@jeremiah.goat6:

Jeremiah Goutreaux
Jeremiah Goutreaux
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Region: NG
Monday 18 August 2025 01:41:02 GMT
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c.regina.berridge
C Regina Berridge :
yeah that's happened to me and that's when I know that I'm not that person that won't in their life
2025-08-18 12:00:21
12
patricia.castillo24
Patricia Castillo :
definitely agree
2025-08-29 23:01:03
15
janicehutton
janicehutton :
hello
2025-08-19 06:11:49
11
nurs7493
🌵🩵FarmersDaughter#RN🩵🌵 :
True
2026-01-23 03:46:41
5
red63186
trudamhcuj1 :
you are so handsome ❤️❤️❤️❤️❤️❤️
2025-08-21 20:40:33
5
toni.freeman23
Toni Freeman :
i gave you up
2025-08-19 21:18:44
7
ruth.foland.baby
ruthfoland :
Good morning
2025-08-21 14:06:17
3
sonyaperrodin6
sonya :
why did you stop talking to me ?
2025-08-18 18:49:30
3
jenniewilliams89
jenniewilliams89 :
Thought things would be different
2025-08-31 03:02:20
2
kellyjb65
Kelly :
💯
2025-08-20 15:48:03
15
marymanual16
Mary Manual :
❤️❤️❤️
2025-08-24 15:03:38
12
user180228566355
sexyc :
😂
2025-12-27 07:50:02
3
kathybles
Kathybles1124 :
🌷
2025-08-29 13:47:43
4
patty.cakes91
Patty Cakes :
I agree
2025-10-28 20:12:34
9
mattie.thornton7
Mattie Thornton :
You shouldn't have to pay someone to love you.
2025-11-01 12:12:44
3
jenniewilliams89
jenniewilliams89 :
that door swings both ways
2025-08-24 13:07:42
3
To see more videos from user @jeremiah.goat6, please go to the Tikwm homepage.

Other Videos

Replying to @jakecondemn4 How to classify “choppy” markets. This example indicator calculates the following features: Efficiency Ratio (Directional Efficiency) Measures how much net price progress occurred relative to total movement (trend vs noise). Benefit: Extremely intuitive and robust for regime filtering; shortcoming: sensitive to lookback length and blind to volatility clustering. Volatility Without Direction Measures total price variability while ignoring net return (movement ≠ progress). Benefit: Flags “violent chop” that destroys trend strategies; shortcoming: can’t distinguish chop from clean breakouts early. Autocorrelation Decay Measures how quickly return predictability disappears across lags. Benefit: Directly quantifies trend persistence vs randomness; shortcoming: noisy at short horizons and unstable in small samples. Sign Flip Rate / Directional Entropy Measures how frequently returns change direction from bar to bar. Benefit: Very sensitive to chop and mean-reversion; shortcoming: ignores magnitude, so tiny flips and big reversals look the same. Trend Strength Normalized by Noise (ADX-style ratios) Measures directional movement relative to total movement. Benefit: Smooth, interpretable regime classification; shortcoming: laggy and redundant with efficiency-style metrics. Hurst Exponent Measures whether price paths persist (trend) or revert (chop) over time. Benefit: Captures long-memory structure; shortcoming: unstable, estimation-sensitive, and often misused alone. Spectral / Frequency-Domain Features Measures whether price energy is concentrated in low (trend) or high (chop) frequencies. Benefit: Reveals structure invisible in time domain; shortcoming: complex, non-intuitive, and overkill for most strategies. #algorithmictrading #quant
Replying to @jakecondemn4 How to classify “choppy” markets. This example indicator calculates the following features: Efficiency Ratio (Directional Efficiency) Measures how much net price progress occurred relative to total movement (trend vs noise). Benefit: Extremely intuitive and robust for regime filtering; shortcoming: sensitive to lookback length and blind to volatility clustering. Volatility Without Direction Measures total price variability while ignoring net return (movement ≠ progress). Benefit: Flags “violent chop” that destroys trend strategies; shortcoming: can’t distinguish chop from clean breakouts early. Autocorrelation Decay Measures how quickly return predictability disappears across lags. Benefit: Directly quantifies trend persistence vs randomness; shortcoming: noisy at short horizons and unstable in small samples. Sign Flip Rate / Directional Entropy Measures how frequently returns change direction from bar to bar. Benefit: Very sensitive to chop and mean-reversion; shortcoming: ignores magnitude, so tiny flips and big reversals look the same. Trend Strength Normalized by Noise (ADX-style ratios) Measures directional movement relative to total movement. Benefit: Smooth, interpretable regime classification; shortcoming: laggy and redundant with efficiency-style metrics. Hurst Exponent Measures whether price paths persist (trend) or revert (chop) over time. Benefit: Captures long-memory structure; shortcoming: unstable, estimation-sensitive, and often misused alone. Spectral / Frequency-Domain Features Measures whether price energy is concentrated in low (trend) or high (chop) frequencies. Benefit: Reveals structure invisible in time domain; shortcoming: complex, non-intuitive, and overkill for most strategies. #algorithmictrading #quant

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