Short Trade on BANANA

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Short Trade on BANANA 03 Nov 2025 at 13:00:50

Take profit at 10.6291 (2.04 %) and Stop Loss at 10.9605 (1.02 %)

Short Trade on BANANA

The 03 Nov 2025 at 13:00:50

With 72.424 BANANA at 10.85$ per unit.

Position size of 785.8001 $

Take profit at 10.6291 (2.04 %) and Stop Loss at 10.9605 (1.02 %)

That's a 2 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 100

ML Pullback Score: 8

Prediction Score: 3

Prediction 1	Probability
Weak Trade	0.58

Prediction 2	Probability
1	0.51

Prediction 3	Probability
1	0.51

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

BTC Market Regime

Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium

BTC Correlation	Score
5m : 0.86836 15m : -0.209652 1H : -0.091519	1

BTC Correlation

Score

5m : 0.86836

15m : -0.209652

1H : -0.091519

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.08
atr: 0.0736404389

Details

score: 1.08
1H
ema9 : 10.9222
ema21 : 11.269
ema50 : 11.7501
ema100 : 11.9834
price_ema9_diff : -0.00661884
ema9_ema21_diff : -0.0307736
ema21_ema50_diff : -0.040939
price_ema100_diff : -0.0945866
all_emas_in_trend : True
all_emas_and_price_in_trend : True
ema_slope_9 : -0.533348
ema_slope_21 : -0.496858
ema_slope_50 : -0.327188
ema_slope_100 : -0.184305
rsi : 0.357517
adx : 0.417833
kc_percentage : 0.190772
kc_width_percentage : 0.117027
volume_ema_diff : 0.549253
volume_ema1 : 283559.09739675
volume_ema2 : 183029.45269415
chop : 23.4442
regime : bear_high
15m
ema9 : 10.725
ema21 : 10.8059
ema50 : 11.0543
ema100 : 11.3551
price_ema9_diff : 0.0116492
ema9_ema21_diff : -0.00748384
ema21_ema50_diff : -0.0224733
price_ema100_diff : -0.0444855
all_emas_in_trend : True
all_emas_and_price_in_trend : False
ema_slope_9 : -0.299133
ema_slope_21 : -0.265624
ema_slope_50 : -0.199395
ema_slope_100 : -0.14655
rsi : 0.494499
adx : 0.390152
kc_percentage : 0.58201
kc_width_percentage : 0.0596562
volume_ema_diff : -0.568164
volume_ema1 : 34564.262159182
volume_ema2 : 80040.378681202
chop : 16.1115
regime : bear_high
5m
ema9 : 10.7652
ema21 : 10.6986
ema50 : 10.7587
ema100 : 10.8807
price_ema9_diff : 0.00786848
ema9_ema21_diff : 0.00622697
ema21_ema50_diff : -0.00558479
price_ema100_diff : -0.00282347
all_emas_in_trend : False
all_emas_and_price_in_trend : False
ema_slope_9 : 0.187523
ema_slope_21 : 0.0880312
ema_slope_50 : -0.0112304
ema_slope_100 : -0.0313282
rsi : 0.657059
adx : 0.265443
kc_percentage : 1.08246
kc_width_percentage : 0.0236949
volume_ema_diff : -0.865956
volume_ema1 : 4537.2872126258
volume_ema2 : 33849.435570969
chop : 49.2203
regime : range_medium
btc_indicators
btc_indicators
5m_ema100:
```
107132
```
5m_price_ema100_diff:
```
0.0028389
```
5m_price:
```
107436
```
5m_correlation_with_coin:
```
0.86836
```
btc_indicators
15m_ema100:
```
108118
```
15m_price_ema100_diff:
```
-0.00630919
```
15m_price:
```
107436
```
15m_correlation_with_coin:
```
-0.209652
```
btc_indicators
1H_ema100:
```
109004
```
1H_price_ema100_diff:
```
-0.0143883
```
1H_price:
```
107436
```
1H_correlation_with_coin:
```
-0.091519
```

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 Nov 2025 13:00:50	03 Nov 2025 14:00:00	59 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
10.85	10.9605	10.6291	2	4.355

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 10.85
Stop Loss: 10.9605
Take Profit: 10.6291

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 10.9605 - 10.85 = 0.1105
Récompense (distance jusqu'au take profit):

E - TP = 10.85 - 10.6291 = 0.2209
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.2209 / 0.1105 = 1.9991

📌 Position Size

Amount	Margin	Quantity	Leverage
785.8001	100	72.424	7.86

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 0.1105

Taille de position = 8 / 0.1105 = 72.4

Taille de position USD = 72.4 x 10.85 = 785.54

Donc, tu peux acheter 72.4 avec un stoploss a 10.9605

Avec un position size USD de 785.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 72.4 x 0.1105 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 72.4 x 0.2209 = 15.99

Si Take Profit atteint, tu gagneras 15.99$

Résumé

Taille de position 72.4
Taille de position USD 785.54
Perte potentielle 8
Gain potentiel 15.99
Risk-Reward Ratio 1.9991

📌 Peformances

TP % Target	TP $ Target
2.04 %	16 $

SL % Target	SL $ Target
1.02 %	8 $

PNL	PNL %
16 $	2.04

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.0369 %	3.62 %	1

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 10.629
            [stop_loss] => 10.9605
            [rr_ratio] => 2
            [closed_at] => 2025-11-03 14:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 10.57375
            [stop_loss] => 10.9605
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-03 14:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 10.5185
            [stop_loss] => 10.9605
            [rr_ratio] => 3
            [closed_at] => 2025-11-03 14:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 10.46325
            [stop_loss] => 10.9605
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-03 15:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 10.408
            [stop_loss] => 10.9605
            [rr_ratio] => 4
            [closed_at] => 2025-11-03 15:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 10.35275
            [stop_loss] => 10.9605
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-03 15:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 10.2975
            [stop_loss] => 10.9605
            [rr_ratio] => 5
            [closed_at] => 2025-11-03 15:50:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.384
            [max_drawdown] => 0.0039999999999996
            [rr_ratio] => 96
            [high] => 10.85400000
            [low] => 10.46600000
            [mfe_pct] => 3.54
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 96
            [candles_analyzed] => 24
            [start_at] => 2025-11-03T13:00:50-05:00
            [end_at] => 2025-11-03T15:00:50-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.559
            [max_drawdown] => 0.0039999999999996
            [rr_ratio] => 100
            [high] => 10.85400000
            [low] => 10.29100000
            [mfe_pct] => 5.15
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 139.75
            [candles_analyzed] => 84
            [start_at] => 2025-11-03T13:00:50-05:00
            [end_at] => 2025-11-03T20:00:50-05:00
        )

    [breakout] => Array
        (
            [high_before] => 11.31300000
            [high_after] => 10.85400000
            [low_before] => 9.71300000
            [low_after] => 10.29100000
            [is_new_high] => 
            [is_new_low] => 
        )

)