Code to pyramid up to N contracts on a day trade basis.
input: maxSize(5),startTime(1000),endTime(1555);
var: stb(0),sts(0),tpAmt(0),lprft(0),sprft(0);
stb = High + minMove/priceScale;
sts = Low - minMove/priceScale;
print(date," ",time," ",stb," ",sts," ",currentShares);
if (time > startTime and time < endTime ) then
begin
tpAmt = average(range,10);
if(high>high[1]) then lprft = highD(0)+1*tpAmt;
if(low < low[1]) then sprft = lowD(0) -1*tpAmt;
if(currentShares < maxSize and c < average(c,9) and low < low[1] and close < close[1]) then buy("pyrabuy")next bar at sts limit;
if(currentShares < maxSize and c < average(c,9) and high >high[1] and close > close[1]) then sellShort("pyrasell") next bar at stb limit;
end;
//if(currentShares >= maxSize and marketPosition = 1) then sell("longmaxliq") next bar sts stop;
//if(currentShares >= maxSize and marketPosition =-1) then buyToCover("shortmaxliq") next bar stb stop;
if(marketPosition = 1) then sell("longProf") next bar lprft limit;
if(marketPosition =-1) then buytoCover("shortProf") next bar at sprft limit;
setexitonclose;
Final version posted below. A little advanced but if you can follow and make sense of it then you are well along on becoming an EasyLanguage programmer.
inputs: absEntryChanLen(55),entryChanlen(20),exitChanLen(10),
lastTradeLoserFilter(false),accountSize(100000),riskPerTradePer(.01);
vars:lastTradeLoser(true),mp(0),virtmp(0),tradeProfit(0),
virtBuyPrice(0),virtSellPrice(0),
virtLongLiqPrice(0),virtShortLiqPrice(0),
virtLongLoss(0),virtShortLoss(0),
myFillPrice(0),N(0),N$(0),dollarRisk(0),lotSize(0),
stopLoss(0),buyPrice(0),sellPrice(0),
hh20(0),hh55(0),ll20(0),ll55(0),iCnt(0),initPrice(0),stopLossPts(0),debug(false);
mp = marketPosition;
if mp = 0 then
begin
N = AvgTrueRange(20);
N$ = N*BigPointValue;
dollarRisk = AccountSize * riskPerTradePer;
lotSize = IntPortion(DollarRisk/N$);
if lotSize < 1 then lotSize = 1;
StopLoss = 2 * N$ * lotSize;
StopLossPts = 2 * N * lotSize;
hh20 = highest(high,entryChanLen);
hh55 = highest(high,absEntryChanLen);
ll20 = lowest(low,entryChanLen);
ll55 = lowest(low,absEntryChanLen);
end;
If mp <> 1 and mp[1] = 1 then
Begin
tradeProfit = ExitPrice(1) - EntryPrice(1);
lastTradeLoser = true;
If tradeProfit > 0 then lastTradeLoser = false;
if debug then
print(date," Long Trader ",tradeProfit*bigPointValue," ",lastTradeLoser,
" ExitPrice ",ExitPrice(1):6:6," entryPrice ",entryPrice(1):6:6);
end;
If mp <> -1 and mp[1] = -1 then
Begin
tradeProfit = EntryPrice(1) - ExitPrice(1);
lastTradeLoser = true;
If tradeProfit > 0 then lastTradeLoser = false;
if debug then
print(date," **** Short Trader ",tradeProfit*bigPointValue," ",lastTradeLoser,
" mp ",mp," ",mp[1]);
end;
If lastTradeLoserFilter = False then lastTradeLoser = True;
If lastTradeLoser = False then
Begin
if debug then
print(date," In Virtual Section And VirtTmp = ",virTmp);
If(virtmp = 1) then
Begin
virtLongLiqPrice = maxList(lowest(low[1],exitChanLen),virtLongLoss);
if(virtualLongExit(virtLongLiqPrice,1,myFillPrice) =1) then
Begin
tradeProfit = myFillPrice - virtBuyPrice;
If tradeProfit < 0 then lastTradeLoser = true;
virtmp = 0;
if debug then print(" Long Exit @ ",myFillPrice);
end;
end;
If(virtmp = -1) then
Begin
virtShortLiqPrice = minList(highest(high[1],exitChanLen),virtShortLoss);
if(virtualShortExit(highest(high[1],exitChanLen),1,myFillPrice) =1) then
Begin
tradeProfit = virtSellPrice - myFillPrice;
If tradeProfit < 0 then lastTradeLoser = true;
virtmp = 0;
if debug then print(" ShortExit @ ",myFillPrice);
end;
end;
if(virtualBuy(highest(high[1],entryChanLen),1,myFillPrice) = 1) then
Begin
if virtmp <> 1 then
begin
virtBuyPrice = myFillPrice;
virtLongLoss = myFillPrice - 2*N;
virtmp = 1;
tradeProfit = 0;
If virtmp[1] = -1 then tradeProfit = virtSellPrice - virtBuyPrice;
If tradeProfit < 0 then lastTradeLoser = true;
if debug then print(" Long @ ",myFillPrice);
end;
end;
if(virtualSell(lowest(low[1],entryChanLen),1,myFillPrice) = 1) then
Begin
if virtmp <> -1 then
begin
virtsellPrice = myFillPrice;
virtShortLoss = myFillPrice + 2*N;
virtmp = -1;
tradeProfit = 0;
If virtmp[1] = 1 then tradeProfit = virtBuyPrice - virtSellPrice;
If tradeProfit < 0 then lastTradeLoser = true;
if debug then print(" Short @ ",myFillPrice);
end;
end;
if debug then print("End of Virtual Module : virTmp = ",virTmp);
end;
for iCnt = 0 to 3
begin
if lastTradeLoser then
begin
if mp <> -1 and currentContracts = iCnt * lotSize then
begin
buyPrice = hh20 + iCnt * N/2;
end;
if mp <> 1 and currentContracts = iCnt * lotSize then
begin
sellPrice = ll20 - iCnt * N/2;
end;
virTmp = 0;
end;
if lastTradeLoser = false then
begin
if mp <> -1 and currentContracts = iCnt * lotSize then
begin
buyPrice = hh55 + iCnt * N/2;
end;
if mp <> 1 and currentContracts = iCnt * lotSize then
begin
sellPrice = ll55 - iCnt * N/2;
end;
// virTmp = 0;
end;
end;
if lastTradeLoser then
begin
if currentContracts < 4 * lotsize then Buy ("Turtle20Buy") lotSize contracts next bar at buyPrice stop;
if currentContracts < 4 * lotsize then Sellshort ("Turtle20Sell") lotsize contracts next bar at sellPrice stop;
if currentContracts < 4 * lotsize and debug then print(date," 20sellPrice ",sellPrice:6:6," ",currentContracts);
end;
if lastTradeLoser = false then
begin
if currentContracts < 4 * lotsize then Buy ("Turtle55Buy") lotSize contracts next bar at buyPrice stop;
if currentContracts < 4 * lotsize then Sellshort ("Turtle55Sell") lotsize contracts next bar at sellPrice stop;
if debug then print(date," ",iCnt," 55sellPrice ",sellPrice:6:6);
end;
If mp = 1 then Sell ("TurtleLExit") next bar at lowest(low,exitChanLen) stop;
If mp = -1 then BuyToCover("TurtleSExit") next bar at highest(high,exitChanLen) stop;
If mp = 1 then Sell ("TurtleLExit2N") next bar at entryPrice - stopLossPts stop;
If mp = -1 then BuyToCover("TurtleSExit2N") next bar at entryPrice + stopLossPts stop;
Just wanted to bring one of the systems that I developed for the book to everybody’s attention. This is a simple system that puts on two contracts and peels one off after a certain profit and then lets the other one ride. Its a mini-Russell system. Full code is disclosed in the book – source code can be imported into other applications. The object of this code is to demonstrate multiple contracts and money management techniques. Remember –
THERE IS A SUBSTANTIAL RISK OF LOSS IN TRADING. IT IS IN THE NATURE OF COMMODITY TRADING THAT WHERE THERE IS THE OPPORTUNITY FOR PROFIT, THERE IS ALSO THE RISK OF LOSS. COMMODITY TRADING INVOLVES A CERTAIN DEGREE OF RISK, AND MAY NOT BE SUITABLE FOR ALL INVESTORS. PAST PERFORMANCE IS NOT NECESSARILY INDICATIVE OF FUTURE RESULTS.
THE HIGH DEGREE OF LEVERAGE THAT IS FOUND IN FUTURES (BECAUSE OF SMALL MARGIN REQUIREMENTS) CAN WORK AGAINST YOU AS WELL AS FOR YOU. I.E. YOU CAN HAVE LARGE LOSSES AS WELL AS LARGE GAINS.
if currentshares = LTT then begin
buy("B-20A.5") LTT shares next bar highest(h,20)[BB] + (0.5*N) or higher;
buy("B-20A 1") LTT shares next bar highest(h,20)[BB] + (1.0*N) or higher;
buy("B-20A1.5") LTT shares next bar highest(h,20)[BB]+ (1.5*N) or higher;
end;
if currentshares = LTT * 2 then begin
buy("B-20B 1") LTT shares next bar highest(h,20)[BB] + (1.0*N) or higher;
buy("B-20B1.5") LTT shares next bar highest(h,20)[BB] + (1.5*N) or higher;
end;
if currentshares = LTT * 3 then
buy("B-20C1.5") LTT shares next bar highest(h,20)[BB] + (1.5*N) or higher;
end;
Just do this:
for iCnt = 0 to 3
begin
if lastTradeLoser then
begin
if mp <> -1 and currentContracts = iCnt * lotSize then
begin
buyPrice = hh20 + iCnt * N/2;
end;
end;
end;
if lastTradeLoser then
begin
if currentContracts < 4 * lotsize then Buy ("Turtle20Buy") lotSize contracts next bar at buyPrice stop;
end;
Instead of having multiple buy orders at different levels -simply change your buy levels using the for-next loop and issue just one order. Only problem is you can only issue one buy order per bar. Whereas the former approach will place multiple orders for the next bar. Usually this will not cause a problem unless your buy/sell levels are very close. The use of the for-next loop is up to one's own programming style. I like the for-next loop.
for iCnt = 0 to 3
begin
if lastTradeLoser then
begin
if mp <> -1 and currentContracts = iCnt * lotSize then
begin
buyPrice = hh20 + iCnt * N/2;
end;
if mp <> 1 and currentContracts = iCnt * lotSize then
begin
sellPrice = ll20 - iCnt * N/2;
end;
virTmp = 0;
end;
if lastTradeLoser = false then
begin
if mp <> -1 and currentContracts = iCnt * lotSize then
begin
buyPrice = hh55 + iCnt * N/2;
end;
if mp <> 1 and currentContracts = iCnt * lotSize then
begin
sellPrice = ll55 - iCnt * N/2;
end;
virTmp = 0;
end;
end;
MultiCharts is a very powerful program that can be purchased outright and seems to be very compatible with EasyLanguage. Their software requires a third-party data feed or ASCII data.
This just happened recently in the bond market. The LastTradeLoser filter prevented the Turtle 20 bar low entry from occurring. As you can see from the prior trade – it was a winner.
Not Utilizing Last Trade Was Loser FilterUtilizing Last Trade Was Loser filter
The following code uses our new functions to synthetically keep track of our trading to determine when to enter a new trade. The Turtle System only took trades after a losing trade took place. Even with the Virtual Trade functions you still need to keep track of whether the entries/exits generated a profitable trade. It simple enough to track the real trades – compare the entries/exits when a the market position changes.
inputs: absEntryChanLen(55),entryChanlen(20),exitChanLen(10),lastTradeLoserFilter(false);
vars:lastTradeLoser(true),mp(0),virtmp(0),tradeProfit(0),virtBuyPrice(0),virtSellPrice(0),
myFillPrice(0);
mp = marketPosition;
If mp <> 1 and mp[1] = 1 then
Begin
tradeProfit = ExitPrice(1) - EntryPrice(1);
If tradeProfit > 0 then lastTradeLoser = false;
print(date," Long Trader ",tradeProfit);
end;
If mp <> -1 and mp[1] = -1 then
Begin
tradeProfit = EntryPrice(1) - ExitPrice(1);
If tradeProfit > 0 then lastTradeLoser = false;
print(date," Short Trader ",tradeProfit," ",lastTradeLoser);
end;
If lastTradeLoserFilter = False then lastTradeLoser = True;
If lastTradeLoser = False then
Begin
print(date," In Virtual Section And VirtTmp = ",virTmp);
If(virtmp = 1) then
Begin
if(virtualLongExit(lowest(low[1],exitChanLen),1,myFillPrice) =1) then
Begin
tradeProfit = myFillPrice - virtBuyPrice;
If tradeProfit < 0 then lastTradeLoser = true;
virtmp = 0;
end;
end;
If(virtmp = -1) then
Begin
if(virtualShortExit(highest(high[1],exitChanLen),1,myFillPrice) =1) then
Begin
tradeProfit = virtSellPrice - myFillPrice;
If tradeProfit < 0 then lastTradeLoser = true;
virtmp = 0;
end;
end;
if(virtualBuy(highest(high[1],entryChanLen),1,myFillPrice) = 1) then
Begin
if virtmp <> 1 then
begin
virtBuyPrice = myFillPrice;
virtmp = 1;
tradeProfit = 0;
If virtmp[1] = -1 then tradeProfit = virtSellPrice - virtBuyPrice;
If tradeProfit < 0 then lastTradeLoser = true;
end;
end;
if(virtualSell(lowest(low[1],entryChanLen),1,myFillPrice) = 1) then
Begin
if virtmp <> -1 then
begin
virtsellPrice = myFillPrice;
virtmp = -1;
tradeProfit = 0;
If virtmp[1] = 1 then tradeProfit = virtBuyPrice - virtSellPrice;
If tradeProfit < 0 then lastTradeLoser = true;
end;
end;
print("End of Virtual Module : virTmp = ",virTmp);
end;
My next little project is to create an EasyLanguage extender by creating a virtual trading function. The Turtle System always waits until a losing trade prior to taking a new trade. In EasyLanguage this doesn’t exist. This is similar to my Ghost Trader in Building Winning Trading Systems with TradeStation (1st and 2nd edition.)
In order to virtualize theoretical positions you must have the ability to enter/exit long/short positions. To carry this out we will create four functions:
Information will need to be passed back and forth between the call program and the functions. Here is the template of the virtualBuy:
Inputs: price(numericSimple),orderType(numericSimple),fillPrice(numericRef);
{Function to see if a virtual buy order was filled - we are passing the entry price, orderType
[stop,limit,market] and we will reply with with true or false and the fill price.
orderType:
1 - Stop
2 - Limit
3 - Market}
VirtualBuy = 0;
Switch(orderType)
Begin
Case 1:
If high >= price then
Begin
fillPrice = maxList(open,price); {check for gap open}
VirtualBuy = 1;
end;
Case 2:
If low < price then
Begin
fillPrice = minList(open,price); {check for gap open}
VirtualBuy = 1;
end;
Case 3:
Begin
fillPrice = open;
VirtualBuy = 1;
end;
Default:
fillPrice = 999999;
VirtualBuy = 0;
End;
Backtesting with [Trade Station,Python,AmiBroker, Excel]. Intended for informational and educational purposes only!
Get All Five Books in the Easing Into EasyLanguage Series - The Trend Following Edition is now Available!
Announcement – A Trend Following edition has been added to my Easing into EasyLanguage Series! This edition will be the fifth and final installment and will utilize concepts discussed in the Foundation editions. I will pay respect to the legends of Trend Following by replicating the essence of their algorithms. Learn about the most prominent form of algorithmic trading. But get geared up for it by reading the first four editions in the series now. Get your favorite QUANT the books they need!
The Foundation Edition. The first in the series.
This series includes five editions that covers the full spectrum of the EasyLanguage programming language. Fully compliant with TradeStation and mostly compliant with MultiCharts. Start out with the Foundation Edition. It is designed for the new user of EasyLanguage or for those you would like to have a refresher course. There are 13 tutorials ranging from creating Strategies to PaintBars. Learn how to create your own functions or apply stops and profit objectives. Ever wanted to know how to find an inside day that is also a Narrow Range 7 (NR7?) Now you can, and the best part is you get over 4 HOURS OF VIDEO INSTRUCTION – one for each tutorial.
Hi-Res Edition Cover
This book is ideal for those who have completed the Foundation Edition or have some experience with EasyLanguage, especially if you’re ready to take your programming skills to the next level. The Hi-Res Edition is designed for programmers who want to build intraday trading systems, incorporating trade management techniques like profit targets and stop losses. This edition bridges the gap between daily and intraday bar programming, making it easier to handle challenges like tracking the sequence of high and low prices within the trading day. Plus, enjoy 5 hours of video instruction to guide you through each tutorial.
Advanced Topics Cover
The Advanced Topics Edition delves into essential programming concepts within EasyLanguage, offering a focused approach to complex topics. This book covers arrays and fixed-length buffers, including methods for element management, extraction, and sorting. Explore finite state machines using the switch-case construct, text graphic manipulation to retrieve precise X and Y coordinates, and gain insights into seasonality with the Ruggiero/Barna Universal Seasonal and Sheldon Knight Seasonal methods. Additionally, learn to build EasyLanguage projects, integrate fundamental data like Commitment of Traders, and create multi-timeframe indicators for comprehensive analysis.
Get Day Trading Edition Today!
The Day Trading Edition complements the other books in the series, diving into the popular approach of day trading, where overnight risk is avoided (though daytime risk still applies!). Programming on high-resolution data, such as five- or one-minute bars, can be challenging, and this book provides guidance without claiming to be a “Holy Grail.” It’s not for ultra-high-frequency trading but rather for those interested in techniques like volatility-based breakouts, pyramiding, scaling out, and zone-based trading. Ideal for readers of the Foundation and Hi-Res editions or those with EasyLanguage experience, this book offers insights into algorithms that shaped the day trading industry.
Trend Following Cover.
For thirty-one years as the Director of Research at Futures Truth Magazine, I had the privilege of collaborating with renowned experts in technical analysis, including Fitschen, Stuckey, Ruggiero, Fox, and Waite. I gained invaluable insights as I watched their trend-following methods reach impressive peaks, face sharp declines, and ultimately rebound. From late 2014 to early 2020, I witnessed a dramatic downturn across the trend-following industry. Iconic systems like Aberration, CatScan, Andromeda, and Super Turtle—once thriving on robust trends of the 1990s through early 2010s—began to falter long before the pandemic. Since 2020 we have seen the familiar trends return. Get six hours of video instruction with this edition.
Pick up your copies today – e-Book or paperback format – at Amazon.com