MACD + Stochastic, Double Strategy (by ChartArt)This strategy combines the classic stochastic strategy to buy when the stochastic is oversold with a classic MACD strategy to buy when the MACD histogram value goes above the zero line. Only difference to the classic stochastic is a default setting of 71 for overbought (classic setting 80) and 29 for oversold (classic setting 20).
Therefore this strategy goes long if the MACD histogram goes above zero and the stochastic indicator detects a oversold condition (value below 29). If the inverse logic is true, the strategy goes short (stochastic overbought condition with a value above 71 and the MACD histogram falling below the zero line value).
Please be aware that this pure double strategy using simply two classic indicators does not have any stop loss or take profit money management logic.
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.
Strategy
[STRATEGY][RS]Roulette Martingale V0a solid strategy all across the majors.
double the profits :p
WARNING: use at your own discretion.
Bollinger + RSI, Double Strategy (by ChartArt) v1.1This strategy uses the RSI indicator together with the Bollinger Bands to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band). This simple strategy only triggers when both the RSI and the Bollinger Band indicators are at the same time in a overbought or oversold condition.
UPDATE
In this updated version 1.1 the strategy was both simplified for the user (less inputs) and made more successful in backtesting by now using a 200 period for the SMA which is the basis for the Bollinger Band. I also reduced the number of color alerts to show fewer, but more relevant trading opportunities.
And just like the first version this strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
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.
P.S. For advanced users if you want access to more functions of this strategy script, then please use version 1.0:
[STRATEGY][RS]ZigZag PA Strategy V4.1EXPERIMENTAL:
WARNING: this strategy repaints after reloading and results are heavily curve fitted, use at your own discretion.
UPDATE: (AleksanderThor) add option for a 2nd target, to use you need to activate pyramiding with a setting of 1 manually (not possible to change programatically) .
Binary Options Strategy Testing ScriptThis is a script for testing binary options trading strategies. To test a strategy, modify the 'go_down' or 'go_up' booleans. These SHOULD NOT access any current values (for example, 'ohlc4' or 'close '), or the backtesting will not be an accurate representation of the forward values.
Modify the fraction_return input to be the return rate of the option on success. This is assumed to be a true 100 or 0 option- i.e. if the choice is not correct, there is a 100% loss.
The strategy in place is merely an example, and as you can see, has a very negative rate of return when implemented as a strategy.
Please comment in your code if you use this in any future posts. Thanks!
[STRATEGY][RS]ZigZag PA Strategy V4EXPERIMENTAL:
WARNING: highly curve fitted results, if you dont know whats going on stay away.
RSI Long TermThis strategy work good with long term ?
but only can check this in 9 month's
i am still working to see if it really works on 10 year data ( actually i still do not know how to do that in this site any idea ?)
and increase the trade number
[STRATEGY][RS]MarxBabu 4 Oscillators V0EXPERIMENTAL:
fixed some mixed signals :p
request for MarxBabu.
[RS]Khizon (DWTI) Strategy V0Request for Khizon01:
corrected a issue with the default stoch rsi settings (14 smoothing when it should be 3), can always change back since the 14 settings were better performing at the current chart.
added option to just open buy trades or sell trades separately and close were previously swing trade occur.
added plot titles.
SP_Relative Strength IndexQuick Update to the Steve Primo RSI.
Nothing fancy, but one indicator to represent all his RSI based setups.
Primarily used on Strategy #1 and #8.
[ZL]Thermostat Strategy v.betaThis strategy can identify the trending market and the choppy market. It tries to catch swings in the choppy market and catch the big move in the trending market.
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.
ANN Strategy v2This is version 2 of my ANN strategy. This version will not repaint, but requires some settings configuration.
The reason why the old version repainted, is because it used the daily OHLC/4 which kept changing, causing lower timeframes ro repaint.
You can now specify which timeframes to use. The bigger timeframe is set in the settings (e.g. 1 day). You set the smaller settings by opening a certain chart (e.g. a 4h chart).
The timeframes are used to calculate the percentual difference, which is fed to the ANN as input
Link to version 1:
GetTrendStrategyA simple strategy is to determine the trend. Do not use it for real-time transactions. Use it as a Reaffirmation trade entry.
