TrendMaster, v. 5.1

TrendMaster (ver 5.0, a.k.a. "Mr. T") is a trend-anticipating system which shows eye-popping results. Rather than a simple "trend-rider" which continually lags, TrendMaster uses pattern recognition to anticipate trend changes. It hunts for turns in market cycles using a proprietary decision matrix of 27 "trade triggers" (variants of classic technical indicators). In backtesting the annualized return (July 2017-July2018) of the top 100 largest capitalized equities, not only did its results beat the indexes, but it outstripped a buy-and-hold strategy by a whopping 700%: i.e., while the 100 largest equities had an average annual yield of 17%, the strategy produced a 129% return across the entire range of stocks.* Even more staggering results can be seen when using the system in strongly-trending markets like cryptos. (See, for instance, the particularly stunning results for Bitcoin Cash in the screen shot at the end). [[ *- data upon request ]]

The following charts give you some sample tests of best performing (top chart) and worst performing (bottom chart) equities, ETFs, and cryptos (July 2017-July2018 time range). [Note that, the "worst" performers only means worst by comparison. Often, these still beat Buy-and-Hold. As with the Litecoin returns at the end, when applied to cryptos within the 15min - 1day time frames, "worst" is sometimes still pretty good. Always backtest your market before fully investing.]

TrendMaster / "Mr T" 5.1, Example Annualized returns

>>> Higher Performing Instruments (best performing interval between 15min - 1 day) <<<
Symbol Description Interval % Return Trades % Profitable Profit Factor Max Drawdown Sharpe Ratio Buy & Hold
DUST 3x Short Gold miners 30 min 3050% 421 43% 1.5 ( -17% ) 1.8 ( - 27 % )
NUGT 3x Long Gold miners 15 min 3300% 423 44 1.2 ( -11% ) 1.2 ( - 10 % )
APPL Apple, Inc 1 hour 118% 354 46 2.2 ( -6% ) 1.3 32%
GOOG Alphabet, Inc 30 min 128% 660 44 1.9 ( -5% ) 1 27%
BABA Alibaba Group 30 min 389% 642 46 2.3 ( -3% ) 1.6 37%
BTC/USDT Bitcoin 1 hour 1000000% 1573 53 3.1 ( -8% ) 1 57%
ETH/USDT Ethereum 1 hour 13000000% 1533 55 3.2 ( -12% ) 1.2 56%
LTC/ USDT Litecoin 30 min 5000000% 1946 54 2.8 ( -12% ) 1.2 ( - 71% )


>>> Lower Performing Instruments and/or Lower Performing Market Settings (worst performing interval between 15 min - 1 day) <<<
Symbol Description Interval % Return Trades % Profitable Profit Factor Max Drawdown Sharpe Ratio Buy & Hold
PSQ Short Nasdaq ETF 5 min ( - 14% ) 1894 28% ( - 0.9 % ) ( -20% ) ( -0.3 ) ( - 20 % )
SH Short S&P ETF 1 day 20% 35 51% 2.8 ( -7% ) 0.5 ( - 12 % )
MSFT Microsoft 1 hour 37% 249 37% 1.4 ( -4% ) 0.5 45%
AZN Astrazeneca, PLC 1 day 22% 32 50% 1.9 ( -6% ) 0.3 ( - 4 % )
MUFG Mitsubishi UFJ 1 day 296% 1255 39% ( - 0.6 ) ( -27% ) ( - 0.3 ) ( - 16 % )
BTC/USDT Bitcoin 1 min ( - 33 % ) 1349 25% ( - 0.5 ) ( - 33% ) ( - 1.1 ) 5%
ETH/USDT Ethereum 1 min ( - 40 % ) 1595 24% ( - 0.6 ) ( -40% ) ( - 1.1 ) 6%
LTC/USDT Litecoin 1 day 123 14 57% 4.8 ( - 5% ) 1.1 ( - 48% )


Note, of course, that any trend-anticipating bot has limitations. The Lower Performing results above show that because the system seeks gains in trends, it can underperform in choppy, aimless markets. Similarly, very short time frames (i.e. 1 - 5 minutes) can provide too many gaps and too few runs for it to reliably track. Backtesting is therefore essential to make sure this system is suitable for your (a) market, (b) time frame, and (c) trading mindset. On the other hand, a broad range of data show that almost any trending market, in almost any time frame, can be very productive.

Contact us if you would like to experience this bot.