$30,000 Millionaire said:

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rally days end with what?

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Prog posting something jiggling??

FYI

OA1DTS members.

I am going to be live at 3pm, to finish the basics charting. It will be in the Vimeo Showcase for your viewing at your leisure.

If you are around and would like to join live just use your link and passcode from last time.

— OA1 Disciplined Trading Service www.OA1Trading.com (@oldarmy1) June 27, 2023

If I'm understanding the lingo correctly. MT on today's move is $50.11 and 7/21 $53c should be going for ~.90.

If we get a MT retrace against today's move on $Z early tomorrow then Jul 21 $53 calls look strong. Note the volume today late. After a big macro move I'd like to see up to 25% retrace against todays move on $Z, in order to action.

— OA1 Disciplined Trading Service www.OA1Trading.com (@oldarmy1) June 27, 2023

a kid I work with that has figured out I trade stocks told me that he is trying to short AAPL. I asked him what the hell was wrong with him.

At this point I'm regretting taking a bit of my AAPL profits earlier this month.

Then again, I sold a similar amount of GOOGL and it's dropped like 4%, so it evens out.

When I first started trading stocks, I lost some money.

But I stuck with it and never gave up.

Now, after years of trading stocks, I finally lost all my money.

— Douglas A. Boneparth (@dougboneparth) June 27, 2023

Been playing around with my Pine Script:

Quote:

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//@version=4
strategy("PPO Angle Strategy with Modified Sell Condition", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, process_orders_on_close=true)

startYear = input(2022, "Start Year")
startMonth = input(12, "Start Month")
startDay = input(1, "Start Day")
endYear = year(time)
endMonth = month(time)
endDay = dayofmonth(time)

// Date range condition
dateRangeCondition = time >= timestamp(startYear, startMonth, startDay, 0, 0) and time <= timestamp(endYear, endMonth, endDay, 23, 59)

// Input parameters for PPO
ppoFastLength = input(21, title="PPO Fast Length")
ppoSlowLength = input(52, title="PPO Slow Length")
ppoSignalLength = input(9, title="PPO Signal Length")
minPpoSignalDistance = input(0.1, title="Minimum Distance Between PPO and Signal Lines", type=input.float)
minAngleDifference = input(2, title="Minimum Angle Difference (Degrees)", type=input.integer)
stopLossPct = input(20, title="Stop Loss %", type=input.integer)
emainput = input(100, title="EMA XXX support line", type=input.integer)

// Inputs
ema1Period = input(title="EMA #1 Period", type=input.integer, defval=5)
ema2Period = input(title="EMA #2 Period", type=input.integer, defval=50)
ema3Period = input(title="EMA #3 Period", type=input.integer, defval=200)
//emaCrossOverBBPeriod = input(title="EMA Cross Over BB Period", type=input.integer, defval=10)

// Calculate EMAs
ema1 = ema(close, ema1Period)
ema2 = ema(close, ema2Period)
ema3 = ema(close, ema3Period)

// Plot EMAs
plot(ema1, color=color.blue, title="EMA 1")
plot(ema2, color=color.yellow, title="EMA 2")
plot(ema3, color=color.red, title="EMA 3")

// Calculate PPO
ppo = ema(close, ppoFastLength) - ema(close, ppoSlowLength)
ppoSignal = ema(ppo, ppoSignalLength)

// Calculate EMA 50
ema = ema(close, emainput)
emaSlope = ema - ema[1]
emaSlopePositive = emaSlope > 0
emaSlopeNegative = emaSlope < 0
priceBelowEma = close < ema
priceAboveEma = close > ema

// Calculate slopes and angle differences
ppoSlope = ppo - ppo[1]
ppoSignalSlope = ppoSignal - ppoSignal[1]
ppoAngle = atan(ppoSlope) * 180 / (math.pi)
ppoSignalAngle = atan(ppoSignalSlope) * 180 / (math.pi)
angleBetweenLines = acos((ppoSlope * ppoSignalSlope + ppoSlope[1] * ppoSignalSlope[1]) / (sqrt(pow(ppoSlope, 2) + pow(ppoSlope[1], 2)) * sqrt(pow(ppoSignalSlope, 2) + pow(ppoSignalSlope[1], 2)))) * 180 / math.pi

// Stop loss
stopLoss = strategy.position_avg_price * (1 - stopLossPct / 100)

// Calculate Bollinger Bands
length = 20
mult = 2.0
basis = sma(close, length)
dev = mult * stdev(close, length)
upperband = basis + dev
lowerband = basis - dev

// Define long entry and exit conditions
enterLong = dateRangeCondition and (priceAboveEma and crossover(ppo, ppoSignal) or (ppoSlope > 0 and ppoAngle > minAngleDifference and crossover(ppo, ppoSignal) and (ppo < 0 )))

// Define sell condition
exitLong = dateRangeCondition and ((ppo < (ppoSignal - minPpoSignalDistance) or close<stopLoss))

// Define buy and sell signals
buySignal = enterLong and bar_index > 0
sellSignal = exitLong

// Plot buy signal as a solid green square with a "BUY" label, and sell signal as a solid red square with a "SELL" label
buySignalLabel = buySignal and strategy.position_size == 0
sellSignalLabel = sellSignal and strategy.position_size > 0

plotshape(buySignalLabel, style=shape.labelup, location=location.belowbar, color=color.green, size=size.normal, text="Buy", textcolor=color.white, offset=0)
plotshape(sellSignalLabel, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.normal, text="Sell", textcolor=color.white, offset=0)

if buySignal and strategy.position_size == 0
strategy.entry("Long Entry", strategy.long)

if sellSignal and strategy.position_size > 0
strategy.close("Long Entry")

plot(ema, color=color.blue, title="EMA Support")

// Plot the values of the variables in the data window
plotchar(priceAboveEma, "priceAboveEma", "", location.top, size=size.tiny)
plotchar(ppo, "PPO", "", location.top, size=size.tiny)
plotchar(ppoSignal, "PPO Signal", "", location.top, size=size.tiny)
plotchar(ppoSlope, "PPO Slope", "", location.top, size=size.tiny)
plotchar(ppoSignalAngle, "PPO Angle", "", location.top, size=size.tiny)
plotchar(ema, "EMA", "", location.top, size=size.tiny)
plotchar(emaSlope, "EMA Slope", "", location.top, size=size.tiny)
plotchar(close, "Close", "", location.top, size=size.tiny)
plotchar(stopLoss, "stoploss", "", location.top, size=size.tiny)
plotchar(strategy.position_size, "Position Size", "", location.top, size=size.tiny)
plotchar(strategy.position_avg_price, "Position Avg Price", "", location.top, size=size.tiny)

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Set it to the 30 minute chart for this code and look at UPRO. 78% win rate and +42% profit since 12/1/2022.

This code uses PPO (similar to MACD, but it's been normalized so that you can compare PPO against other stocks) and the angle between the PPO an PPO Signal line as well as distance between the two. What we are trying to do here is filter out the noise. Sometimes the PPO would interweave with the signal line and create false buy/sell signals. With the angle setting, we are trying to capture strong moves. Same with the distance setting.

One thing I've learned about the MACD through all this is that your win rate is highly sensitive to your settings and that the standard settings aren't usually the most profitable. Also found that it works better on some stocks than others. For instance, it works well with UPRO, but horribly with DNN. Check it out and tell me what you think could be better.

That's a lot different than "hey man I'm buying this weeks puts on Apple".

I asked the dude to show me the setup to short it. Of course there isn't one.

Howdy family, if anyone in here has a chunk of cash sitting on the sidelines and might be interested in a almost 1.75% ONE DAY CDish return on your cash, then buy $XRX today.

XRX, isn't volatile and it goes ex-dividend tomorrow, so you'd capture that dividend just for holding the stock overnight.

Just an idea to pick up some walking around money on your sideline cash.

you puxxies know what to do when this breaks, right?

what you should see here is that the market is basing, but this is bullish basing. i think there are high odds this breaks to the upside.

I was gonna say, i already bought downies so the answer is probably "buy uppies"