Charts

Charts

Charts page displays charts across assets.

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Supported Asset Types

Corporate BONDS
Govt Bonds
Commodity
Common Stock
Currency
Futures
INDEX
Rate

Market Heat Map

Heat-Map

Realtime Chart

Cross Asset Analysis Chart

Interactive Charts

Visit Interactive Charts Interactive Chart

Technical Indicators In the Interactive Chart

Overlay
  • Bollinger Bands are envelopes plotted at a standard deviation level above and below a simple moving average of the price. Because the distance of the bands is based on standard deviation, they adjust to volatility swings in the underlying price.
  • A price channel appears on a chart when a security’s price becomes bounded between two parallel lines. Depending on the direction of the trend, the channel may be termed horizontal, ascending, or descending.
Trendline
  • A linear trendline is a best-fit straight line that is used with simple linear data sets. Your data is linear if the pattern in its data points resembles a line. A linear trendline usually shows that something is increasing or decreasing at a steady rate.
  • A quadratic trendline is a second-order polynomial ( y = a + b t + c t2) which attempts to best fit a set of data.
  • A cubic fit trendline is a thrid-order polynomial ( y = a + b t + c t2 + dt3) which attempts to best fit a set of data.
  • A quartic fit trendline fits a quartic function (a polynomial function with degree 4) to a set of data. Quartic functions have the form ( y = a + b t + ct2 + dt3 + et4)
  • A quintic fit trendline fits a quintic function (a polynomial function with degree 5) to a set of data. Quantic functions have the form ( y = a + b t + ct2 + dt3 + et4 + ft5)
  • A logarithmic fit trendline fits a logarithmic function of the form y=a+bln(x) to data by performing a least-squares fit. Given k data points, where each point is a pair of numerical values for (x, y), the LogarithmicFit command finds a and b such that the sum of the k residuals squared is minimized. The ith residual is the value y−a−bln(x) at the ith data point. Useful for assets that increase or decrease in price rapdily and then has a steady change.
  • An exponential fit trendline fits an exponential function of the form y = Ae(kx). Where A and K are some constants. All asset prices either increase or decrease with time.
  • A powerlaw fit trendline states that a relative change in one quantity results in a proportional relative change in another. A power law distribution has the form Y = k Xα, where X and Y are variables of interest, α is the law’s exponent, k is a constant.
  • The simple average of a set of values is determined by dividing the sum total of all the values by the number of values in the set. Simple Average = (Total of x1 + x2+x3…..+xn)/n, Where x is a values in the set, n is a number of values in the set.
  • The exponential moving average (EMA) is a weighted average of recent period’s prices. It uses an exponentially decreasing weight from each previous price/period. In other words, the formula gives recent prices more weight than past prices. EMA = (2/n+1) * (Current price – Previous price EMA) + Previous price EMA, where (2/n+1) is a weighted factor for EMA, n is the selected time period.
  • The modified moving average is an algebraic technique which makes averages more responsive to price movements. The average includes a sloping factor to help it catch up with the rising or falling value of the security. Slope = ((N-1)/2 * price + ((N-3)/2 * price[1] + ((N-5)/2 * price[2] + … + ((N-(2 * N-1))/2) * price[N-1], MMA = SMA + (6*Slope) / ((N+1) * N), where SMA = Simple Moving Average, N is a calculation time period, price [n] is a the price n periods ago.
  • The cumulative average of an element in a variable is simply the mean of all points in the variable up to and including that element. The cumulative average, Y2, of a variable Y is defined as: Y2(1) = Y(1) , Y2(2) = (Y(1) + Y(2))/2 , Y2(3) = (Y(1) + Y(2) + Y(3))/3, etc;
  • The weighted average is a means of determining the average of a set of values by assigning weightage to each value in relation to their relative importance/significance. Weighted Average= (Total of x1w1+ x2w2+x3w3…..+xnwn)/(Total of w1 +w2+w3….+wn) Where, x is values in the set, w is weightage of each value in the set, n is number of values in the set.

Chart Image

Interactive Chart

Displays data on a static image

  • Displays latest and earliest 5 days of last and settle price.
  • Displays latest and earliest 5 days of change price.
  • Displays latest and earliest 5 days of volume.

Cross Asset Analysis

  • Select multiple assets/different type of assets to perform cross asset analysis

Cross Asset Analysis Chart

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