jump to navigation

AMIBROKER: THE TRUTH ABOUT VOLATILITY June 1, 2008

Posted by ilmusaham in Trading System, Useful Tools.
Tags: , , ,
add a comment

In “The Truth About Volatility,” Jim Berg presents how to use several well-known volatility measures such as average true range (ATR) to calculate entry, trailing stop, and profit-taking levels. Implementing techniques presented in the article is very simple using the AmiBroker Formula Language (Afl), and takes just a few lines of code.

Listing 1 shows the formula that the plots color-coded price chart, trailing stop, and profit-taking lines, as well as a colored ribbon showing volatility-based entry and exit signals. The relative strength index (RSI) used by Berg is a built-in indicator in AmiBroker, so no additional code is necessary. See Figure 3 for an example.

AMIBROKER, VOLATILITY SYSTEM

FIGURE: AMIBROKER, VOLATILITY SYSTEM. Here is a sample AmiBroker chart demonstrating the techniques from Jim Berg’s article in this issue.

LISTING 1
EntrySignal = C > ( LLV( L, 20 ) + 2 * ATR( 10 ) );
ExitSignal = C < ( HHV( H, 20 ) – 2 * ATR( 10 ) );
Color = IIf( EntrySignal, colorBlue, IIf( ExitSignal, colorOrange, colorGrey50 ));
TrailStop = HHV( C – 2 * ATR(10), 15 );
ProfitTaker = EMA( H, 13 ) + 2 * ATR(10);
/* plot price chart and stops */
Plot( TrailStop, “Trailing stop”, colorBrown, styleThick | styleLine );
Plot( ProfitTaker, “Profit taker”, colorLime, styleThick );
Plot( C, “Price”, Color, styleBar | styleThick );

/* plot color ribbon */
Plot( 1, “”, Color, styleArea | styleOwnScale | styleNoLabel, -0.1, 50 );

–Tomasz Janeczko, AmiBroker.com
www.amibroker.com

Intraday Trading using Pivot Points May 9, 2008

Posted by ilmusaham in My Corner, Trading Resources, Trading System.
Tags: , ,
1 comment so far

Jika anda ingin investasi saham baik saham long/medium term yang anda trading-kan (beli, harga naik kemudian jual, kemudian koreksi dan buyback, dst..)…, anda keluar masuk di saham yang sama.

atau anda ingin menjadi short term trader? dengan saham berbeda-beda, lompat sana – lompat sini, seperti kutu loncat.

Motivasi apa yang melatarbelakngi short term trading?

Pivot points are especially useful to shortterm traders who are looking to take advantage of small price movements.

Sebagai gambaran: Harga saham x =3000, saham tersebut harganya bolak-balik 3000-3100, balik ke 3000 – naik lagi ke 3100, turun lagi ke 3000, balik lagi ke 3100 dan close di 3100.

  • Bagi swinger yang swing entri dan exit bisa profit 100+100+100=rp.300. Bagi swinger saham x seolah-olah sudah naik dari 3000 ke 3300 (=3000+300) , gain= 10%.
  • Bagi pemain Buy and hold tanpa swing: profit = rp.100, kenaikan harga saham “x” 3000 ke 3100, gain=3.3%.

Short term trading tersebut bagaimana strateginya? Saham apa yang bisa di buy/sell dan di harga berapa buy/sell nya?

Strategi yang bisa di ambil:

  1. Calculate pivot point and support/resistance levels.
  2. Determine the direction of the daily and weekly trend.
  3. Set profit objectives and stops.
  4. Wait 20 to 30 minutes after the market opens for prices to stabilize.
  5. Enter long positions if the trend is up and price is turning in an upward direction from the pivot.
  6. Enter short positions if the trend is down and price is turning in a downward direction from the pivot

Selengkapnya silakan anda implementasikan tutorial berikut, tutorial short term trading system klasik yang simple namun powerful, sehingga anda lebih safe dan tentu saja profit.

Pivot Points by Jayanthi Gopalakrishnan

Untuk memudahkan kalkulasi Pivot Points, jika anda pengguna amibroker silakan menggunakan SUPER PIVOT POINTS.afl sebagai alat bantu penentuan titik-titik pivot, support dan resistannya, afl dapat di download di: http://www.amibroker.com/library/formula.php?id=758

Selamat mencoba,

Budi Wiyono

budiw.co.cc

GUPPY MULTIPLE MOVING AVERAGE ™ April 10, 2008

Posted by ilmusaham in Trading Resources, Useful Tools.
Tags: , , , ,
add a comment

This indicator was developed by Daryl Guppy. It is fully explained in TREND TRADING. Captures the inferred behaviour of traders and investors by using two groups of averages. Uses fractal repetition to identify points of agreement and disagreement which precede significant trend changes.

APPLICATION

Applied to understand the nature and character of the trend. Used to assess the degree and extent of trading activity. Excessive trading activity can destabilise strong trends. Trend analysis enables more effective selection of appropriate trading strategies such as breakout, trend continuation etc. Can be applied to long side and short side trading. Can be applied to intraday trading. Also used for longer term investment style analysis.

TACTICS

  • Join established trends at points of price weakness

  • Join established trends breaking to new highs

  • Trade breakouts using rally dips and rebounds

  • Trade downtrend rallies as rallies rather than trend breaks

  • Recognise trend breaks as they develop

RULES

  • Degree and nature of separation in the long term group define trend strength and weakness

  • Degree and nature of separation in the short term group define the nature of trading activity.

  • Degree and nature of separation between the two groups of moving averages define the character of the trend.

  • Compression shows agreement on price and value.

  • Compression of both groups at the same time indicate major re-evaluation of stock and potential for a trend change

  • Trade in the direction of the long term group of averages

  • The relationships between the groups provide the necessary information about the nature and character of the trend.

  • Do not use as a moving average crossover tool

ADVANTAGES

  • Enables effective analysis of the trend environment

  • Improves selection of the appropriate trading tactics

  • Better understanding of trend strength

  • Effective evaluation of unusual price movements, such as dips and spikes

  • Effective understanding of trading activity and behaviour

DISADVANTAGES

  • Not effectively applied to trend less stocks

  • Cannot be applied to all trending stocks

  • Do not use as a moving average crossover signal

See how some FX traders are using the GMMA

Source: http://www.guppytraders.com