Short Trade on PENDLE

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Short Trade on PENDLE 24 Sep 2025 at 22:58:56

Take profit at 4.6836 (1.27 %) and Stop Loss at 4.7742 (0.64 %)

Short Trade on PENDLE

The 24 Sep 2025 at 22:58:56

With 264.903 PENDLE at 4.744$ per unit.

Position size of 1256.6998 $

Take profit at 4.6836 (1.27 %) and Stop Loss at 4.7742 (0.64 %)

That's a 2 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 100

ML Pullback Score: 9.28

Prediction Score: 2

Prediction 1	Probability
Weak Trade	0.56

Prediction 2	Probability
0	0.45

Prediction 3	Probability
1	0.55

BTC Market Regime	Coin Market Regime
ml_regime : neutral rules_regime : bear_medium rules_regime_5m : range_low	1H_regime : bear_high 15m_regime : range_medium 5m_regime : range_low

BTC Market Regime

Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation	Score
5m : 0.728685 15m : -0.13335 1H : -0.055919	1

BTC Correlation

Score

5m : 0.728685

15m : -0.13335

1H : -0.055919

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.03
atr: 0.02013315621

Details

score: 1.03
1H
ema9 : 4.74218
ema21 : 4.76319
ema50 : 4.7899
ema100 : 4.84522
price_ema9_diff : 0.000382847
ema9_ema21_diff : -0.00441136
ema21_ema50_diff : -0.00557521
price_ema100_diff : -0.0208919
all_emas_in_trend : True
all_emas_and_price_in_trend : False
ema_slope_9 : -0.0996852
ema_slope_21 : -0.0327723
ema_slope_50 : -0.0284281
ema_slope_100 : -0.0364832
rsi : 0.469997
adx : 0.205684
kc_percentage : 0.418506
kc_width_percentage : 0.0471528
volume_ema_diff : 0.185381
volume_ema1 : 452122.61384365
volume_ema2 : 381415.14450733
chop : 43.8537
regime : bear_high
15m
ema9 : 4.69774
ema21 : 4.7172
ema50 : 4.7489
ema100 : 4.75755
price_ema9_diff : 0.00984698
ema9_ema21_diff : -0.00412566
ema21_ema50_diff : -0.00667573
price_ema100_diff : -0.00284819
all_emas_in_trend : True
all_emas_and_price_in_trend : False
ema_slope_9 : -0.0935985
ema_slope_21 : -0.0887424
ema_slope_50 : -0.0584888
ema_slope_100 : -0.0296359
rsi : 0.508997
adx : 0.391121
kc_percentage : 0.731391
kc_width_percentage : 0.0259857
volume_ema_diff : 0.705985
volume_ema1 : 156205.22992081
volume_ema2 : 91563.057576801
chop : 38.7977
regime : range_medium
5m
ema9 : 4.70883
ema21 : 4.69892
ema50 : 4.71107
ema100 : 4.73367
price_ema9_diff : 0.00746874
ema9_ema21_diff : 0.0021081
ema21_ema50_diff : -0.00257839
price_ema100_diff : 0.00218203
all_emas_in_trend : False
all_emas_and_price_in_trend : False
ema_slope_9 : 0.0524327
ema_slope_21 : 0.00848593
ema_slope_50 : -0.0154064
ema_slope_100 : -0.0182118
rsi : 0.635618
adx : 0.327233
kc_percentage : 1.02792
kc_width_percentage : 0.0179818
volume_ema_diff : 0.156998
volume_ema1 : 46840.207335832
volume_ema2 : 40484.230288827
chop : 32.6231
regime : range_low
btc_indicators
btc_indicators
5m_ema100:
```
113166
```
5m_price_ema100_diff:
```
-0.00300666
```
5m_price:
```
112826
```
5m_correlation_with_coin:
```
0.728685
```
btc_indicators
15m_ema100:
```
112972
```
15m_price_ema100_diff:
```
8.3678E-5
```
15m_price:
```
112982
```
15m_correlation_with_coin:
```
-0.13335
```
btc_indicators
1H_ema100:
```
113417
```
1H_price_ema100_diff:
```
-0.00521014
```
1H_price:
```
112826
```
1H_correlation_with_coin:
```
-0.055919
```

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Sep 2025 22:58:56	24 Sep 2025 23:25:00	26 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.744	4.7742	4.6836	2	1.3374

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 4.744
Stop Loss: 4.7742
Take Profit: 4.6836

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.7742 - 4.744 = 0.030200000000001
Récompense (distance jusqu'au take profit):

E - TP = 4.744 - 4.6836 = 0.0604
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0604 / 0.030200000000001 = 2

📌 Position Size

Amount	Margin	Quantity	Leverage
1256.6998	100	264.903	12.57

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss 0.030200000000001

Taille de position = 8 / 0.030200000000001 = 264.9

Taille de position USD = 264.9 x 4.744 = 1256.69

Donc, tu peux acheter 264.9 avec un stoploss a 4.7742

Avec un position size USD de 1256.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 264.9 x 0.030200000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 264.9 x 0.0604 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

Taille de position 264.9
Taille de position USD 1256.69
Perte potentielle 8
Gain potentiel 16
Risk-Reward Ratio 2

📌 Peformances

TP % Target	TP $ Target
1.27 %	16 $

SL % Target	SL $ Target
0.64 %	8 $

PNL	PNL %
16 $	1.27

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.1602 %	25.16 %	3

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 4.6836
            [stop_loss] => 4.7742
            [rr_ratio] => 2
            [closed_at] => 2025-09-24 23:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.6685
            [stop_loss] => 4.7742
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-24 23:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.6534
            [stop_loss] => 4.7742
            [rr_ratio] => 3
            [closed_at] => 2025-09-25 00:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4.6383
            [stop_loss] => 4.7742
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-25 00:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4.6232
            [stop_loss] => 4.7742
            [rr_ratio] => 4
            [closed_at] => 2025-09-25 00:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4.6081
            [stop_loss] => 4.7742
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-25 01:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 4.593
            [stop_loss] => 4.7742
            [rr_ratio] => 5
            [closed_at] => 2025-09-25 02:15:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1258
            [max_drawdown] => 0.0246
            [rr_ratio] => 5.11
            [high] => 4.76860000
            [low] => 4.61820000
            [mfe_pct] => 2.65
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 5.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-24T22:58:56-04:00
            [end_at] => 2025-09-25T00:58:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1573
            [max_drawdown] => 0.0246
            [rr_ratio] => 6.39
            [high] => 4.76860000
            [low] => 4.58670000
            [mfe_pct] => 3.32
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 6.39
            [candles_analyzed] => 84
            [start_at] => 2025-09-24T22:58:56-04:00
            [end_at] => 2025-09-25T05:58:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.76560000
            [high_after] => 4.76860000
            [low_before] => 4.63860000
            [low_after] => 4.58670000
            [is_new_high] => 
            [is_new_low] => 1
        )

)