • This post highlights the dangers of unrealistic expectations in day trading and emphasizes the most important metric required for a winning system (profit factor). At Quant Savvy, our Trading Bot achieves this goal at a 95% confidence level of profitability each month by combining multiple algorithmic trading systems that are completely uncorrelated (see our performance). This is the only way to produce the potential for more consistent profitability in a selected timeframe.
 

In our next blog post, we will outline the benefits of combining models/systems and will continue a guide to achieve more consistent profitability.

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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.