$ADD $TICK $VOLD trading strategy- Divergence Indicator

[Ronathan Edwards]

1:51 / 6:57 • Intro TICK Divergences, Extreme TICK Alerts, & Cumulative TICK Indicators -The strategy isn't that complex, but it watches for the strengths and weaknesses of market internals. I found ONE indicator that shows divergence patterns on the $TICK chart (which you have to pay for) from TradeEdge coding for TOS. It gives alerts when the the TICK comes into possible exhaustion periods (when it hits the 600 and 800 levels and extreme levels 1000. It would be great to have someone make this indicator.

But also a major part of the strategy is the movement of the $ADD. Major levels are at zero and 2000 and -2000 for extremes and the 1500and 1800 levels. I can't find anywhere where there is an indicator finding divergences between the $ADD and the SPY.
Last week for example I saw the ADD tanking as the SPY was going up, and I made a boatload on puts... It would be great to have an indicator that would show divergences on the ADD. @MerryDay ?
Here are examples:

 

[mashume]

This may start to get at what you're interested in.

This uses INERTIA() which is just a linear regression slope to determine if the last 15 (default) bars are trending the same direction. If one line is negative and the others positive, it is a divergence.
it does not currently plot the $tick value, and the multipliers are required for now, but I suppose values could be converted to percentage changes at the expense of more code.

It DOES NOT LOOK FOR HIGHER HIGHS / LOWER LOWS at all.

declare lower;

def add = close(symbol = "$ADD");
def tick = close(symbol = "$TICK");
def spy = close(symbol = "SPY");
def vold = close(symbol = "$VOLD");

input length = 15;

def add_slope = Inertia(data = add, length = length);
def tick_slope = Inertia(data = tick, length = length);
def spy_slope = Inertia(data = spy, length = length);
def vold_slope = Inertia(data = vold, length = length);

plot add_dt = (add_slope - getValue(Add_slope, length)) / length;
plot spy_dt = (spy_slope - getValue(spy_slope, length)) / length * 500;
plot vold_dt = (vold_slope - getValue(vold_slope, length)) / length / 100000;

plot zero = 0;

If that is along the lines of what you're interested in, let me know. if not, let me know that too.

cheers,
mashume

 

[Ronathan Edwards]

Thanks, I'll check it out... tempted to buy the Tick Diverence ... but really want the ADD divergence also... Actually I want them to only have the SPY compared to... I don't want it comparing the ADD with the TICK... just the SPY... it would look like this

 

[Ronathan Edwards]

This may start to get at what you're interested in.

This uses INERTIA() which is just a linear regression slope to determine if the last 15 (default) bars are trending the same direction. If one line is negative and the others positive, it is a divergence.
it does not currently plot the $tick value, and the multipliers are required for now, but I suppose values could be converted to percentage changes at the expense of more code.

It DOES NOT LOOK FOR HIGHER HIGHS / LOWER LOWS at all.

declare lower;

def add = close(symbol = "$ADD");
def tick = close(symbol = "$TICK");
def spy = close(symbol = "SPY");
def vold = close(symbol = "$VOLD");

input length = 15;

def add_slope = Inertia(data = add, length = length);
def tick_slope = Inertia(data = tick, length = length);
def spy_slope = Inertia(data = spy, length = length);
def vold_slope = Inertia(data = vold, length = length);

plot add_dt = (add_slope - getValue(Add_slope, length)) / length;
plot spy_dt = (spy_slope - getValue(spy_slope, length)) / length * 500;
plot vold_dt = (vold_slope - getValue(vold_slope, length)) / length / 100000;

plot zero = 0;

If that is along the lines of what you're interested in, let me know. if not, let me know that too.

cheers,
mashume

@mashume Sorry to reply so late. I really just wanted a divergence for the ADDand ADSPD (to save script expense) ... which could detect through higher highs- lower lows, but I'll check this out. Thanks!

 

[Ronathan Edwards]

@mashume Sorry to reply so late. I really just wanted a divergence for the ADDand ADSPD (to save script expense) ... which could detect through higher highs- lower lows, but I'll check this out. Thank

This may start to get at what you're interested in.

This uses INERTIA() which is just a linear regression slope to determine if the last 15 (default) bars are trending the same direction. If one line is negative and the others positive, it is a divergence.
it does not currently plot the $tick value, and the multipliers are required for now, but I suppose values could be converted to percentage changes at the expense of more code.

It DOES NOT LOOK FOR HIGHER HIGHS / LOWER LOWS at all.

declare lower;

def add = close(symbol = "$ADD");
def tick = close(symbol = "$TICK");
def spy = close(symbol = "SPY");
def vold = close(symbol = "$VOLD");

input length = 15;

def add_slope = Inertia(data = add, length = length);
def tick_slope = Inertia(data = tick, length = length);
def spy_slope = Inertia(data = spy, length = length);
def vold_slope = Inertia(data = vold, length = length);

plot add_dt = (add_slope - getValue(Add_slope, length)) / length;
plot spy_dt = (spy_slope - getValue(spy_slope, length)) / length * 500;
plot vold_dt = (vold_slope - getValue(vold_slope, length)) / length / 100000;

plot zero = 0;

If that is along the lines of what you're interested in, let me know. if not, let me know that too.

cheers,
mashume

This is what I'm kinda looking for... today was a perfect example ... the ADD (and the ADSPD) and SPY were diverging beautifully... I would like to see some kind off upper study on the ADD chart drawing a line on the chart showing the diverence.... (like the yello

w lines)

 

[mdv]

This may start to get at what you're interested in.

This uses INERTIA() which is just a linear regression slope to determine if the last 15 (default) bars are trending the same direction. If one line is negative and the others positive, it is a divergence.
it does not currently plot the $tick value, and the multipliers are required for now, but I suppose values could be converted to percentage changes at the expense of more code.

It DOES NOT LOOK FOR HIGHER HIGHS / LOWER LOWS at all.

declare lower;

def add = close(symbol = "$ADD");
def tick = close(symbol = "$TICK");
def spy = close(symbol = "SPY");
def vold = close(symbol = "$VOLD");

input length = 15;

def add_slope = Inertia(data = add, length = length);
def tick_slope = Inertia(data = tick, length = length);
def spy_slope = Inertia(data = spy, length = length);
def vold_slope = Inertia(data = vold, length = length);

plot add_dt = (add_slope - getValue(Add_slope, length)) / length;
plot spy_dt = (spy_slope - getValue(spy_slope, length)) / length * 500;
plot vold_dt = (vold_slope - getValue(vold_slope, length)) / length / 100000;

plot zero = 0;

If that is along the lines of what you're interested in, let me know. if not, let me know that too.

cheers,
mashume

Mashume - quick question - is there an elegant way to normalize the variants above and combine to a single value? I would like to sum these to get to a single oscillator Kind thanks