Fernando Carreiro / Profile
- Information
|
8+ years
experience
|
14
products
|
10
demo versions
|
|
3
jobs
|
0
signals
|
0
subscribers
|
| Specification quality | 5.0 | |
| Result check quality | 5.0 | |
| Availability and communication skills | 5.0 |
This indicator processes historical tick‑data and tracks either the Spread in points (not pips), the Mid prices, the Ask or the Bid quotation prices, and displays the results in a sub‑window as OHLC candles. Charts on MetaTrader only show the bars/candles based on Bid quotes prices (or Last quote prices for certain types of symbols). However, that is not the complete picture as there is also the Ask quote prices to consider and the Spread between them. Every newbie trader has eventually
This indicator tracks historical tick‑data and displays lines on the main chart for the highest Ask or the lowest Bid quotation prices. For those of you who have ever run a visual back-test using the modelling “Every tick based on real ticks” , you may have noticed that the Strategy Tester displays line graphs for the high Ask quote price and the low Bid quote price. Many find it annoying! However, some serious traders consider it highly informative—it helps evaluate the impact of the Spread on
In this introductory article, I address a few of the lessons one can take from the challenge rules that proprietary trading firms implement. This is especially relevant for beginners and those who struggle to find their footing in this world of trading. The subsequent article will address the code implementation.
The standard Heikin Ashi candle representation has an open value that is equivalent to an Exponential Moving Average (EMA) of the Total Price , of which the alpha value of the EMA is fixed at 0.5 (equivalent to an EMA period of 3.0). In this dynamic version, the period can be changed to whatever value one wishes to use, which also allows one to approximate multi-time-frame analysis, or use the low or high value as a sort of trailing stop-loss. The crossing of the real Close price over the Heikin
The standard Heikin Ashi candle representation has an open value that is equivalent to an Exponential Moving Average (EMA) of the Total Price , of which the alpha value of the EMA is fixed at 0.5 (equivalent to an EMA period of 3.0). In this dynamic version, the period can be changed to whatever value one wishes to use, which also allows one to approximate multi-time-frame analysis, or use the low or high value as a sort of trailing stop-loss. The crossing of the real Close price over the Heikin
This indicator is based on the original ZigZag provided as a source code example with MetaTrader installations. I rewrote it with some extra features for displaying the “depth” channel and the respective break-outs. It also allows one to observe prior zig-zag points. Optionally, it can alert the user when break-outs occur. The alerts can be simply on the terminal or also via push notifications on a mobile device, with your own custom text
This indicator is based on the original ZigZag provided as a source code example with MetaTrader installations. I rewrote it with some extra features for displaying the “depth” channel and the respective break-outs. It also allows one to observe prior zig-zag points. Optionally, it can alert the user when break-outs occur. The alerts can be simply on the terminal or also via push notifications on a mobile device, with your own custom text
This indicator was inspired by John Welles Wilder's average true range (ATR) , but with some extra information. Similarly, it calculates the exponential moving average of the true range, but using the standard alpha weight instead of Wilder's . It also calculates the average deviation of the range average, and displays it as an offset. This helps not only identify a change more quickly, but also its impact
This indicator was inspired by John Welles Wilder's average true range (ATR) , but with some extra information. Similarly, it calculates the exponential moving average of the true range, but using the standard alpha weight instead of Wilder's . It also calculates the average deviation of the range average, and displays it as an offset. This helps not only identify a change more quickly, but also its impact






