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Found 34 results

  1. I'm currently using Ninjatrader for my trading. But I have a problem with the Tick Chart and when I use any Indicator. When e.g. the market is very fast or my internet is slow (for a moment), then the value of the candles and indicator is wrong. So I refresh the chart after every finished candle. Does anybody know a software without this problem?
  2. Hello guys, Anyone has the code of this indicator? I am trying to find the logic behind it. Trend Magic Indicator FREE Kind regards, Mirko
  3. Hi all traders, I'm Larry Pi @ ninZa.co ninZa.co provides traders with essential, affordable, excellent, and elegant NinjaTrader indicators. There are also many FREE AWESOME indicators that you can download at ninZa.co. Please visit my website and pick the indicators you like/need! Link: ninZa.co
  4. Hello to all! Let me introduce one of the indicator I developed for NinjaTrader. It works nice for trading futures market, but I think it will be also great for stocks. I will not give full explain about it. Just what I can show you right now: Red dots on chart - enter short on bar close Green dots on chart - enter long on bar close. The indicator code is very simple, but using some interesting tips. It also can be re-writed for any platform. I wrote this indicator for scalping on 5min charts, but it also works nice with higher TF like 60m on 240m and Daily chart. Oil S&P S&P NASDAQ I want to know your opinion about this enter points and answer one more question: Do you want this indicator in your arsenal? Thanks!
  5. Time Trader is a Server Side VTL Expert Adviser. The EA Opens a trade at the time specified. Markets may be highly volatile at some times during the trading day such as important news release time, London or US session open. Because of the high volatility, opening trades amnually at such times may be less efficient as price move very quickly and by the time the order details are entered into terminal, price may have significantly moved. Speed of execution is critically important in these situations. The time trader EA is a useful tool at such times. Time trader runs on the server and open positions at the specified time without any latency as it is running on the server. Enter the time to open the trade into the parameters of the EA, the time can be specified in Hour, minute, seconds format. Also the user can configure the EA to open a buy position or sell position or both at the same time. The EA applies stop loss and take profit specified by the user. Thus the EA can be used to open market neutral trade at important news release time. For a market neutral trade, open both buy and sell at the same time and apply a small stop loss and large target. One trade stops out, but the other trades make sufficient profit to end up with a net profit on both trades due to the big moves present at important news release time. In case the trader has got a directional bias, EA can open Buy or Sell position as specified in the parameters of the EA. TimeTrader.zip
  6. Does anyone have or can make a risk to reward indicator for OpenEcry platform. I like the one that is used on tradingview.com but I dont want to pay a monthly fee just to use an indicator. Thanks any help would be apprreciated
  7. This indicator is written by VTL. The indicator is a trend following indicator. This is momentum-type indicator so you know how to buy or sell in the right time. You can use it to catch moving in trend market.May be in range market it is not good to use. The indicator use Stochastic, RSI to generate signal. This indicator uses Stochastic with periods 8,3,3 and RSI 3 cross RSI 13. it use a confirmation trend macd cross zero. If both are crossing together then you will shall view the signal to open position so you just need to open position. You can set sl to arrow of signal in the chart. And you can close position when you look opposite signal. While use the indicator you can look two messages in left of chart. condition still good : it mean market momentum is keeping to right direction. so, you can keep position while you can look this messages. overbought,,dont op but take profit : when market is overbouth or oversold, you can look this messages. it is good time to take profit or start trailling to keep profit. please use it avobe 30min time frame to catch good moving. EnhancedMACD.zip
  8. Hi. I need assistance in coding some indicators for Prorealtime's Proscreener as well as for Tradestation. If you are interested, contact me at farooqm59@yahoo.com so that we can communicate about my specific interest and potential cost. Thanks.
  9. Hi experts, I need a help with an indicator for TradeStation: I am looking for a volume indicator that will plot a point only when the volume is greater than 100.000. When the volume is less than 100.000 nothing will be plotted. For example: A daily volume from a stock is: 150.000, 80.000, 75.000, 60.000, 250.000, 300.000, 120.000, 70.000, 99.999, 220.000 The Indicator should be: • ••• • Who can help me? Has someone a better idea? Thanks for the support, Jacare
  10. Hello, I made a very simple indicator which plots the Number of Days inside the BB. The indicator is working fine when applied on a Chart Analysis but when I try to use it in SCAN it is giving me only 1 and 0 like it is calculating only the last bar. Any idea how can I make it work ? The code is: inputs: Length( 20 ),BBNumDevs( 2 ); variables: UpperBBand(0),LowerBBand(0),NumDays(0); UpperBBand = BollingerBand(Close,Length,BBNumDevs); LowerBBand = BollingerBand(Close,Length,-BBNumDevs); NumDays +=1; If Close > UpperBBand or close < LowerBBand) then NumDays = 0; Plot1(NumDays,"Fuse");
  11. Usually values that are higher than 50 are seen when there is more volume in advancing stocks than declining stocks, and figures less than 50 are seen when there is more volume in declining stocks than advancing stocks. STIX normally has a range of between 40 and 60 but usually oscillates around the 60 value, with figures less than 40 indicating oversold values and figures above 60 indicating overbought positions.
  12. This indicator serves to account for whether bull or bear price movements are being accounted for by a large number of stocks or by a small number of stocks. If the movements are being accounted for by a small number of stocks, it is likely that the movements are transient and that reversals will soon occur.
  13. The McClellan oscillator works in a similar fashion to the MACD indicator. It is used to determine the amount of overbought and oversold conditions in the market, on a short and medium term basis.
  14. First described by Emanuel Derman and Iraj Kani, the indicator has the advantage of being able to recognize volatilities in advance by comparing different derivative valuations.
  15. The commonest application of the Kijun line is in the TK cross signal. A cross of the Tenkan line above the Kijun line is a bullish signal, while a cross of the Tenkan line below the Kijun line is a bearish signal.
  16. Developed by Dave Bostian, this indicator is used to monitor the trading activity of the institutional investors in the financial markets. It is especially important in forex since the order flows of the institutional investors is what moves currency prices.
  17. The acceptable limit that must be breached is 2.2 of total assets traded. Therefore, a Hindenburg omen can be said to occur when the number of assets forming highs and lows on the NYSE is greater than 2.2% of total assets issued. The number of stocks that form 52 week highs or lows has to be abnormally large for a Hindenburg omen to occur.
  18. The index is taken to be bullish if it is positive and rising and if negative and falling, it is taken to be bearish.
  19. Money Management Indicators library for TradeStation. Includes Ave Trade, Equity Momentum, Percent Wins, Trade Dependency, and Win/Loss ratio indicators. MMINDICATORS.ELD
  20. Trend Pattern Prediction System If a discretionary trader expects the market to rise tomorrow, he would probably look for opportunities to be a buyer. Similarly, if he expects the market to drop, he'll probably try to short the market. Oddly enough, trading systems rarely work this way. Generally speaking, trading system don't try to predict the market. They merely try to follow it. In fact, it's usually considered counter-productive to have an expectation for market direction when trading a system. Whether your personal prediction is for an up trend or a down trend, you're usually well-advised to follow your system, regardless of whether it goes long or short. This doesn't mean there's no role for market prediction in the world of trading systems. A common technique is to predict the price change N days forward. If the prediction is for the market to be higher in N days, you would buy today and sell in N days. Likewise, if the prediction calls for the market to be lower in N days, you would sell short and cover in N days. If the prediction indicates the market will not change enough to exceed transaction costs, you would stay out of the market. The prediction itself can be achieved via any one of a number of methods, one of which I'll develop below. While this approach may be profitable, it tends to emphasize the prediction part of the strategy over trading system logic. Most profitable trading systems probably succeed in large part because of the way they combine entry and exit rules to best capture profits while minimizing losses, following the classic dictum "let your profits run, cut your losses short". Moreover, certain entry rules tend to favor specific market conditions, where particular exit rules tend to work best. Simply buying today and selling N days from now because the prediction calls for a higher market in N days neglects to take into account the basic tenets of trading system design. An alternative approach, which I'll develop here, is to predict a specific tradable pattern and, when found, apply a set of trading rules specifically tailored to that pattern. In this way, the prediction logic is combined with trading system logic, giving us the best of both. I'll illustrate the approach using a trend pattern, but other patterns, such as reversal patterns, could be used as well. TRENDPREDICT.ELD trendpredict.txt
  21. Detecting Nonrandomness in the Markets Economists have long debated whether stock market prices change randomly or are at least partially predictable. The random walk hypothesis says that stock market prices change in a random fashion, making prediction impossible. However, more recent research has uncovered a variety of inefficiencies in the markets that disprove the random walk hypothesis. Certainly, any trader who has followed the markets for any length of time, let alone successfully traded them, doesn't need an academic study to tell them the markets are not entirely random. Nonetheless, there's some benefit to being able to demonstrate it mathematically. AutocorrelationInds.ELD auto correlation.txt
  22. I need help converting my existing TradeStation file (.ELD) to MetaTrader (.mq4, or .ex4). this is a very cool indicator but I no longer use TradeStation but only MetaTrader. Any help is appreciated. i also attached a few pictures and the open source code for conversion. Thank You... SUPERADX_FIXED (OPEN CODE).ELD
  23. Exits for All Occasions When most people think about trading systems, they probably think about how the system enters the market. In fact, trading systems are usually described in terms of their entry technique, such as breakout systems, moving average crossover systems, Fibonacci retracement systems, and myriad other methods for entering the market. Even the terms "counter-trend" and "trend-following" refer more to the entry than the exit. Despite the common focus on entry techniques in trading, you may have come across the assertion that exits are more important than entries. In my experience, that's usually true. Why? One possible reason is that most market action is random. A good trading system finds at least some signal in all that noise. But with all the noise in the market, a substantial percentage of entry signals may be wrong. A long-term trend following system, for example, may be right only 40% of the time. Despite the low percentage of winning trades, it can still be highly profitable if it keeps the losing trades smaller than the winners. The way it does that is by cutting the losses short and letting the winners run. In other words, it's profitable because of how it handles the exits. Generally speaking, I think it's fair to say that exits are the principal method of controlling the intrinsic risk/reward characteristics of a trading system. Whether the system looks for a quick profit or holds the trade through the market's ups and downs depends on the exits. Likewise, whether a losing trade is cut off quickly or given more room to move is determined by the exits. Exits are truly the way to implement "cut your losses short and let the winners run." Note that I use the word "intrinsic" when describing the risk/reward characteristics of a trading system to differentiate the rules and logic of a trading system from position sizing. Certainly, position sizing can be used to improve the overall risk/reward ratio of a trading system, but position sizing is an external factor, apart from the rules and logic of the system. The focus of this article is on the rules and logic of trading systems, rather than on position sizing. Exit Types The following list is not exhaustive but it includes some of the most common types of exits you may encounter or consider for your own trading systems: Stop and Reverse. This is basically an "exit-less" exit. Stop and reverse systems reverse from long to short and back to long again. If you're long one contract, for example, you would sell two to close out the long trade and go short. You're never flat the market with this type of exit because each exit is also an entry in the opposite direction. N Bars from Entry. Exit the trade at the market N bars from the bar of entry, where N can be any number greater than zero. For example, you might exit the trade 10 bars from the entry. The duration of the trade will depend on the bar size; e.g., 5 min bars or 60 min bars. Time of Day. Rather than exiting relative to the entry, as with the previous method, you exit at a specific time of day, such as at 10:30 am. As a special case, this exit also includes exiting at the end of the trading session. Money Management Stop. This is a commonly used exit type that uses stop orders to limit the risk of a trade. For a long trade, a sell stop order is placed below the entry price. For a short trade, a buy stop order is placed above the entry price. When the stop is hit, the loss is limited to the size of the stop plus slippage. Common methods on which to base the size of the stop are a fixed dollar amount, a fraction of the average true range, or as a percentage of price. Trailing Stop. This type of exit uses stop orders to lock in a percentage of the open profit after a specified level of open profit -- the floor -- has been reached. For example, after an open profit of $500 has been reached on a long trade, you might place a stop order below the market so that 50% (or $250) of the open profit will be retained if the market reverses. The floor amount is typically computed based on either a fixed dollar amount or a fraction of the average true range. Note that a breakeven stop is a special case of the trailing stop where the percentage of profit to lock in is zero. Profit Target. The profit target uses limit orders to exit when a specified price has been reached, representing a profit for the trade. For a long trade, the limit order is above the market; for a short trade, it's below the market. Like a trailing stop, a profit target can help avoid giving back open profits when the market reverses. However, profit targets also place a limit on the maximum profit that's possible from a trade. Logical conditions/trading logic. In addition to the exit types listed above, just about any logical condition, such as those used for trade entries, can be used to exit a trade. Price Patterns. For example, a series of consecutive lower closes might be used to exit a long trade. Trend Indicators. For example, moving averages, momentum, and MACD could all be used to signal a trade exit. Trend Strength. For example, when the ADX indicator, which measures trend strength, declines below a certain level, a trend-following trade might be exited. Oscillators. Stochastic, %R, RSI, Bollinger bands, and other oscillators measure over-bought and over-sold conditions. A long trend trade might be exited when an oscillator crosses below the over-bought level, indicating the end of an up-trend. On the other hand, if the trade has been entered on weakness, such as a pull-back, a short-term trade might be exited when the oscillator crosses above the over-bought level. Support/resistance. Support and resistance levels can be used either as money management stop prices or as target prices EXITTESTS.ELD exittest.txt
  24. The Ins and Outs of Scaling Out In general, scaling out means exiting part of your position at one price and part at another price. There may be several different exits for the same system. By comparison, scaling in means building a position by entering the market at different prices, also known as pyramiding. For purposes of this discussion, I'll assume that all entries occur at the same price; i.e., scaling out will be examined in the absence of scaling in. Scaling out is often presented as a way to reduce overall position risk. For example, if you enter long with two contracts and the market moves in your favor, you might sell one contract at a fairly tight target, then let the other contract ride. If the market continues in your favor, you would benefit from the contract you still hold. On the other hand, if the market reverses, you at least profited from the first contract. More precisely, here is the basic scale-out approach I'll discuss: Enter with the full position at one price. Set a money management stop for the entire position, and set a relatively tight profit target for one-half the position. If the target is hit, move the stop to breakeven and trail a stop for the remaining half of the position. SCALEOUTSYSTEMS.ELD scaleoutsystems.txt
  25. The Relative Strength Indicator is one of the most commonly used technical indicators in today's forex trading markets. The RSI offers traders an objective way of determining when a bullish or bearish trend has reached its end and it ready to reverse.
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