Cunning crocodile

Structure of the indicator.

              The Cunning crocodile indicator consists of three moving averages (applied to the price  Median price  = (high + low)/2):  1) the usual MA (SMA , EMA, SMMA,  LWMA)  or the mean <X> of the process X and her two generalizations 2) <XF> = <X / <X >> * <X> and 3) <XS> = <X * <X >> / <X> with the same averaging period. All three curves intersect at common points that (such an intersection in which the cunning crocodile, unlike the usual one, "never bites his tongue") indicates a change in the trend in the price movement. Formulas for these generalized averages, one of which <XF> is faster, and the other <XS> is slower than the usual MA, are presented in the last screenshot.

 

Using the Cunning crocodile indicator and its advantages.

              The trade of the Cunning crocodile indicator is similar to that of the trade of the usual Alligator indicator, but it has the following advantages. First, averaging over the algorithm <XF> is less delay than behind the fast SMMA used in the classical Alligator. Secondly, the small slope of the slow <XS> is also faster achieved than the  small slope of the slow SMMA of the normal Alligator. Therefore, the indicator Cunning crocodile more quickly indicates the transition to both trend and flat market conditions than the classic Alligator.

          

          The indicator has all kinds of alerts.

 

 Trade with the Cunning crocodile indicator.

              If after reaching a single point of intersection of all three curves "the mouth of the crocodile" is widely opened and the slow average <XS> acquires a significant slope, then there is a trend. In this case, the position on Buy (Sell) opens when the price is higher (lower) than the fast average <XF> and closes when it is below (above) <XF> (those. in the "mouth" Cunning crocodile).

              If the slow mean <XS> is practically horizontal and  (that occupies a significant section of the history) all three lines intersect repeatedly (3 to 6 times) at single points, then the price consolidation takes place. At the same time, the length of the subsequent trend is usually proportional to the length of the previous consolidation area, in which the market spends most of the time (70% -80%), which provides additional information for assessing the state of the market, i.e. it allows to judge whether the trend reversal starts or the trend ends. A rough estimate is as follows: if the trend lasted for 25% -40% of the time of the previous consolidation, then, most likely, there will be a trend end; if the trend lasted less than 20% of the time of the previous consolidation, then a rollback.      

 

Indicator parameters.

  • Price type  - Values: Close price, Open price, High price, Low price, Median price  ((high + low)/2 – default),  Typical price ((high + low + close)/3),    Weighted  price  ((high + low + 2*close)/4). 
  • The averaging method  Values :  SMA ( default ), EMA, SMMA ,   LWMA .  
  • The averaging period -  Values: Integer. Default is 5.
  • The Signal method -  Type of trading signal alert. Values:  No, Send alert, Print (in expert), Comment (in chart), Sound + Print, Sound + Comment, Sound, Push + Comment, Push,  Mail + Comment, Mail 


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The Identify Trend indicator, using fairly simple but robust filtering methods (based on the moving median – algorithm XM )  and more complex algorithms (XC, XF, XS, four types of non-lagging moving averages   SMAWL, EMAWL,  SSMAWL, LWMAWL ) developed by the author , allows determined (1) the beginning of a true trend movement very precisely and, most importantly, with a small delay, and (2) identifying the flat. Such an indicator can be used for trading scalper strategies as well
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The TrueChannel   indicator shows us the true price movement channels. This indicator resembles Donchian Channel   in its appearance, but is built on the basis of completely different principles and gives (in comparison with Donchian Channel , which is better just to use to assess volatility) more adequate trading signals.              As shown in the article , the price actually moves in channels parallel to the time axis and jumps abruptly from the previous channels to the subsequ
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PDP indicator is used for: defining price probability distributions. This allows for a detailed representation of the channel and its borders and forecast the probability of a price appearing at each segment of its fluctuations; defining the channel change moment. Operation principles and features PDP analyzes a quote history on lower timeframes and calculates a price probability distribution on higher ones. Forecast algorithms allow the indicator to calculate probability distributions and mov
Signal Bands is a sensitive and convenient indicator, which performs deep statistical processing of information. It allows to see on one chart (1) the price trend, (2) the clear price channel and (3) latent signs of trend change. The indicator can be used on charts of any periods, but it is especially useful for scalping due to its high sensitivity to the current market state. The functions of the indicator : First, the Signal Bands indicator draws channels into which all price fluctuations exa
Iterative Moving Average – IMA.   IMA is obtained by correcting the usual   MA.   The correction consists in addition   to MA averaged difference between the time series (X) and its MA, i.e.   IMA(X)=MA(X) + MA ( Х -MA(X)). Correction is done in several iterations (and, exactly, 2 iterations in this indicator) and with a change in the averaging period.               As a result, the time-series points begin to cluster around (on all sides) of the getting   IMA and with a smaller de
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I present an indicator for professionals. ProfitMACD is very similar to classic MACD in appearance and its functions . However, ProfitMACD is based on completely new algorithms (for example, it has only one averaging period) and is more robust, especially on small timeframes, since it filters random price walks. The classic MACD indicator (Moving Average Convergence / Divergence) is a very good indicator following the trend, based on the ratio between two moving averages, namely the EM
The principle of the indicator.               A simple moving average (SMA) with an averaging period (2n + 1) of bars is always obtained lagging by n bars. If SMA or other types of moving averages are the basis for making trading decisions, then their strong delay does not allow   to open positions in time and close positions, which leads to losses.                            The Estimation moving average without lag ( EMAWL ) indicator calculates the non-lagging moving average, which is calcula
The principle of the indicator.               The Strong Trend Flat Signal (STFS) indicator is the intersection of two, developed by the author, non-lagging moving averages with averaging periods 21 and 63.               A simple moving average (SMA) with an averaging period (2n + 1) of bars is always obtained lagging by n bars. If SMA or other types of moving averages are the basis for making trading decisions, then their strong delay does not allow  to open positions in time and close positio
StatPredict
Aleksey Ivanov
Introduction.             The indicator predicts the price in accordance with the prevailing trend  and its own small statistical price fluctuations around this trend. At the same time, in StatPredict , you need to set the time horizon of the forecasted events, which is set by the parameter settings of the “ Length of forecast in bars ” indicator and determined by the characteristic time scale of the current   trend, which is best measured by the ProfitMACD indicator or by the previous price co
Asummetry
Aleksey Ivanov
The principle of the indicator.                             The Asummetry  indicator allows you to predict the beginning of a change in the direction of trends, long before their visual appearance on the price chart.               The author statistically revealed that before changing the direction of the trend, the probability distribution function of the price is made as asymmetric as possible. More precisely, the price movement in any direction always pulls sideways the function of its dist
Indicator is used for: defining price probability distributions. This allows for a detailed representation of the channel and its borders and forecast the probability of a price appearing at each segment of its fluctuations; defining the channel change moment.   Operation principles and features Indicator analyzes a quote history on lower timeframes and calculates a price probability distribution on higher ones. Forecast algorithms allow the indicator to calculate probability distributions and m
The Identify Market State   indicator allows you to set the beginning of a new trends and pullbacks on an existing trend. This indicator can be used both for trading on scalper strategies and for long-term trading strategies.               The indicator is based on the 14 periodic DeMarker   indicator and the 8 periodic simple moving average from this indicator. Statistical studies have shown that the sharp peaks of the DeMarker   indicator curve when they drop below its minimum li
The Signal Envelopes   indicator uses the robust filtering method based on: (1) the moving median Buff0 = <Median> = (Max {x} + Min {x}) / 2 and (2) the averaging algorithm developed by the author Buff1 = <(<Median> ) ^ (- 3)> * (<Median>) ^ 4  based on the moving median. The Signal Envelopes   indicator allows you to most accurately and with the minimum possible delay set the beginning of a new trend.  The Signal Envelopes indicator can be used both for trading according to scalpe
The principle of constructing indicator lines and their meaning .               The Signal Channel   indicator uses a robust filtering method based on two moving medians applicable to the High and Low prices, i.e. the lines <High> and <Low>, where <..> is the sign of linear averaging, which are shifted by certain values ​​in an uptrend and by opposite values ​​in a downtrend, which allows you to get a narrow channel, approximately outlining each bar. Sharp kinks of the lines of such a channel a
Robust Filter
Aleksey Ivanov
5 (1)
The Robust filter   indicator is based on the robust filtering algorithm developed by the author using the multi-period averaged moving median. The algorithm for this averaging is shown in the last screenshot.                The indicator calculates and shows: 1. The direction of the trend; 2. Entry and exit points of positions; 3. StopLoss   lines calculated from current price probability distributions and selected probability of closing an order by StopLoss before the trend revers
This   indicator is intended for professionals assessing fundamental market trends.  This indicator calculates the index of any instrument and analyzes it.              The index of the state currency shows the real purchasing power of this currency, and the dynamics of this index shows the dynamics of the economic state of the corresponding state. An analysis of the indices of both currencies included in a currency pair makes it much more reliable to identify the trend of this cur
The Multicurrency Trend Detector ( MTD ) indicator allows you to immediately and on one chart on a selected time interval (extending from a zero bar to a bar set in the settings by the value horizon) determine the presence, direction and strength of trends in all major currencies, as well as assess the reliability of these trends.               This is achieved by calculating indices (non-relative purchasing power) of eight major currencies, namely: AUD, CAD, CHF, EUR, GBP, JPY, NZ
StatZigZag
Aleksey Ivanov
The StatZigZag  indicator looks like a regular ZigZag , but is built on the basis of completely different algorithms. The StatZigZag  indicator is a broken line built from segments of regression lines of different lengths, the beginning of each of which comes from the end of the previous segment. Each regression segment is built until the variance or spread of price around it begins to exceed a certain critical value, after which the construction of this segment ends and the constr
The Velocity of price change   ( VP ) indicator shows the average rate of price change at those characteristic time intervals where this rate was approximately constant. The robust algorithm used in VP   to smooth out the price from its random jumps, ensures the reliability of the indicator reading, which does not react to simple price volatility and its insignificant movements.             The indicator allows you to track trends and the moments of their reversals , during which t
Casual Channel
Aleksey Ivanov
5 (1)
Toutes les tendances ne peuvent pas rapporter de l'argent. Le fait est qu'il existe deux types de tendances:  1)   les vraies tendance s qui sont causées par des raisons économiques fondamentales qui sont stables et, par conséquent, peuvent fournir un profit fiable pour le commerçant;  2)     fausses sections de tendance , qui ne ressemblent qu'à une tendance et surviennent en raison de chaînes d'événements aléatoires - déplaçant le prix  dans une direction. Ces sections de fausses
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