Bullish and Bearish statistics based on time

[Alfreddy]

If there is someone on this forum that can create a label, showing bullish/bearish time ratio and/or time of possession, based on the amount of time a bullish or bearish move is made during RTH. Giving a visual look at average time for buying and selling and also giving sight as to how long of time to hold a move, bullish or bearish, based the label's average time stamp.
This idea is based on watching sports such as stats and time possession that I think may be a possibility to transfer that system and stats to the stock market. If there is such a label already coded, please guide me. TIA

 

[Perito991]

Interesting concept. Comparing market action to sports possession stats isn't something I've seen done much. You'll likely need to find someone to code this for your platform since it’s pretty custom.

 

[Alfreddy]

If there is someone on this forum that can create a label, showing bullish/bearish time ratio and/or time of possession, based on the amount of time a bullish or bearish move is made during RTH. Giving a visual look at average time for buying and selling and also giving sight as to how long of time to hold a move, bullish or bearish, based the label's average time stamp.
This idea is based on watching sports such as stats and time possession that I think may be a possibility to transfer that system and stats to the stock market. If there is such a label already coded, please guide me. TIA

here's a study i got from Chatgp, based on my post above, it works on S&P and SPY and i think that there is some of you that can improve this study.

https://tos.mx/!iyGnUQTv
View attachment 27236

.

DECLARE UPPER;

input length = 50;
input minATRFactor = 0.2;
input extensionFactor = 1.0;
input alertZ = 1.5;
input minCycles = 5;

# --- Core indicators ---
def vwap = VWAP();
def atr = Average(TrueRange(high, close, low), 14);
def rsi = RSI(14);

# --- Time per bar (minutes) ---
def barMinutes = GetAggregationPeriod() / 60000;

# --- Price movement ---
def move = close - close[1];
def tr = TrueRange(high, close, low);

# --- Filters ---
def strongMove = AbsValue(move) > (atr * minATRFactor);
def bodySize = AbsValue(close - open);
def strongCandle = bodySize > (tr * 0.6);

# --- VWAP bias ---
def up = close > vwap and move > 0 and strongMove and strongCandle;
def down = close < vwap and move < 0 and strongMove and strongCandle;

# --- Extension from VWAP ---
def vwapDist = AbsValue(close - vwap);
def extended = vwapDist > (atr * extensionFactor);

# --- Phase tracking ---
def buyPhase = if up then buyPhase[1] + 1 else 0;
def sellPhase = if down then sellPhase[1] + 1 else 0;

# --- Convert to time ---
def buyTime = buyPhase * barMinutes;
def sellTime = sellPhase * barMinutes;

# --- Reversals ---
def buyToSell = down and up[1];
def sellToBuy = up and down[1];

# =========================
# 🔥 STABLE STATS ENGINE
# =========================

# --- Capture cycles (NO NaN) ---
def buyCycle = if buyToSell then buyTime[1] else 0;
def sellCycle = if sellToBuy then sellTime[1] else 0;

# --- Counts ---
def buyCount = CompoundValue(1,
if buyToSell then buyCount[1] + 1 else buyCount[1],
0);

def sellCount = CompoundValue(1,
if sellToBuy then sellCount[1] + 1 else sellCount[1],
0);

# --- Sums ---

 

[halcyonguy]

If there is someone on this forum that can create a label, showing bullish/bearish time ratio and/or time of possession, based on the amount of time a bullish or bearish move is made during RTH. Giving a visual look at average time for buying and selling and also giving sight as to how long of time to hold a move, bullish or bearish, based the label's average time stamp.
This idea is based on watching sports such as stats and time possession that I think may be a possibility to transfer that system and stats to the stock market. If there is such a label already coded, please guide me. TIA

this lower study counts the up and down movements, bar to bar, on each day.
it calcs a ratio of the 2 numbers. it subtracts 1, to center the ratio line around 0.
it draws colored dots on the 0 line, green or red, for each bar to bar movement.
labels show the numbers.
the lines skip the first bar of the day, so the lines are not connected day to day.

# label_bull_bear_time_ratio
# https://usethinkscript.com/threads/bullish-and-bearish-statistics-based-on-time.22186/
#Bullish and Bearish statistics based on time

declare lower;

def na = Double.NaN;
def bn = BarNumber();

#---------------------------------
# get chart agg time
def chartagg = getaggregationperiod();
def chartmin = chartagg/(1000*60);
#---------------------------------

def grn = close > close[1];
def red = close < close[1];


def start = 0930;
def end = 1600;
def daytime = if secondsfromTime(start) >= 0 and secondstillTime(end) > 0 then 1 else 0;

def startbar = (secondsfromTime(start) == 0);
addverticalline(startbar, "-", color.cyan);

def daynum = getday();
def newday = daynum != daynum[1];


def grncnt;
def redcnt;
if startbar then {
 grncnt = 0;
 redcnt = 0;
} else if daytime and newday then {
# day first bar
 grncnt = 0;
 redcnt = 0;
} else if daytime and grn then {
 grncnt = grncnt[1] + 1;
 redcnt = redcnt[1];
} else if daytime and red then {
 grncnt = grncnt[1];
 redcnt = redcnt[1] + 1;
} else {
 grncnt = grncnt[1];
 redcnt = redcnt[1];
}


input ratio_factor = 1;
#  ratio of green red. adjusted to be cenetered on 0
def xcnt = if (grncnt == 0 or redcnt == 0) then 0
else ((grncnt / redcnt) - 1) * ratio_factor;


input show_grn_red_lines = yes;
input show_ratio_line = yes;

def l1 = if !show_grn_red_lines or newday then na else grncnt;
def l2 = if !show_grn_red_lines or newday then na else redcnt;
def l3 = if !show_ratio_line or newday then na else xcnt;

plot z1 = l1; 
plot z2 = l2;
plot z3 = l3;
z1.SetDefaultColor(Color.green);
z1.setlineweight(1);
z1.hidebubble();
z2.SetDefaultColor(Color.red);
z2.setlineweight(1);
z2.hidebubble();
z3.SetDefaultColor(Color.cyan);
z3.setlineweight(1);
z3.hidebubble();


addlabel(1, "daily count", color.white);
addlabel(1, " ", color.black);
addlabel(1, grncnt, z1.takevaluecolor());
addlabel(1, (grncnt * chartmin) + "min", z1.takevaluecolor());
addlabel(1, " ", color.black);
addlabel(1, redcnt, z2.takevaluecolor());
addlabel(1, (redcnt * chartmin) + "min", z2.takevaluecolor());
addlabel(1, " ", color.black);
addlabel(1, "ratio " + xcnt, z3.takevaluecolor());
addlabel(1, " ", color.black);


plot z0 = 0;
z0.SetDefaultColor(Color.GRAY);

input show_bar_dots = yes;
plot zdots = if !show_bar_dots then na else 0;
zdots.AssignValueColor( if grn then color.green else if red then color.red else color.black);
zdots.SetPaintingStrategy(PaintingStrategy.POINTS);
zdots.setlineweight(2);
zdots.hidebubble();


#---------------------------

addchartbubble(0, 4,
"G " + grncnt + "\n" +
"R " + redcnt + "\n" +
xcnt
, color.cyan, 1);

#

 

[Alfreddy]

this lower study counts the up and down movements, bar to bar, on each day.
it calcs a ratio of the 2 numbers. it subtracts 1, to center the ratio line around 0.
it draws colored dots on the 0 line, green or red, for each bar to bar movement.
labels show the numbers.
the lines skip the first bar of the day, so the lines are not connected day to day.

# label_bull_bear_time_ratio
# https://usethinkscript.com/threads/bullish-and-bearish-statistics-based-on-time.22186/
#Bullish and Bearish statistics based on time

declare lower;

def na = Double.NaN;
def bn = BarNumber();

#---------------------------------
# get chart agg time
def chartagg = getaggregationperiod();
def chartmin = chartagg/(1000*60);
#---------------------------------

def grn = close > close[1];
def red = close < close[1];


def start = 0930;
def end = 1600;
def daytime = if secondsfromTime(start) >= 0 and secondstillTime(end) > 0 then 1 else 0;

def startbar = (secondsfromTime(start) == 0);
addverticalline(startbar, "-", color.cyan);

def daynum = getday();
def newday = daynum != daynum[1];


def grncnt;
def redcnt;
if startbar then {
 grncnt = 0;
 redcnt = 0;
} else if daytime and newday then {
# day first bar
 grncnt = 0;
 redcnt = 0;
} else if daytime and grn then {
 grncnt = grncnt[1] + 1;
 redcnt = redcnt[1];
} else if daytime and red then {
 grncnt = grncnt[1];
 redcnt = redcnt[1] + 1;
} else {
 grncnt = grncnt[1];
 redcnt = redcnt[1];
}


input ratio_factor = 1;
#  ratio of green red. adjusted to be cenetered on 0
def xcnt = if (grncnt == 0 or redcnt == 0) then 0
else ((grncnt / redcnt) - 1) * ratio_factor;


input show_grn_red_lines = yes;
input show_ratio_line = yes;

def l1 = if !show_grn_red_lines or newday then na else grncnt;
def l2 = if !show_grn_red_lines or newday then na else redcnt;
def l3 = if !show_ratio_line or newday then na else xcnt;

plot z1 = l1;
plot z2 = l2;
plot z3 = l3;
z1.SetDefaultColor(Color.green);
z1.setlineweight(1);
z1.hidebubble();
z2.SetDefaultColor(Color.red);
z2.setlineweight(1);
z2.hidebubble();
z3.SetDefaultColor(Color.cyan);
z3.setlineweight(1);
z3.hidebubble();


addlabel(1, "daily count", color.white);
addlabel(1, " ", color.black);
addlabel(1, grncnt, z1.takevaluecolor());
addlabel(1, (grncnt * chartmin) + "min", z1.takevaluecolor());
addlabel(1, " ", color.black);
addlabel(1, redcnt, z2.takevaluecolor());
addlabel(1, (redcnt * chartmin) + "min", z2.takevaluecolor());
addlabel(1, " ", color.black);
addlabel(1, "ratio " + xcnt, z3.takevaluecolor());
addlabel(1, " ", color.black);


plot z0 = 0;
z0.SetDefaultColor(Color.GRAY);

input show_bar_dots = yes;
plot zdots = if !show_bar_dots then na else 0;
zdots.AssignValueColor( if grn then color.green else if red then color.red else color.black);
zdots.SetPaintingStrategy(PaintingStrategy.POINTS);
zdots.setlineweight(2);
zdots.hidebubble();


#---------------------------

addchartbubble(0, 4,
"G " + grncnt + "\n" +
"R " + redcnt + "\n" +
xcnt
, color.cyan, 1);

#

Thank you for the reply and will use your lower study as it is and see how it interacts with the CHATGP

 

[Alfreddy]

I updated the CHATGP study as a price only study. gives me more precise information and works well with SPX, SPY, /ES, /NQ and QQQ. Make the changes to fit your trading style.

 

[Alfreddy]

Interesting concept. Comparing market action to sports possession stats isn't something I've seen done much. You'll likely need to find someone to code this for your platform since it’s pretty custom.

Check out the new update on my CHATGP study. Works well on stocks and futures. Make adjustments to fit your trading style.