Actual and verified trading results of the Greed and Fear model portfolio are now available provided by trusted third parties. They are keeping track of the actual trading activity and record each and every trade made, based on the Greed and Fear indicator.

Starting in 2017, it was time to take performance measurement to the next level. Instead of measuring index points that were 'predicted correctly', from now on it will be about actual and verified trading results. These results were achieved by autotrading using one or more autotrading platforms. If you want the same trading result, jump right into becoming an investor to the Greed and Fear portfolio.

Last year, a start was made with verified actual trading results and I will continue doing this moving forward. The result is based on trading only 1 E-mini S&P future with a (minimum) $10.000,- base amount. This is the Greed and Fear model portfolio.

In 2017, a start was made with verified actual trading results, all through a difficult but still profitable 2018. Now we continue doing so for the year 2019. The result is based on trading only 1 E-mini S&P future with a (minimum) $10.000,- base amount. This is the Greed and Fear model portfolio.With the accumulated profits, the value of this portfolio stands at $17185,50 at the start of 2019.

In 2017, a start was made with verified actual trading results. Now we continue doing so for the year 2020. The result is based on trading only 1 E-mini S&P future with a (minimum) $10.000,- base amount. This is the Greed and Fear model portfolio.With the accumulated profits, the value of this portfolio stands at $25370,50 at the start of 2020.

This month too shows that it is not necessary to execute many trades in order to be profitable. Just one trade for the month of April, only one(!) I should add though that 3 limit orders were missed before number 4 was an accurate hit and profitable. The position ran 4 days, which is above average for my trading.

Still, it should be better to make slightly more trades so that trading results more accurately reflect the neural network's performance. In other words, the last couple of winners could just be lucky shots. At some point, the losing trades will return and then it will be necessary to keep trading in order to align with the long term statistics.

So in short, April brought us a net profit of  $1169,00 trading only one S&P E-mini future contract. The performance of the Greed and Fear model portfolio for this year now stands at a net result of  $5820,00.

There were no trades made in the month of August, mainly due to the holiday season and increased volatility. As explained in other posts, increased volatility makes it difficult to find sensible entry and exit levels or stop-loss levels.

The yearly result of the Greed and Fear model portfolio hasn't changed, now adding August with $0,00 result.

Unfortunately, no trades were made in December. Market movement in or around holidays is usually on lower volume and movement (if any) seems more random. 

The year started off with the worst month in a long time. Two trades, both losing ones, causing a total loss of $1524,50 Order execution was according to plan, but that does not guarantee success.

July trading was again slow. I missed a few entries, once only by 0,25 points, but that's how it is. Trading is not about what 'could-have-been' or 'if-only-I-had-done-so-and-so'. Only the actual trades with real results is the only thing that matters.

So, in the end, there were two trades. One trade was up quite big initially, but then the market took it back and my stop loss was hit. This left only a small profit. The other was solid and closed at the end of the week. Closing into the weekend is like a safety measure, anything can happen that could strongly move the markets on the open on Monday. It's also good for mental rest, not worrying about how the markets may react after the weekend.

All in all, the net trading result for July was $1.275,50. The yearly result of the Greed and Fear model portfolio shows all the monthly latest results.

No trades were made in the month of June. After the low of early June, the neural network had a hard time making sense of market behavior at the time. I wanted to wait for it to pick up and get in tune, but it never really did.

So instead, time was spent on further development and as a result, some progress was made which looks promising for production use. Let's see how that works out in July.

Of course, the yearly result of the Greed and Fear model portfolio hasn't changed.

Much like last month, some limit orders missed their entry by only a few points. This left us with only two trades in March, one a loser, one a winner. And just like the trading textbooks advise us to do, the loser was kept small, the winner big. This resulted in a net profit of $1038,- this month for the Greed and Fear model portfolio bringing the total for 2019 at +$4651,- by trading only exactly one E-mini S&P future.

The first losing month of this year is now a fact. In total 4 trades were made, of which only one small winner. The three others were 'normal' losses, and thanks to having our stop losses in place, those losses did not completely destroy the model portfolio.

November trading was slow, just one trade, an average winner. For a significant part of November, the S&P went mostly sideways which is difficult to trade.

October finally showed some activity in the Greed and Fear model portfolio.

The month started with a losing trade, which was an unfortunate one. Getting stopped out and then seeing the market going your anticipated way is always tough. The market pulled back big and then recovered. So trading execution was absolutely correct, it just wasn't rewarded. The same way incorrect execution is sometimes profitable. This is one of the most difficult aspects of trading and not get tempted to ignore trading rules and move stops.

Again no trades were made last month. Some very promising orders were placed but unfortunately never filled. Meanwhile, a lot of work is done improving the Tradebot. This software is able to trade completely autonomously, opening and closing position all by itself without human intervention. This is unlike how trading takes place so far with a manually entered bracket-order, only once per day maximum.

Also, it will likely trade at a much higher frequency, maybe up to 10 trades each and every day. So far it has never made it to production and for a while, development stood completely still. That may change soon.

The yearly result of the Greed and Fear model portfolio hasn't changed, now adding September with $0,00 result.