Long Trade on BIGTIME

The 26 Apr 2025 at 05:01:23

With 10150.9415 BIGTIME at 0.08216$ per unit.

Position size of 834.0014 $

Take profit at 0.08334 (1.44 %) and Stop Loss at 0.08137 (0.96 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.95

Prediction Score: -0.2147

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: 0.11
atr: 0.0005254028265

Details

score: 2.11
1H
ema9 - 0.0832064
ema21 - 0.0819976
ema50 - 0.0793311
price_ema9_diff - -0.0127614
ema9_ema21_diff - 0.0147418
ema21_ema50_diff - 0.0336123
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.533242
kc_percentage - 0.505733
kc_width_percentage - 0.0997461
15m
ema9 - 0.0833443
ema21 - 0.0838224
ema50 - 0.0832317
price_ema9_diff - -0.0141291
ema9_ema21_diff - -0.00570363
ema21_ema50_diff - 0.00709736
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.393892
kc_percentage - 0.07294
kc_width_percentage - 0.0471187
5m
ema9 - 0.0828636
ema21 - 0.0834741
ema50 - 0.0839584
price_ema9_diff - -0.00842932
ema9_ema21_diff - -0.00731363
ema21_ema50_diff - -0.00576883
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.310425
kc_percentage - -0.107328
kc_width_percentage - 0.0256571

📌 Time Data

Start at	Closed at	Duration
26 Apr 2025 05:01:23	26 Apr 2025 06:20:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.08216	0.08137	0.08334	1.49	0.02118

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 0.08216
Stop Loss: 0.08137
Take Profit: 0.08334

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.08137 - 0.08216 = -0.00079
Récompense (distance jusqu'au take profit):

E - TP = 0.08216 - 0.08334 = -0.00118
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00118 / -0.00079 = 1.4937

📌 Position Size

Amount	Margin	Quantity	Leverage
834.0014	100	10150.9415	8.34

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 -0.00079

Taille de position = 8 / -0.00079 = -10126.58

Taille de position USD = -10126.58 x 0.08216 = -832

Donc, tu peux acheter -10126.58 avec un stoploss a 0.08137

Avec un position size USD de -832$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10126.58 x -0.00079 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10126.58 x -0.00118 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

Taille de position -10126.58
Taille de position USD -832
Perte potentielle 8
Gain potentiel 11.95
Risk-Reward Ratio 1.4937

📌 Peformances

TP % Target	TP $ Target
1.44 %	11.98 $

SL % Target	SL $ Target
0.96 %	8.02 $

PNL	PNL %
-8.02 $	-0.96

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.99805258033106 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08334
            [entry_price] => 0.08216
            [stop_loss] => 0.081291
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-26 07:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08334
            [entry_price] => 0.08216
            [stop_loss] => 0.081212
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-26 07:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08334
            [entry_price] => 0.08216
            [stop_loss] => 0.081133
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-26 07:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08334
            [entry_price] => 0.08216
            [stop_loss] => 0.080975
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-26 07:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00084000000000001
            [max_drawdown] => 0.00082
            [rr_ratio] => 1.02
            [high] => 0.08300000
            [low] => 0.08134000
            [mfe_pct] => 1.02
            [mae_pct] => 1
            [mfe_mae_ratio] => 1.02
            [candles_analyzed] => 24
            [start_at] => 2025-04-26T05:01:23-04:00
            [end_at] => 2025-04-26T07:01:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00084000000000001
            [max_drawdown] => 0.00385
            [rr_ratio] => 0.22
            [high] => 0.08300000
            [low] => 0.07831000
            [mfe_pct] => 1.02
            [mae_pct] => 4.69
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 72
            [start_at] => 2025-04-26T05:01:23-04:00
            [end_at] => 2025-04-26T11:01:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08602000
            [high_after] => 0.08300000
            [low_before] => 0.08172000
            [low_after] => 0.07831000
            [is_new_high] => 
            [is_new_low] => 
        )

)