Forex SWING TraderThis strategy is mainly designed for swing trading applied to FOREX.
In this case we make use of 2 moving averages but with different time frame, lets say 1h and 1 day.
When they cross above we would initially have a long trade, but in this strategy we trade it in reverse, so we would actually enter a short position.
The same for short trade.
At the same time we make use of hours for entry, so we can filter even better between the trades, and select the best possible hours for entries.
For exit we have 2 conditions : one is when we receive an opposite signal ( by default ).
The other is when a certain movement between moving averages, like lets say 1% of price movement, we will exit. This can act both as TP and SL.
GBPNZD
GBPNZD ROC RF count strategyCode takes six pairs that are highly correlated to GBPNZD and determines if their ROC's are increasing or decreasing. If a pair has an increasing ROC it is given a 1, if decreasing a -1. The numbers are all added up (this is similar to a count for counting cards in blackjack). If the count goes positive the strategy enters a long position, if negative a short position.
Code is tuned for GBPNZD for 1HR chart. Returns $97 on an initial balance of $100 (if I am reading Tradingview Tester correctly)
*** Should work for GBPJPY, its has the same correlated pairs
Comments welcomed
JPY GBP ROCsRate of change of most volatile JPY and GBP pairs. All pairs ending in JPY are red except GBPJPY (colored yellow --currently most volatile 7/2016). GBPNZD is blue, the other GBP pairs are green, lime and teal. GBPJPY and GBPNZD are my favorite day trading / swing trading pairs. This script allows me to see the action of the most volatile and liquid pairs on one screen. JPY pairs (ex-GBPJPY) are all red so that I see the flow of JPY not so much each pair and its name. Global movement of JPY is what I am after. Same for the coloring of GBP pairs as green expect GBPNZD as blue. ***** EURGBP is plotted as an opposite (with a negative in front of its sma. EURGBP is extremely correlated to GBPNZD, I decided to plot it also.
Pairs Volume FXCM mini accountScript shows the volume of the currency pairs in the FXCM mini account. I set it daily or weekly to see which pair is picking up in activity. My style of currency trading is short holds on the highest volatility. This helps me determine which pairs have the highest volume (or tick activity since there is no true exchange for currency). I use this in conjunction with the other script I wrote, "Pairs Range" which shows which pairs have the highest daily range. This script has a built in 5-sma on each pair. High daily range and high volume is volatility and liquidity. **** This does not include currencies in CHF ****
Currency Pairs High Low RangeIndicator gives the High-Low range of 18 currency pairs. There is a High Ave which is the average of the top four (you may need to adjust which ones are in the average) as well as the bottom four Low Ave. The picture is of a weekly chart with the indicator set at 12 week average of the High-Low range with a .7 (70%) multiplier. When I am looking for week long trades with lots of movement I pick my pairs based on the most actives with a 70% capture of the range as a guide line of when to exit. Sometime when I am not in the mood for volatility I go with the ones in the Low Ave area. Further, when I day trade I set the indicator to a 1Day chart and move the percent to 20% or 30% as a guideline to tell when to get out of a trade.
GBPNZD above/below count This is similar to my earlier GBPNZD pairs slope indicator. This indicator determines if the close of a pair (highly correlated pairs to GBPNZD) is higher or lower than a common displaced moving average. If it is above, a count of 1 * corr*corr factor is assinged. For you programmers I multiply by corr*corr to erase the negative corr factor as the IF THEN statement will assign a 1 or -1. Note: I could not find an absolute value function, so corr^2 clears it. The spirit of this indicator, as with my others, is to sniff out underling movement in GBP or NZD to predict a trend change. The idea of the count comes from counting cards in blackjack. Toy around with chart time frames and the inputs to get a feel for it.
Read comments for changes to the code. I look forward to pros/cons comments.
