Long Trade on BANANA

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Long Trade on BANANA 10 Apr 2025 at 07:07:21

Take profit at 16.0609 (1.75 %) and Stop Loss at 15.5994 (1.17 %)

Long Trade on BANANA

The 10 Apr 2025 at 07:07:21

With 43.3389 BANANA at 15.784$ per unit.

Position size of 684.061 $

Take profit at 16.0609 (1.75 %) and Stop Loss at 15.5994 (1.17 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.45

Prediction Score:

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.18
atr: 0.1230611456

Details

score: 2.18
1H
ema9 : 16.006
ema21 : 15.6816
ema50 : 15.2802
price_ema9_diff : -0.0141623
ema9_ema21_diff : 0.0206866
ema21_ema50_diff : 0.0262731
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.541204
kc_percentage : 0.542567
kc_width_percentage : 0.112037
15m
ema9 : 16.0992
ema21 : 16.1537
ema50 : 15.9528
price_ema9_diff : -0.0195135
ema9_ema21_diff : -0.0033781
ema21_ema50_diff : 0.0125966
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.393167
kc_percentage : 0.118969
kc_width_percentage : 0.0618696
5m
ema9 : 15.9198
ema21 : 16.1069
ema50 : 16.1911
price_ema9_diff : -0.0084323
ema9_ema21_diff : -0.0116169
ema21_ema50_diff : -0.00520066
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.305606
kc_percentage : -0.181908
kc_width_percentage : 0.0290805

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 07:07:21	10 Apr 2025 11:15:00	4 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
15.784	15.5994	16.0609	1.5	4.223

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 15.784
Stop Loss: 15.5994
Take Profit: 16.0609

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 15.5994 - 15.784 = -0.1846
Récompense (distance jusqu'au take profit):

E - TP = 15.784 - 16.0609 = -0.2769
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.2769 / -0.1846 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
684.061	100	43.3389	6.84

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 -0.1846

Taille de position = 8 / -0.1846 = -43.34

Taille de position USD = -43.34 x 15.784 = -684.08

Donc, tu peux acheter -43.34 avec un stoploss a 15.5994

Avec un position size USD de -684.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -43.34 x -0.1846 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -43.34 x -0.2769 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -43.34
Taille de position USD -684.08
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.75 %	12 $

SL % Target	SL $ Target
1.17 %	8 $

PNL	PNL %
-7.8 $	-1.14

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.3878326996198 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 16.06
            [entry_price] => 15.78
            [stop_loss] => 15.582
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 11:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 16.06
            [entry_price] => 15.78
            [stop_loss] => 15.564
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 11:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 16.06
            [entry_price] => 15.78
            [stop_loss] => 15.546
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 11:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 16.06
            [entry_price] => 15.78
            [stop_loss] => 15.51
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 11:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.254
            [max_drawdown] => 0.168
            [rr_ratio] => 1.51
            [high] => 16.03800000
            [low] => 15.61600000
            [mfe_pct] => 1.61
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 1.51
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T07:07:21-04:00
            [end_at] => 2025-04-10T09:07:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.254
            [max_drawdown] => 0.628
            [rr_ratio] => 0.4
            [high] => 16.03800000
            [low] => 15.15600000
            [mfe_pct] => 1.61
            [mae_pct] => 3.98
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T07:07:21-04:00
            [end_at] => 2025-04-10T13:07:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 16.89700000
            [high_after] => 16.03800000
            [low_before] => 15.70800000
            [low_after] => 15.15600000
            [is_new_high] => 
            [is_new_low] => 
        )

)