Pollinate Futures
(121251959)
Subscription terms. Subscriptions to this system cost $149.00 per month.
C2Star
C2Star is a certification program for trading strategies. In order to become "C2Star Certified," a strategy must apply tight risk controls, and must exhibit excellent performance characteristics, including low drawdowns.
You can read more about C2Star certification requirements here.
Note that: all trading strategies are risky, and C2Star Certification does not imply that a strategy is low risk.
Trend-following
Buys when price goes up, and sells when price goes down, expecting price movements to continue. There are a number of different techniques and time-frames used, including moving averages and channel breakouts. Traders do not aim to forecast specific price levels; they simply jump on a trend and ride it. Typically, trend-following analysis is backward looking; that is, it attempts to recognize and profit from already-established trends.Rate of Return Calculations
Overview
To comply with NFA regulations, we display Cumulative Rate of Return for strategies with a track record of less than one year. For strategies with longer track records, we display Annualized (Compounded) Rate of Return.
How Cumulative Rate of Return is calculated
= (Ending_equity - Starting_equity) / Starting_equity
Remember that, following NFA requirements, strategy subscription costs and estimated commissions are included in marked-to-market equity calculations.
All results are hypothetical.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | YTD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | (0.3%) | +8.8% | +8.4% | ||||||||||
| 2019 | (16%) | (26.2%) | - | - | - | - | - | - | - | - | - | - | (38%) |
| 2020 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2021 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2022 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2023 | - | - | - | - | - | - | - | - | - | - | - | - | 0.0 |
| 2024 | - | - | - | - | 0.0 |
Model Account Details
A trading strategy on Collective2. Follow it in your broker account, or use a free simulated trading account.
Advanced users may want to use this information to adjust their AutoTrade scaling, or merely to understand the magnitudes of the nearby chart.
| Started | $100,000 | |
| Buy Power | $68,089 | |
| Cash | $68,089 | |
| Equity | $0 | |
| Cumulative $ | ($31,910) | |
| Total System Equity | $68,089 | |
| Margined | $0 | |
| Open P/L | $0 |
Trading Record
Statistics
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Strategy began11/29/2018
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Suggested Minimum Cap$100,000
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Strategy Age (days)1962.23
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Age66 months ago
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What it tradesFutures
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# Trades21
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# Profitable10
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% Profitable47.60%
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Avg trade duration19.0 days
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Max peak-to-valley drawdown44.98%
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drawdown periodDec 26, 2018 - Feb 22, 2019
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Cumul. Return-32.7%
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Avg win$1,508
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Avg loss$4,272
- Model Account Values (Raw)
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Cash$68,089
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Margin Used$0
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Buying Power$68,089
- Ratios
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W:L ratio0.32:1
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Sharpe Ratio-0.82
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Sortino Ratio-1.11
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Calmar Ratio-0.829
- CORRELATION STATISTICS
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Return of Strat Pcnt - Return of SP500 Pcnt (cumu)-34.68%
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Correlation to SP500-0.08230
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Return Percent SP500 (cumu) during strategy life84.89%
- Return Statistics
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Ann Return (w trading costs)-80.0%
- Slump
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Current Slump as Pcnt Equity81.90%
- Return Statistics
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Return Pcnt (Compound or Annual, age-based, NFA compliant)-0.327%
- Instruments
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Percent Trades Optionsn/a
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Percent Trades Futures1.00%
- Slump
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Current Slump, time of slump as pcnt of strategy life0.99%
- Instruments
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Percent Trades Stocksn/a
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Short Options - Percent Covered100.00%
- Return Statistics
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Return Pcnt Since TOS Statusn/a
- Instruments
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Percent Trades Forexn/a
- Return Statistics
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Ann Return (Compnd, No Fees)-6.9%
- Risk of Ruin (Monte-Carlo)
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Chance of 10% account loss100.00%
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Chance of 20% account loss100.00%
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Chance of 30% account loss100.00%
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Chance of 40% account loss16.00%
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Chance of 60% account loss (Monte Carlo)n/a
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Chance of 70% account loss (Monte Carlo)n/a
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Chance of 80% account loss (Monte Carlo)n/a
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Chance of 90% account loss (Monte Carlo)n/a
- Automation
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Percentage Signals Automated4.17%
- Risk of Ruin (Monte-Carlo)
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Chance of 50% account loss0.50%
- Popularity
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Popularity (Today)697
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Popularity (Last 6 weeks)825
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Popularity (7 days, Percentile 1000 scale)441
- Trading Style
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Any stock shorts? 0/10
- Trades-Own-System Certification
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Trades Own System?-
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TOS percentn/a
- Win / Loss
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Avg Win$1,508
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Avg Loss$4,272
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Sum Trade PL (losers)$46,995.000
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# Winners10
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Num Months Winners1
- Age
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Num Months filled monthly returns table66
- Win / Loss
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Sum Trade PL (winners)$15,084.000
- Dividends
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Dividends Received in Model Acct0
- Win / Loss
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# Losers11
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% Winners47.6%
- Frequency
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Avg Position Time (mins)27311.10
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Avg Position Time (hrs)455.19
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Avg Trade Length19.0 days
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Last Trade Ago1875
- Regression
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Alpha-0.02
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Beta-0.04
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Treynor Index0.62
- Maximum Adverse Excursion (MAE)
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MAE:Equity, average, all trades0.05
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MAE:Equity, losing trades only, 95th Percentile Value for this strat-
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MAE:Equity, win trades only, 95th Percentile Value for this strat-
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MAE:PL - Winning Trades - this strat Percentile of All Strats47.70
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MAE:PL (avg, winning trades)-
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MAE:PL - worst single value for strategy-
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MAE:PL (avg, losing trades)-
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MAE:PL (avg, all trades)-0.85
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Avg(MAE) / Avg(PL) - All trades-2.390
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MAE:PL - Losing Trades - this strat Percentile of All Strats68.13
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MAE:Equity, 95th Percentile Value for this strat0.21
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MAE:Equity, average, winning trades0.02
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MAE:Equity, average, losing trades0.07
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Avg(MAE) / Avg(PL) - Winning trades1.388
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Avg(MAE) / Avg(PL) - Losing trades-1.280
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Hold-and-Hope Ratio-0.418
- Analysis based on DAILY values, full history
- RATIO STATISTICS
- Ratio statistics of excess return rates
- Statistics related to linear regression on benchmark
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a (intercept, estimate of alpha)-0.39800
- Analysis based on DAILY values, last 6 months only
- Ratio statistics of excess log return rates
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VAR (95 Confidence Intrvl)0.02400
- DRAW DOWN STATISTICS
- Risk estimates based on draw downs (based on Extreme Value T
- assuming Pareto losses only (using partial moments from Sortino statistics)
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Strat Max DD how much worse than SP500 max DD during strat life?-31
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Max Equity Drawdown (num days)58
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Last 4 Months - Pcnt Negativen/a
Strategy Description
We believe there is a distinct edge in classifying market conditions and employing different strategies to those market conditions vs a one size fits all strategy. The Pollinate strategy looks for markets that have ran a bit too far and have a higher probability to revert to the mean, or bewilder market commentators and continue to extend the trend.
It is to be expected that 1/2 of our trades will stop out with a loss, however our winning trades will capture larger moves, which is where our bigger edge lies. We do not "cherry pick" only the best trades, as it is proven time and again the market that looks the worst will put in an amazing run, and the markets that look the best often flicker out just as amazingly. Rather we take all trades that fit the parameters, cut our losers short, and let our winners run.
Another big edge we have not managing money or working for a big firm is we don't need to be in the market, we can be in all cash and outperform.
Using the Collective2 model of subscription (vs charging a % of assets under management performance) we are incentivized to trade well (as we trade our own capital) and make additional returns with subscriptions which will maintain or improve over time as our system continues to perform to the model.
Latest Activity
Most values on this page (including the Strategy Equity Chart, above) have been adjusted by estimated trading commissions and subscription costs.
Some advanced users find it useful to see "raw" Model Account values. These numbers do not include any commissions, fees, subscription costs, or dividend actions.
Strategy developers can "archive" strategies at any time. This means the strategy Model Account is reset to its initial level and the trade list cleared. However, all archived track records are permanently preserved for evaluation by potential subscribers.
About the results you see on this Web site
Past results are not necessarily indicative of future results.
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical 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 profits or losses similar to these being shown.
In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to 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 hypothetical performance results and all of which can adversely affect actual trading results.
Material assumptions and methods used when calculating results
The following are material assumptions used when calculating any hypothetical monthly results that appear on our web site.
- Profits are reinvested. We assume profits (when there are profits) are reinvested in the trading strategy.
- Starting investment size. For any trading strategy on our site, hypothetical results are based on the assumption that you invested the starting amount shown on the strategy's performance chart. In some cases, nominal dollar amounts on the equity chart have been re-scaled downward to make current go-forward trading sizes more manageable. In these cases, it may not have been possible to trade the strategy historically at the equity levels shown on the chart, and a higher minimum capital was required in the past.
- All fees are included. When calculating cumulative returns, we try to estimate and include all the fees a typical trader incurs when AutoTrading using AutoTrade technology. This includes the subscription cost of the strategy, plus any per-trade AutoTrade fees, plus estimated broker commissions if any.
- "Max Drawdown" Calculation Method. We calculate the Max Drawdown statistic as follows. Our computer software looks at the equity chart of the system in question and finds the largest percentage amount that the equity chart ever declines from a local "peak" to a subsequent point in time (thus this is formally called "Maximum Peak to Valley Drawdown.") While this is useful information when evaluating trading systems, you should keep in mind that past performance does not guarantee future results. Therefore, future drawdowns may be larger than the historical maximum drawdowns you see here.
Trading is risky
There is a substantial risk of loss in futures and forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don't trade with money you cannot afford to lose.
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Suggested Minimum Capital
This is our estimate of the minimum amount of capital to follow a strategy, assuming you use the smallest reasonable AutoTrade Scaling % for the strategy.