Seeing a lot of people making triangles with just 2-3 touchpoints offlate

An ideal triangle shall have at the minimum 5 touchpoints in order to give a good trending move post that

Here are few examples 👇

The thread explains my momentum scanner and how to build it in #TradePoint software.
@Definedge
Conditions :
1)EMA 8 above EMA 34 and rising
2)Candle close above previous 5 candle high
3) RSI above 60
4) Volume above previous 5 candles
5) ADX above 30
1/n

Select Double Moving Average 8 and 34
2/n

Under Patterns select Close Above Prev Bars
3/n

Qualify the candle close
4/n

RSI above 60
5/n

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

(1/3)

I am using only one indicator in the chart.
i.e DC(20) = Donchain Channel
I use 3 min chart and the DC period is 20, so DC high is basically the last 1 hour high & DC low is the last 1 hour low.
The middle line is the median of high and low.

(2/3)

Donchian channels are mainly used to identify the breakout of nifty/BNF.
We can take directional bias based on the indicator.
If nifty is breaking DC high, can take bullish view.
if it is breaking DC down, can take bearish view.
if it is in between, can trade range-bound.

(3/3)

We can monitor nifty/banknifty futures with volume along with DC.
If the volume is 1.5 to 2 times the average volume and if DC high/low is taken out then it can be a strong bullish/bearish signal.