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
[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.
CamarillaStrategy -V1 - H4 and L4 breakout - exits addedExits added using trailing stops.
2.6 Profit Factor and 76% Profitable on SPY , 5M - I think it's a pretty good number for an automated strategy that uses Pivots. I don't think it's possible to add volume and day open price in relation to pivot levels -- that's what I do manually ..
Still trying to add EMA for exits.. it will increase profitability. You can play in pinescript with trailing stops entries..
How to automate this strategy for free using a chrome extension.Hey everyone,
Recently we developed a chrome extension for automating TradingView strategies using the alerts they provide. Initially we were charging a monthly fee for the extension, but we have now decided to make it FREE for everyone. So to display the power of automating strategies via TradingView, we figured we would also provide a profitable strategy along with the custom alert script and commands for the alerts so you can easily cut and paste to begin trading for profit while you sleep.
Step 1:
You are going to need to download the Chrome Extension called AutoView. You can get the extension for free by following this link: bit.ly ( I had to shorten the link as it contains Google and TV automatically converts it to a symbol)
Step 2: Go to your chrome extension page, and under the new extension you'll see a "settings" button. In the setting you will have to connect and give permission to the exchange 1broker allowing the extension to place your orders automatically when triggered by an alert.
Step 3: Setup the strategy and custom script for the alerts in TradingView. The attached script is the strategy, you can play with the settings yourself to try and get better numbers/performance if you please.
This following script is for the custom alerts:
//@version=2
study("4All-Alert", shorttitle="Alerts")
src = close
len = input(4, minval=1, title="Length")
up = rma(max(change(src), 0), len)
down = rma(-min(change(src), 0), len)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsin = input(5)
sn = 100 - rsin
ln = 0 + rsin
short = crossover(rsi, sn) ? 1 : 0
long = crossunder(rsi, ln) ? 1 : 0
plot(long, "Long", color=green)
plot(short, "Short", color=red)
Now that you have the extension installed, the custom strategy and alert scripts in place, you simply need to create the alerts.
To get the alerts to communicate with the extension properly, there is a specific syntax that you will need to put in the message of the alert. You can find more details about the syntax here : gist.github.com
For this specific strategy, I use the Alerts script, long/short greater than 0.9 on close.
In the message for a long place this as your message:
Long
c=order b=short
c=position b=short l=200 t=market
b=long q=0.01 l=200 t=market tp=13 sl=25
and for the short...
Short
c=order b=long
c=position b=long l=200 t=market
b=short q=0.01 l=200 t=market tp=13 sl=25
If you'll notice in my above messages, compared to the strategy my tp and sl (take profit and stop loss) vary by a few pips. This is to cover the market opens and spread on 1broker. You can change the tp and sl in the strategy to the above and see that the overall profit will not vary much at all.
I hope this all makes sense and it is enough to not only make some people money, but to show the power of coming up with your own strategy and automating it using TradingView alerts and the free Chrome Extension AutoView.
ps. I highly recommend upgrading your TradingView account so you have access to back testing and multiple alerts.
There is really no reason you won't cover the cost and then some on a monthly basis using the tools provided.
Best of luck and happy trading.
Note: The extension currently allows for automation on 2 exchanges; 1broker and Okcoin. If you do not have accounts there, we'd appreciate you signing up using our referral links.
www.okcoin.com
1broker.com
Stochastic + RSI, Double Strategy (by ChartArt)This strategy combines the classic RSI strategy to sell when the RSI increases over 70 (or to buy when it falls below 30), with the classic Stochastic Slow strategy to sell when the Stochastic oscillator exceeds the value of 80 (and to buy when this value is below 20).
This simple strategy only triggers when both the RSI and the Stochastic are together in a overbought or oversold condition. The one hour chart of the S&P 500 worked quite well recently with this double strategy.
By the way this strategy should not be confused with the 'Stochastic RSI', which measures the RSI only.
All trading involves high risk; past performance is not necessarily indicative of future results.
