22 ITM using Ichimoku & PA

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Trading with range bars ichimoku cloud & awesome oscillator

This a first post on a new thread that is an off shoot of big income from a small account-m1 trading system.

I will begin posting my trades here next week.

Just so every one know and understands i have no interest in selling any trading systems, signals or mirror trading

This thread is solely for helping each other with what can be a very frustrating hobby/business trading.

The system template is simple.

Candles, use i/2 min or range bars
indicators: Ichimoku cloud settings 9, 16, 52
awesome oscillator std. Settings

below is image of what my charts look like:

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  • Mar 18, 2020 3:48pm Mar 18, 2020 3:48pm
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  • Mar 18, 2020 3:53pm Mar 18, 2020 3:53pm

Why some people were getting blocked from previous thread I have no clue.

Lets just have some fun exchanging ideas and information on trading.

Lets see if we can find any ways to improve the system and our trading.

Only thing I would ask is no ea’s please, I really don’t like them.

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  • Mar 19, 2020 1:08am Mar 19, 2020 1:08am

what size range bars are preferable please. for Mt4 need to specify in pips eg. 3 . or 2.5 pips. etc

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What is the moving average.

Looks like your question of how to stay in longer for more profit ( golden way ). Can be answered by closing when the candle closes below . or above that Moving average

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  • Mar 19, 2020 5:21am Mar 19, 2020 5:21am

i dont knw if i have the right settings on my chart yet, because mt4 and thinkorswim platform have some differences,
its 5 tick per bar Forexmeoff
no you need to set candles to range bars. there are EAs and INDIs in past foroum u cand find out.

what exactly is this line on your chart rocky ?

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Thanks for starting this thread Rockypoint,

I was also blocked on the last one. It is a rare thing to find someone these days who is willing to share and teach a profitable system without wanting something back.

Hope the steak and beers went down well!

Sure sound like you live the life over there in Mexico!

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  • Mar 19, 2020 1:24pm Mar 19, 2020 1:24pm

Hey GW, the line on my chart is tenkan or more accurately the tenkan sen or turning line it is essentially a moving average the is computed by
using the highest high and lowest low over 9 bars, if you compare it to 9 period SMA you will see the tenkan shows more areas of flattening. The flattening of the tenkan is indicative of price ranging.

As far as staying in trades longer, I don’t normally set up tp orders ahead of time, I use previous s/r or swing highs/lows as targets if it breaks through I’ll stay in and see what happens with next target. Also you can use the tenkan below is an example of use the tenkan flattening during
a trade and using it as s/r areas and waiting for breaks which came time after time.(obviously this does not happen very often) but it does occur
more often on a smaller scale.

2/2 ITM using Ichimoku & PA

Technical Analysis Library in Python

It is a Technical Analysis library to financial time series datasets (open, close, high, low, volume). You can use it to do feature engineering from financial datasets. It is builded on Pandas and Numpy.

The library has implemented 33 indicators:

  • Accumulation/Distribution Index (ADI)
  • On-Balance Volume (OBV)
  • Chaikin Money Flow (CMF)
  • Force Index (FI)
  • Ease of Movement (EoM, EMV)
  • Volume-price Trend (VPT)
  • Negative Volume Index (NVI)
  • Average True Range (ATR)
  • Bollinger Bands (BB)
  • Keltner Channel (KC)
  • Donchian Channel (DC)
  • Moving Average Convergence Divergence (MACD)
  • Average Directional Movement Index (ADX)
  • Vortex Indicator (VI)
  • Trix (TRIX)
  • Mass Index (MI)
  • Commodity Channel Index (CCI)
  • Detrended Price Oscillator (DPO)
  • KST Oscillator (KST)
  • Ichimoku Kinkō Hyō (Ichimoku)
  • Parabolic Stop And Reverse (Parabolic SAR)
  • Money Flow Index (MFI)
  • Relative Strength Index (RSI)
  • True strength index (TSI)
  • Ultimate Oscillator (UO)
  • Stochastic Oscillator (SR)
  • Williams %R (WR)
  • Awesome Oscillator (AO)
  • Kaufman’s Adaptive Moving Average (KAMA)
  • Rate of Change (ROC)
  • Daily Return (DR)
  • Daily Log Return (DLR)
  • Cumulative Return (CR)

Motivation to use

How to use (python >= v3.6)

To use this library you should have a financial time series dataset including Timestamp , Open , High , Low , Close and Volume columns.

You should clean or fill NaN values in your dataset before add technical analysis features.

You can get code examples in examples_to_use folder.

You can visualize the features in this notebook.

Example adding all features

Example adding particular feature

Deploy and develop (for developers)

Thank you to OpenSistemas! It is because of your contribution that I am able to continue the development of this open source library.

  • Automated tests for all the indicators.
  • Add more technical analysis features.
  • Wrapper to get financial data.
  • Use of the Pandas multi-indexing techniques to calculate several indicators at the same time.
  • use Plotly/Streamlit to visualize features

Developed by Darío López Padial (aka Bukosabino) and other contributors.

Please, let me know about any comment or feedback.

Also, I am a software engineer freelance focused on Data Science using Python tools such as Pandas, Scikit-Learn, Backtrader, Zipline or Catalyst. Don’t hesitate to contact me if you need something related with this library, Python, Technical Analysis, AlgoTrading, Machine Learning, etc.

2/2 ITM using Ichimoku & PA

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