Long Trade on FORTH

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Long Trade on FORTH 08 Apr 2025 at 14:11:57

Take profit at 3.2657 (10.34 %) and Stop Loss at 2.7555 (6.9 %)

Long Trade on FORTH

The 08 Apr 2025 at 14:11:57

With 39.2045 FORTH at 2.9596$ per unit.

Position size of 116.0295 $

Take profit at 3.2657 (10.34 %) and Stop Loss at 2.7555 (6.9 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -80

ML Pullback Score: 1.36

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: 0.08
atr: 0.1360389359

Details

score: 2.08
1H
ema9 : 2.9376
ema21 : 2.67732
ema50 : 2.44764
price_ema9_diff : 0.00821668
ema9_ema21_diff : 0.0972132
ema21_ema50_diff : 0.0938408
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.581655
kc_percentage : 0.698775
kc_width_percentage : 0.455425
15m
ema9 : 3.2598
ema21 : 3.12806
ema50 : 2.82525
price_ema9_diff : -0.0959708
ema9_ema21_diff : 0.0421141
ema21_ema50_diff : 0.107179
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.471057
kc_percentage : 0.309364
kc_width_percentage : 0.323272
5m
ema9 : 3.15611
ema21 : 3.26999
ema50 : 3.19704
price_ema9_diff : -0.0600979
ema9_ema21_diff : -0.0348244
ema21_ema50_diff : 0.0228196
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.333784
kc_percentage : -0.0848992
kc_width_percentage : 0.177147

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
08 Apr 2025 14:11:57	08 Apr 2025 15:50:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.9596	2.7555	3.2657	1.5	0.9785

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 2.9596
Stop Loss: 2.7555
Take Profit: 3.2657

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.7555 - 2.9596 = -0.2041
Récompense (distance jusqu'au take profit):

E - TP = 2.9596 - 3.2657 = -0.3061
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.3061 / -0.2041 = 1.4998

📌 Position Size

Amount	Margin	Quantity	Leverage
116.0295	100	39.2045	1.16

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 -0.2041

Taille de position = 8 / -0.2041 = -39.2

Taille de position USD = -39.2 x 2.9596 = -116.02

Donc, tu peux acheter -39.2 avec un stoploss a 2.7555

Avec un position size USD de -116.02$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -39.2 x -0.2041 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -39.2 x -0.3061 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -39.2
Taille de position USD -116.02
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.4998

📌 Peformances

TP % Target	TP $ Target
10.34 %	12 $

SL % Target	SL $ Target
6.9 %	8 $

PNL	PNL %
-8 $	-6.89

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-7.0675675675676 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.266
            [entry_price] => 2.96
            [stop_loss] => 2.7356
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-08 16:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.266
            [entry_price] => 2.96
            [stop_loss] => 2.7152
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-08 16:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.266
            [entry_price] => 2.96
            [stop_loss] => 2.6948
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-08 19:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 3.266
            [entry_price] => 2.96
            [stop_loss] => 2.654
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-08 19:00:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.1604
            [max_drawdown] => 0.2414
            [rr_ratio] => 0.66
            [high] => 3.12000000
            [low] => 2.71820000
            [mfe_pct] => 5.42
            [mae_pct] => 8.16
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 24
            [start_at] => 2025-04-08T14:11:57-04:00
            [end_at] => 2025-04-08T16:11:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.3404
            [max_drawdown] => 0.2452
            [rr_ratio] => 1.39
            [high] => 3.30000000
            [low] => 2.71440000
            [mfe_pct] => 11.5
            [mae_pct] => 8.28
            [mfe_mae_ratio] => 1.39
            [candles_analyzed] => 72
            [start_at] => 2025-04-08T14:11:57-04:00
            [end_at] => 2025-04-08T20:11:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.17800000
            [high_after] => 3.30000000
            [low_before] => 2.52920000
            [low_after] => 2.71440000
            [is_new_high] => 
            [is_new_low] => 
        )

)