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Forex Master (EUR/USD)ATTENTION: This is a symmetrical algorithm designed only for trading EUR/USD on the 1h time frame. For other currency pairs and time frames, you need to re-calibrate the RSI-EMAs as well as the profit targets and stop losses. BACKTEST CONDITIONS: Initial equity = $100,000 (no leverage) Order size = 100% of equity Pyramiding = disabled TRADING RULES: Long entry = EMA20(RSI10) cross> 50 Profit limit = 50 pips Stop loss = 50 pips Short entry = EMA30(RSI30) cross< 50 Profit limit = 50 pips Stop loss = 50 pips Long entry = Short exit Short entry = long exit DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
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Stable_Camel tarafından
2
MACD, backtest 2015+ only, cut in half and doubledThis is only a slight modification to the existing "MACD Strategy" strategy plugin! found the default MACD strategy to be lacking, although impressive for its simplicity. I added "year>2014" to the IF buy/sell conditions so it will only backtest from 2015 and beyond ** . I also had a problem with the standard MACD trading late, per se. To that end I modified the inputs for fast/slow/signal to double. Example: my defaults are 10, 21, 10 so I put 20, 42, 20 in. This has the effect of making a 30min interval the same as 1 hour at 10,21,10. So if you want to backtest at 4hr, you would set your time interval to 2hr on the main chart. This is a handy way to make shorter time periods more useful even regardless of strategy/testing, since you can view 15min with alot less noise but a better response. Used on BTCCNY OKcoin, with the chart set at 45 min (so really 90min in the strategy) this gave me a percent profitable of 42% and a profit factor of 1.998 on 189 trades. Personally, I like to set the length/signals to 30,63,30. Meaning you need to triple the time, it allows for much better use of shorter time periods and the backtests are remarkably profitable. (i.e. 15min chart view = 45min on script, 30min= 1.5hr on script) ** If you want more specific time periods you need to try plugging in different bar values: replace "year" with "n" and "2014" with "5500". The bars are based on unix time I believe so you will need to play around with the number for n, with n being the numbers of bars.
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RyanMartin tarafından
5
MACD + SMA 200 Strategy (by ChartArt)Here is a combination of the classic MACD (moving average convergence divergence indicator) with the classic slow moving average SMA with period 200 together as a strategy. This strategy goes long if the MACD histogram and the MACD momentum are both above zero and the fast MACD moving average is above the slow MACD moving average. As additional long filter the recent price has to be above the SMA 200. If the inverse logic is true, the strategy goes short. For the worst case there is a max intraday equity loss of 50% filter. Save another $999 bucks with my free strategy. This strategy works in the backtest on the daily chart of Bitcoin, as well as on the S&P 500 and the Dow Jones Industrial Average daily charts. Current performance as of November 30, 2015 on the SPX500 CFD daily is percent profitable: 68% since the year 1970 with a profit factor of 6.4. Current performance as of November 30, 2015 on the DOWI index daily is percent profitable: 51% since the year 1915 with a profit factor of 10.8. All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually 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 profits or losses similar to those shown.
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ChartArt tarafından
83
Simple RSI-MA Algo Beats DOW By Huge Margin Over Past 100 Years!This simple RSI-MA long/short algorithm beats the Dow by a FREAKING HUGE margin over the past century (excluding dividends and trading costs). The algorithm uses a fast SMA of the RSI as a buy/cover signal and a slow SMA of the RSI as a sell/short signal. Backtest period = 09/17/1916 - 11/02/2015 Dow = 98 --> 17,830 = +18,094% = 5.38% CAGR Algorithm = net profit + open P/L = +43,349% = 6.31% CAGR Notice how the algorithm dodged both the 30s' Great Depression and the 2008 Crisis. Pretty cool huh? :) ALGORITHM'S FORMULA (use weekly chart): Buy/Cover = MA10(RSI10) cross> 50 Sell/Short = MA50(RSI10) cross< 50 STRATEGY TESTER'S SETTINGS: - Initial cash = $10,000 - Pyramiding disabled - Re-investment enabled (order size = 100% of equity ) - Trade re-calculations disabled DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
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Stable_Camel tarafından
5