Long Trade on BSW

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Long Trade on BSW 17 Apr 2025 at 21:51:30

Take profit at 0.01601 (2.76 %) and Stop Loss at 0.0153 (1.8 %)

Long Trade on BSW

The 17 Apr 2025 at 21:51:30

With 28074.9881 BSW at 0.01558$ per unit.

Position size of 437.4083 $

Take profit at 0.01601 (2.76 %) and Stop Loss at 0.0153 (1.8 %)

That's a 1.54 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.23

Prediction Score:

Prediction 1	Probability
Strong 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: 0.03
atr: 0.0001899674297

Details

score: 2.03
1H
ema9 : 0.0156902
ema21 : 0.0153252
ema50 : 0.0143808
price_ema9_diff : -0.00719677
ema9_ema21_diff : 0.0238205
ema21_ema50_diff : 0.0656673
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.547476
kc_percentage : 0.570345
kc_width_percentage : 0.200814
15m
ema9 : 0.0159292
ema21 : 0.0158523
ema50 : 0.0156493
price_ema9_diff : -0.0220286
ema9_ema21_diff : 0.00484734
ema21_ema50_diff : 0.0129752
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.451843
kc_percentage : 0.282999
kc_width_percentage : 0.0824581
5m
ema9 : 0.0159644
ema21 : 0.0159942
ema50 : 0.015903
price_ema9_diff : -0.0240375
ema9_ema21_diff : -0.001864
ema21_ema50_diff : 0.00573892
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.349044
kc_percentage : -0.0254992
kc_width_percentage : 0.0509492

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
17 Apr 2025 21:51:30	17 Apr 2025 22:50:00	58 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01558	0.0153	0.01601	1.54	0.01393

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 0.01558
Stop Loss: 0.0153
Take Profit: 0.01601

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.0153 - 0.01558 = -0.00028
Récompense (distance jusqu'au take profit):

E - TP = 0.01558 - 0.01601 = -0.00043
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00043 / -0.00028 = 1.5357

📌 Position Size

Amount	Margin	Quantity	Leverage
437.4083	100	28074.9881	4.37

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 -0.00028

Taille de position = 8 / -0.00028 = -28571.43

Taille de position USD = -28571.43 x 0.01558 = -445.14

Donc, tu peux acheter -28571.43 avec un stoploss a 0.0153

Avec un position size USD de -445.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -28571.43 x -0.00028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -28571.43 x -0.00043 = 12.29

Si Take Profit atteint, tu gagneras 12.29$

Résumé

Taille de position -28571.43
Taille de position USD -445.14
Perte potentielle 8
Gain potentiel 12.29
Risk-Reward Ratio 1.5357

📌 Peformances

TP % Target	TP $ Target
2.76 %	12.07 $

SL % Target	SL $ Target
1.8 %	7.86 $

PNL	PNL %
-7.86 $	-1.80

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.4390243902439 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01601
            [entry_price] => 0.01558
            [stop_loss] => 0.015272
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-17 22:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01601
            [entry_price] => 0.01558
            [stop_loss] => 0.015244
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-17 22:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01601
            [entry_price] => 0.01558
            [stop_loss] => 0.015216
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-17 22:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01601
            [entry_price] => 0.01558
            [stop_loss] => 0.01516
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-17 22:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00018
            [max_drawdown] => 0.00103
            [rr_ratio] => 0.17
            [high] => 0.01576000
            [low] => 0.01455000
            [mfe_pct] => 1.16
            [mae_pct] => 6.61
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T21:51:30-04:00
            [end_at] => 2025-04-17T23:51:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00018
            [max_drawdown] => 0.00123
            [rr_ratio] => 0.15
            [high] => 0.01576000
            [low] => 0.01435000
            [mfe_pct] => 1.16
            [mae_pct] => 7.89
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T21:51:30-04:00
            [end_at] => 2025-04-18T03:51:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01644000
            [high_after] => 0.01576000
            [low_before] => 0.01536000
            [low_after] => 0.01435000
            [is_new_high] => 
            [is_new_low] => 
        )

)