Long Trade on TURBO

The 26 Apr 2025 at 15:31:09

With 57152.0907 TURBO at 0.00516$ per unit.

Position size of 294.9048 $

Take profit at 0.00537 (4.07 %) and Stop Loss at 0.00502 (2.71 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 90

ML Pullback Score: 6

Prediction Score: -4.5024

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: 0.24
atr: 9.331825427E-5

Details

score: 2.24
1H
ema9 - 0.00526203
ema21 - 0.00500469
ema50 - 0.00469625
price_ema9_diff - -0.0203881
ema9_ema21_diff - 0.0514192
ema21_ema50_diff - 0.0656782
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.563601
kc_percentage - 0.611354
kc_width_percentage - 0.241629
15m
ema9 - 0.00539853
ema21 - 0.00539698
ema50 - 0.00518117
price_ema9_diff - -0.0441986
ema9_ema21_diff - 0.000287545
ema21_ema50_diff - 0.0416532
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.420808
kc_percentage - 0.157772
kc_width_percentage - 0.137458
5m
ema9 - 0.00531886
ema21 - 0.00543637
ema50 - 0.00545313
price_ema9_diff - -0.029222
ema9_ema21_diff - -0.0216158
ema21_ema50_diff - -0.00307319
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.285987
kc_percentage - -0.243401
kc_width_percentage - 0.0707368

📌 Time Data

Start at	Closed at	Duration
26 Apr 2025 15:31:09	26 Apr 2025 17:20:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.00516	0.00502	0.00537	1.5	0.001985

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 0.00516
Stop Loss: 0.00502
Take Profit: 0.00537

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.00502 - 0.00516 = -0.00014
Récompense (distance jusqu'au take profit):

E - TP = 0.00516 - 0.00537 = -0.00021
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00021 / -0.00014 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
294.9048	100	57152.0907	2.95

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 -0.00014

Taille de position = 8 / -0.00014 = -57142.86

Taille de position USD = -57142.86 x 0.00516 = -294.86

Donc, tu peux acheter -57142.86 avec un stoploss a 0.00502

Avec un position size USD de -294.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -57142.86 x -0.00014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -57142.86 x -0.00021 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -57142.86
Taille de position USD -294.86
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
4.07 %	12 $

SL % Target	SL $ Target
2.71 %	8 $

PNL	PNL %
12 $	4.07

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.00544
            [stop_loss] => 0.00502
            [rr_ratio] => 2
            [closed_at] => 2025-04-26 17:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.00551
            [stop_loss] => 0.00502
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-26 17:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.00558
            [stop_loss] => 0.00502
            [rr_ratio] => 3
            [closed_at] => 2025-04-26 17:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.00565
            [stop_loss] => 0.00502
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-26 18:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.00572
            [stop_loss] => 0.00502
            [rr_ratio] => 4
            [closed_at] => 2025-04-26 18:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.00579
            [stop_loss] => 0.00502
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-26 18:35:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000234
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.00539400
            [low] => 0.00518000
            [mfe_pct] => 4.53
            [mae_pct] => -0.39
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-04-26T15:31:09-04:00
            [end_at] => 2025-04-26T17:31:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000636
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.00579600
            [low] => 0.00517000
            [mfe_pct] => 12.33
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-04-26T15:31:09-04:00
            [end_at] => 2025-04-26T21:31:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00596800
            [high_after] => 0.00579600
            [low_before] => 0.00509900
            [low_after] => 0.00517000
            [is_new_high] => 
            [is_new_low] => 
        )

)