This is the same indicator as the previous one but with an added average of the highs and lows to smooth them out. If you allow me an opinion, it is an opportunity to contribute to keep prices within acceptable levels of volatility instead of taking them to extremes that are not justifiable by economic fundamentals (whose evolution only the authorities know until the date of publication), forcing intervention. Feel free logically. Thank you all

Good Morning. This is a volatility study based on a simple average, highs and lows. The oscillator in the image can be easily represented by referencing the price and the bands to the simple average, work that I leave as an exercise. As allways, the risk is in follow trends when market ranges or follow mean reversion when market trends. Knowledge is equal opportunities. I have a lot to learn, thank you.

保有ポジションのPips数をチャート内に表示します ()内は金額ですが設定で非表示にできます 合計Pipsが負のときはピンク、正のときは水色になります   Shows the pips of the position in the chart. () is the price, but you can hide it in the settings. When the total pips are negative, they are pink, and when they are positive, they are light blue.

This indicator will allow you to send Telegram alerts when the price of a symbol reaches a pre-defined target price, it is an extension to the standard price alerts feature built into the cTrader trading platform. Download the Indicator Watch a Video Demonstration     Paul Hayes Sales & Marketing Email: contact@clickalgo.com Phone: (44) 203 289 6573 Website: https://clickalgo.com Twitter | Facebook | YouTube | Pinterest | LinkedIn PS: Why not join our instant chat group on Telegram or visit our YouTube Channel

Only 2 USD for this awesome indicator!!! In finance, psychological level is a price level in technical analysis that  significantly affects the price of an underlying security, commodity, currency or a  derivative. Typically, the number is something that is easy to remember, such  as a rounded-off number. When a specific security, commodity, currency or  derivative reaches such a price, financial market participants (traders, market  makers, brokers, investors, etc.) tend to act on their positions (buy, sell or hold)​ OBS.: The demo version works only on EURCHF charts. We accept TransferWise.

  Developed this through a forum request. Currently limited functionality as it was a quick turn around, will only work on the daily timeframe. Takes as input a CSV file with Dates and numbers (two colums with one row of titles), and the delimiter type (here we are displaying EVZ Daily data). Depending on how people find it, we would be happy to expand its capabilities. Future pipeline could include: Functionality for more timeframes Full on EVZ pipeline for those NNFX traders out there.   Just let us know if you find any bugs, and we ccan update the source code :) You can support the team at: fxtradersystems.com/products/donate/ Or submit development requests at: fxtradersystems.com/support/ Equally, you can email: development@fxtradersystems.com

@lookformoneyy just asked for this one on the forum (https://ctrader.com/forum/indicator-support/24945) so we did a quick bit of work. Any development projects people want doing, you can email development@fxtradersystems.com, or get in contact at: fxtradersystems.com/support/

This indicator was made by cysecsbin.01,I just added the clouds for any problem or bug, write on the telegram group Join on t.me/cTraderCommunity   VWAP with Bands Indicator | Algorithmic Forex Trading | cTrader...

 

this is the bugfixed version 3 (reference to DOSC removed) of the No Nonsense Forex Infos on chart for cTrader. Thanks for reporting this little nasty misbehaviour! In the meantime, my   NNFX (manual) Strategy Tester for cTrader is developing, see the screenshots. But I'm struggeling with the implemantion of the $EVZ function to adjust the risk and trading based on the value of the EVZ value.                    

  Comes with source code. An indicator that monitors two input DataSeries for a crossover. Designed to be used as a building block in other indicators and cBots. Inputs: Bullish Series: The bullish dataseries source Bearish Series: The bearish dataseries source Outputs: Signal: Will be 1 if the bullish and bearish series have crossed within the last bar, zero otherwise. SignalEnv: 1 if the bullish series is above the bearish, -1 if the bearish is above the bullish. DaysSinceLastSignal: The number of bars since the last crossover of the series. Can be used (for example) in a moving average crossover: setting 5-day MA as the bullish series, and 10-day MA as the bearish series. When the 5-day crosses the 10-day the “Signal” output gives a value of 1 (0 otherwise), and resets the “Days Since Last Signal” attribute to zero. The SignalEnv is +1 for bullish (ie the 5-day is above the 10-day), and -1 for bearish (5-day is below the 10-day). A simple MA-crossover strategy would be to trade in the direction of the SignalEnv every time Signal is 1.

  Comes with source code. The IndiFilter can be used to remove false signals from price movements, zero-cross indicators, or other dataseries. There are four modes of filtering available: Keep a running total of changes, and once the total reaches a threshold – add it all on / take it off. Keep a running total, and add on / take off once one individual change clears the threshold. As in 1, but the threshold is dynamic, based off the standard deviation of the input series. As in 2, but with a dynamic threshold.   Inputs: Source: Input series for filtering. SD Period: The period used for calculating the standard deviation of the input series SD Type: The moving average type to calculate the standard deviation. SD Method: Yes – Threshold is based on the standard deviation; No – threshold is set by operator, and is static Threshold / SD Value: The threshold value that the IndiFilter will ignore under (depending on mode). If SD Method is no, then the threshold represents raw units of the input series (eg. number of pips). If SD Method is yes, then the threshold is the number of standard deviations the series must exceed. Mode: The type of filtering to be applied (see above).   Outputs: Result: The result of the price filtering.