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Lesson 5: Stop-Loss Strategy | A must needed for tradersHello Traders, I am back with yet another helpful lesson for y'all. This one is a must needed for any trader, and it is extremely important to get this right. A lot of people face a situation when they buy a coin at a higher price, and it just starts going down, and you just hold it in the hopes that it will go up soon. But instead, it just keeps going down more and more. Believe it or not there are many people out there who are still holding that coin because of just one mistake. They did not had a stop-loss order opened after they bought a coin. If they had a stop-loss order opened up, they would have been out at a minimal loss rather than waiting few months for the coin to come back up. If they had set up a stop-loss order, they could've bought the coin at its lowest, and then earned all those profits in lesser time. Don't you worry. I will go over this in a simple way so you can understand this topic really well. Keep in mind this is extremely important to cut your losses especially when we are not sure about the direction that BTC is heading in. Below are the topics we will go over today: What is a Stop-Loss Order? Strategize your Stop-Loss order price Advantages of Stop-Loss Disadvantages of Stop-Loss Note: For the above topic, please refer to the BTC chart above. Lets go over the topics now. What is a Stop-Loss order? A Stop-Loss order is an order set by a trader which will sell the coin if its price reaches below a set price (Stop Price) in this case. Basically if we buy a coin at $10, and you set a stop price at $8. Now, if the coin goes below $8, and if you have a Stop-Loss order up, it will open a Limit Order at the limit price you gave once the price reaches below your set Stop-Loss price. In simple terms, lets look at an example below: i0.wp.com Coin Buy price: 23000 Coin Stop: 20000 Coin Limit: 19000 Refer to the link above to see a image of how stop-loss looks like on Binance. Now lets say you buy a coin at 23000, and after you buy it, you set a stop-limit sell order with a Stop price of 20000, and sell (limit) price of 19000. So now once your coin goes below 20000, the system will automatically open a sell order at your set limit price which in this case is 19000. The benefit of this is that it cuts your losses if the coin keeps going down from that level. I know what you might be thinking right now. What if the coin doesn't keep going down from that level. This would go against you then. You are correct, but it is extremely important at what price you set your stop loss order at. We will discuss that strategy in the next topic below. I hope it is clear to you so far. That was just the intro on what Stop-Loss actually is. Now we can look at what sort of strategy we can use around it. Continue reading below....
COINBASE:BTCUSDEducation
by MoneyChartz
3
DGD in AccumulationJust took a position in BINANCE:DGDBTC . It has settled on some strong support and looks like its in accumulation. I have my stop loss set for .0276 for a %5 risk of loss and looking for a target at .0437 for a %50 gain. As the price moves up I am going to move my stop-loss up. Digix just launced their DGX marketplace, with gold backed DGX tokens. DGX is different than DGD. DGD is the fuel for exchanging DGX and proof of stake in the DAO. If you want a stable coin to store wealth in, consider converting ETH to DGX on the Digix marketplace.
DLong
by OakAndClay
15
My Limit buy triggered right before the recent upswing.Was able to ride the upward bounce off of the fib after it wicked below jsut enough to trigger my limit buy...I don't anticipate the bears are done yet though...especially since the upcoming 1day chart death cross is still seeming like an inevitability in the coming days. Now that I ahd a successful limit buy triggered I qwill likely put another top loss a few pips below where I originally limit bought back in ensuring that I only sshort again if it goes noticeably and reasonably lower than where wI just bought back in but not too much lower just enough to where a long wick wont cause me to miss the trend reversal. You all do as you see fit as this is not financial advice but as you can see on my chart my limit buy triggered precisely...however this bounce needs a ton of bull momentum to see any real sustainability. If not, and the death cross on the 1 day occurs we could plummet all the way as far down as the ascending grey trendline which I still am confident would provide serious support...however for now I think the biggest downside could be the grey trendline most likely somewhere around the $7200 region my new stop loss will probably be triggered $153 under where I triggered my limit buy. Do as you choose as this is not financial advice! Thanks for reading.
BITFINEX:BTCUSDShort
by DrDovetail
XPloRR S&P500 Stock Market Crash Detection StrategyXPloRR S&P500 Stock Market Crash Detection Strategy Long-Term Trailing-Stop strategy detecting S&P500 Stock Market Crashes/Corrections and showing Volatility as warning signal for upcoming crashes Detecting or avoiding stock market crashes seems to be the 'Holy Grail' of strategies. Since none of the strategies that I tested can beat the long term Buy&Hold strategy, the purpose was to detect a stock market crash on the S&P500 and step out in time to minimize losses and beat the Buy&Hold strategy. So beat Buy&Hold strategy with less then 10 trades. 100% capitalize sold trade into new trade. With the default parameters the strategy generates 5954% profit, with 6 closed trades, 100% profitable, while the Buy&Hold strategy only generates 2427% profit, so this strategy beats the Buy&Hold strategy by 2.45 times! Also the strategy detects all major S&P500 stock market crashes and corrections since 1980 depending on the Trailing Stop Smoothness parameter, and steps out in time to cut losses and steps in again after the bottom has been reached. The 5 crashes/corrections of 1987, 1990, 2001, 2008 and 2010 were successfully detected with the default parameters. The script shows a lot of graphical information: the close value is shown in light-green. When the close value is temporarily lower than the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value is lower than the buy value, the last color of the trade will be red (best viewed when zoomed) the EMA and SMA values for both buy and sell signals are shown as colored curves the buy and sell(close) signals are labeled in blue the Volatility is show below in green and red. The alert treshold (red) is default set to 200 (see Volatility Warning Treshold parameter below) Trailing Stop Smoothness value: Adjust the Trailing Stop Smoothness parameter to hide/show smaller corrections/crashes: 96: 6 trades, 100% profit, 5954% profit, detected crashes: 1987, 1990, 2001, 2008, 2010 90: 8 trades, 100% profit, 5347% profit, detected crashes: 1984, 1987, 1990, 2001, 2008, 2010, 2011 74: 9 trades, 100% profit, 4964% profit, detected crashes: 1984, 1987, 1990, 2001, 2008, 2010, 2011, 2015 41: 10 trades, 100% profit, 4886% profit, detected crashes: 1984, 1987, 1990, 1998, 2001, 2008, 2010, 2011, 2015 How to use this Strategy ? Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters), then keep using these parameters for future buy/sell signals on the S&P500. More trades don't necessarily generate more overall profit. It is important to detect only the major crashes and avoid closing trades on the smaller corrections. Bearing the smaller corrections generates a higher profit. Watch out for the volatility alerts generated at the bottom (red). Threshold can by changed by the Volatility Warning Threshold parameter (default 200 = 2% ATR). In almost all crashes/corrections there is an alert ahead of the crash. Although the signal doesn't predict the exact timing of the crash/correction, it is a clear warning signal that bearish times are ahead! The current correction in march 2018 is not yet a major crash but there was already a red volatility warning alert. If the volatility alert repeats the next weeks/months, chances are higher that a bigger crash or correction is near. As can be seen in the graphic, the deeper the crash is, the higher and wider the red volatility signal goes. So keep an eye on the red flag! To use this strategy for future trades, set the end date past today and set the Sell On End Date value to false Information about the parameters: see below
SP:SPX
by XPl0RR
3
BTC :- 4Hr Chart Analysis Hi Guys Bitcoin is now in a major testing zone.We saw a perfect pin bar pattern on the lower time frame charts and have since moved up but have given up those gains soon too. At the moment a RSI Positive Divergence is taking place and that involves the RSI Falling while Price are not below its previous lows. Keep in mind such a divergence is of benefit only if BTC picks up substantially from here on. I have still not turned bearish as we entering support zone territory from 8024-8450 as BTC could turn swifty from here on and confirm the "Higher Low" Formation that we have been speaking about.
by Akshath1994
3
Bitcoin - 15 Mins Quick Analysis BTC is now taking support at the target price of the falling wedge - That is a MAJORLY bullish sign and we should see a higher high in place once we break out the short term trading range. A flag is now in creation within the short term trading range and the target for which opens up the door to 9285. Upon Breakout/Breakdown from the Trading range you can trade for a quick 150 point gain. Short Term Trading Range Breakout Target :- 9148 Short Term Trading Range Breakdown Target :- 8648 *Flag Breakout Target* :- 9285 I am a 70 - 30 to the bulls at the moment. I see 9285 coming sooner than 8648.
Long
by Akshath1994
BTC :- 4HR Higher High - Higher Low FormationBitcoin has taken support at its previous area of demand zone :- 8300. Prices are within a bigger Flag Breakdown Downtrend but have begun forming a Higher High and Possible Higher Low Formation. Target for the Next Leg of up move will be confirmed once we break the higher high and then its a throttle all the way to the Higher High Target of 9985. 9985 coincidentally is not the target for the next leg up but also the line of Daily Resistance. Such matching of targets usually work in tandem.
Long
by Akshath1994
XPloRR MA-Trailing-Stop Strategy Bitcoin(BTCUSD) beats Buy&HoldLong term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy (link see below). Purpose: beat Buy&Hold strategy with around 10 trades over a period of 10 years (average of 1 trade/year). 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The script shows a lot of graphical information: One green area represents one trade The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value at the end of the trade is lower then the buy value, the last color of the trade will be red (best viewed when zoomed) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example for Bitcoin(BITFINEX:BTCUSD) (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): Fast EMA Buy=2 Slow SMA Buy=18 Minimum Buy Strength=36 Fast EMA Sell=8 Slow SMA Sell=22 Minimum Sell Strength=52 Trailing Stop (#ATR)=3 Result: 3.47 times better than Buy&Hold strategy NetProfit: 20770% #Trades: 25 %Profitable: 60% Buy&HoldProfit: 5977%
BITFINEX:BTCUSD
by XPl0RR
5
XPloRR MA-Trailing-Stop Strategy on KBC(KBC) beats Buy&HoldLong term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy (link see below). Purpose: beat Buy&Hold strategy with around 10 trades over a period of 10 years (average of 1 trade/year). 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The script shows a lot of graphical information: One green area represents one trade The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value at the end of the trade is lower then the buy value, the last color of the trade will be red (best viewed when zoomed) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example for KBC(KBC) (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): Fast EMA Buy=12 Slow SMA Buy=55 Minimum Buy Strength=56 Fast EMA Sell=12 Slow SMA Sell=55 Minimum Sell Strength=95 Trailing Stop (#ATR)=3 Result: 22.7 times better than Buy&Hold strategy NetProfit: 590% #Trades: 19 %Profitable: 63% Buy&HoldProfit: 26%
EURONEXT:KBC
by XPl0RR
XPloRR MA-Trailing-Stop Strategy on AB-Inbev(ABI) beats Buy&HoldLong term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy (link see below). Purpose: beat Buy&Hold strategy with around 10 trades over a period of 10 years (average of 1 trade/year). 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The script shows a lot of graphical information: One green area represents one trade The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value at the end of the trade is lower then the buy value, the last color of the trade will be red (best viewed when zoomed) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example for AB-Inbev (ABI) (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): Fast EMA Buy=9 Slow SMA Buy=30 Minimum Buy Strength=40 Fast EMA Sell=16 Slow SMA Sell=63 Minimum Sell Strength=40 Trailing Stop (#ATR)=8 Result: 2.27 times better than Buy&Hold strategy NetProfit: 1002% #Trades: 11 %Profitable: 63% Buy&HoldProfit: 440%
EURONEXT:ABI
by XPl0RR
XPloRR MA-Trailing-Stop Strategy Galapagos(GLPG) beats Buy&HoldLong term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy (link see below). Purpose: beat Buy&Hold strategy with around 10 trades over a period of 10 years (average of 1 trade/year). 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The script shows a lot of graphical information: One green area represents one trade The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value at the end of the trade is lower then the buy value, the last color of the trade will be red (best viewed when zoomed) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example for Galapagos (GLPG) (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): Fast EMA Buy=12 Slow SMA Buy=39 Minimum Buy Strength=40 Fast EMA Sell=12 Slow SMA Sell=45 Minimum Sell Strength=95 Trailing Stop (#ATR)=3 Result: 3.15 times better than Buy&Hold strategy NetProfit: 2370% #Trades: 21 %Profitable: 71% Buy&HoldProfit: 752%
EURONEXT:GLPG
by XPl0RR
XPloRR MA-Trailing-Stop Strategy on Apple(AAPL) beats Buy&HoldLong term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy (link see below). Purpose: beat Buy&Hold strategy with around 10 trades over a period of 10 years (average of 1 trade/year). 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The script shows a lot of graphical information: One green area represents one trade The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value at the end of the trade is lower then the buy value, the last color of the trade will be red (best viewed when zoomed) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example for Apple (AAPL) (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): Fast EMA Buy=12 Slow SMA Buy=45 Minimum Buy Strength=40 Fast EMA Sell=19 Slow SMA Sell=45 Minimum Sell Strength=106 Trailing Stop (#ATR)=8 Result: 2.3 times better than Buy&Hold strategy NetProfit: 6900% #Trades: 7 %Profitable: 71% Buy&HoldProfit: 2938%
NASDAQ:AAPL
by XPl0RR
1
XPloRR MA-Trailing-Stop Strategy on Barco(BAR) beats Buy&HoldLong term MA-Trailing-Stop strategy with Adjustable Signal Strength to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy (link see below). Purpose: beat Buy&Hold strategy with around 10 trades over a period of 10 years (average of 1 trade/year). 100% capitalize sold trade into new trade. My buy strategy is triggered by the fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. The trailing stop value (green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between the high and low values. The script shows a lot of graphical information: One green area represents one trade The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value at the end of the trade is lower then the buy value, the last color of the trade will be red (best viewed when zoomed) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example for Barco (BAR) (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): Fast EMA Buy=16 Slow SMA Buy=80 Minimum Buy Strength=44 Fast EMA Sell=12 Slow SMA Sell=45 Minimum Sell Strength=82 Trailing Stop (#ATR)=9 Result: 7 times better than Buy&Hold strategy NetProfit: 386% #Trades: 7 %Profitable: 71% Buy&HoldProfit: 55%
EURONEXT:BAR
by XPl0RR
What is the job of a trend-following trader?The chart is not going to tell anyone whether to go long or short. I cut deeper than that. This post is about what I see as the job of a trader, who wants to be consistently profitable over a long time using trend following strategies. The following therefore excludes systems that tend to have fixed targets, such as harmonic trading and exploiting levels of support and resistance. Trend-followers usually do not have fixed targets as they do not know how far a trend would go before changing. My job as a trend-following trader is to do the following: Estimate probability of direction of future price movement based on a sound system of analysis. Engage losses but make them controlled and reasonable within a sound methodology. Exploit probability of price movement in a favoured direction by trailing the trend. Have realistic expectations of gain in any single trade relative to the Average True Range (or other suitably reliable measure of volatility). For trading situations where the Average True Range is high, stop-losses need to be acceptable and broad. Sometimes 2 x Average True Range is used as a rule of thumb. However, human judgement has to prevail. On occasions some instruments have a pattern of spiking deeply down or up, and recovering. For those a stop-loss of 3 x Average True Range may be better to avoid being stopped out. If 3 x Average True Range or even 2 x Average True Range is unacceptable as a loss I do not enter the trade. Too often new traders are spiked out and left behind. Average True Range varies by time frame and naturally so does visual appreciation of volatility. Make volatility your friend - and treat her with respect. Develop ' nerves of steel '.
Education
by Captain_Walker
CPHI Win or Fail? (Fib with RSI and Ghost bars)Lets see what next week will bring! After a recent check, the 14-day RSIfor China Pharma Holdings (CPHI) is currently at 65.41, the 7-day stands at 78.81, and the 3-day is sitting at 94.30.Many professionals agree that realizing a loss is just as important as picking a winner, so I've also included a potential loss area to point out my opinion of when to abort mission. Price Target is anywhere form 0.60 to 0.72 by mid week. The stock has returned 21.95% weekly, which was maintained at 9.59% in the 1-month period. I'm looking forward to the upside of that return!
AMEX:CPHIShort
by SoWaVvY