Long Trade on BIO

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Long Trade on BIO 20 Apr 2025 at 17:02:23

Take profit at 0.05309 (1.24 %) and Stop Loss at 0.052 (0.84 %)

Long Trade on BIO

The 20 Apr 2025 at 17:02:23

With 18372.3103 BIO at 0.05244$ per unit.

Position size of 963.444 $

Take profit at 0.05309 (1.24 %) and Stop Loss at 0.052 (0.84 %)

That's a 1.48 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.6

Prediction Score: 0

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: 0.08
atr: 0.0002902919258

Details

score: 2.08
1H
ema9 : 0.0529178
ema21 : 0.0520892
ema50 : 0.0501939
price_ema9_diff : -0.00917397
ema9_ema21_diff : 0.0159067
ema21_ema50_diff : 0.0377612
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.541764
kc_percentage : 0.541191
kc_width_percentage : 0.123889
15m
ema9 : 0.0530569
ema21 : 0.0531555
ema50 : 0.0527516
price_ema9_diff : -0.0116066
ema9_ema21_diff : -0.00185426
ema21_ema50_diff : 0.00765554
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.431334
kc_percentage : 0.209824
kc_width_percentage : 0.0472607
5m
ema9 : 0.0528491
ema21 : 0.0530881
ema50 : 0.053211
price_ema9_diff : -0.00770672
ema9_ema21_diff : -0.00450186
ema21_ema50_diff : -0.00230934
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.370303
kc_percentage : -0.0827688
kc_width_percentage : 0.0208408

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 17:02:23	20 Apr 2025 17:25:00	22 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.05244	0.052	0.05309	1.48	0.02254

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 0.05244
Stop Loss: 0.052
Take Profit: 0.05309

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.052 - 0.05244 = -0.00044
Récompense (distance jusqu'au take profit):

E - TP = 0.05244 - 0.05309 = -0.00065
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00065 / -0.00044 = 1.4773

📌 Position Size

Amount	Margin	Quantity	Leverage
963.444	100	18372.3103	9.63

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 -0.00044

Taille de position = 8 / -0.00044 = -18181.82

Taille de position USD = -18181.82 x 0.05244 = -953.45

Donc, tu peux acheter -18181.82 avec un stoploss a 0.052

Avec un position size USD de -953.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -18181.82 x -0.00044 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -18181.82 x -0.00065 = 11.82

Si Take Profit atteint, tu gagneras 11.82$

Résumé

Taille de position -18181.82
Taille de position USD -953.45
Perte potentielle 8
Gain potentiel 11.82
Risk-Reward Ratio 1.4773

📌 Peformances

TP % Target	TP $ Target
1.24 %	11.94 $

SL % Target	SL $ Target
0.84 %	8.08 $

PNL	PNL %
-8.08 $	-0.84

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.4302059496568 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05309
            [entry_price] => 0.05244
            [stop_loss] => 0.051956
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05309
            [entry_price] => 0.05244
            [stop_loss] => 0.051912
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05309
            [entry_price] => 0.05244
            [stop_loss] => 0.051868
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05309
            [entry_price] => 0.05244
            [stop_loss] => 0.05178
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00039
            [max_drawdown] => 0.00075
            [rr_ratio] => 0.52
            [high] => 0.05283000
            [low] => 0.05169000
            [mfe_pct] => 0.74
            [mae_pct] => 1.43
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T17:02:23-04:00
            [end_at] => 2025-04-20T19:02:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00187
            [max_drawdown] => 0.00095
            [rr_ratio] => 1.97
            [high] => 0.05431000
            [low] => 0.05149000
            [mfe_pct] => 3.57
            [mae_pct] => 1.81
            [mfe_mae_ratio] => 1.97
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T17:02:23-04:00
            [end_at] => 2025-04-20T23:02:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05440000
            [high_after] => 0.05431000
            [low_before] => 0.05232000
            [low_after] => 0.05149000
            [is_new_high] => 
            [is_new_low] => 
        )

)