Long Trade on FARTCOIN

Previous Trade Next Trade

Long Trade on FARTCOIN 05 May 2025 at 16:31:53

Take profit at 1.1239 (0.92 %) and Stop Loss at 1.1069 (0.61 %)

Long Trade on FARTCOIN

The 05 May 2025 at 16:31:53

With 1178.5355 FARTCOIN at 1.1137$ per unit.

Position size of 1312.5349 $

Take profit at 1.1239 (0.92 %) and Stop Loss at 1.1069 (0.61 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 5.58

Prediction Score: 1

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
1	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: 0.21
atr: 0.004525390619

Details

score: 2.21
1H
ema9 : 1.11917
ema21 : 1.11255
ema50 : 1.11234
price_ema9_diff : -0.00492067
ema9_ema21_diff : 0.00595029
ema21_ema50_diff : 0.000191954
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.508957
kc_percentage : 0.509326
kc_width_percentage : 0.0731951
15m
ema9 : 1.12482
ema21 : 1.12367
ema50 : 1.11665
price_ema9_diff : -0.0098975
ema9_ema21_diff : 0.00102107
ema21_ema50_diff : 0.00628607
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.420624
kc_percentage : 0.199533
kc_width_percentage : 0.0306702
5m
ema9 : 1.12097
ema21 : 1.12669
ema50 : 1.12668
price_ema9_diff : -0.00646036
ema9_ema21_diff : -0.00507264
ema21_ema50_diff : 6.8708E-6
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.254474
kc_percentage : -0.210945
kc_width_percentage : 0.016086

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
05 May 2025 16:31:53	05 May 2025 16:35:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.1137	1.1069	1.1239	1.5	0.163

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 1.1137
Stop Loss: 1.1069
Take Profit: 1.1239

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.1069 - 1.1137 = -0.0067999999999999
Récompense (distance jusqu'au take profit):

E - TP = 1.1137 - 1.1239 = -0.0102
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0102 / -0.0067999999999999 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1312.5349	100	1178.5355	13.13

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 -0.0067999999999999

Taille de position = 8 / -0.0067999999999999 = -1176.47

Taille de position USD = -1176.47 x 1.1137 = -1310.23

Donc, tu peux acheter -1176.47 avec un stoploss a 1.1069

Avec un position size USD de -1310.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1176.47 x -0.0067999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1176.47 x -0.0102 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -1176.47
Taille de position USD -1310.23
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.92 %	12.02 $

SL % Target	SL $ Target
0.61 %	8.01 $

PNL	PNL %
-8.25 $	-0.63

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.96050269299822 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.124
            [entry_price] => 1.114
            [stop_loss] => 1.1063
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-05 16:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.124
            [entry_price] => 1.114
            [stop_loss] => 1.1056
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-05 16:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.124
            [entry_price] => 1.114
            [stop_loss] => 1.1049
            [rr_ratio] => 1.1
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-05 16:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.124
            [entry_price] => 1.114
            [stop_loss] => 1.1035
            [rr_ratio] => 0.95
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-05 16:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0338
            [max_drawdown] => 0.0104
            [rr_ratio] => 3.25
            [high] => 1.14750000
            [low] => 1.10330000
            [mfe_pct] => 3.03
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 3.25
            [candles_analyzed] => 24
            [start_at] => 2025-05-05T16:31:53-04:00
            [end_at] => 2025-05-05T18:31:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0338
            [max_drawdown] => 0.0207
            [rr_ratio] => 1.63
            [high] => 1.14750000
            [low] => 1.09300000
            [mfe_pct] => 3.03
            [mae_pct] => 1.86
            [mfe_mae_ratio] => 1.63
            [candles_analyzed] => 72
            [start_at] => 2025-05-05T16:31:53-04:00
            [end_at] => 2025-05-05T22:31:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.14580000
            [high_after] => 1.14750000
            [low_before] => 1.10390000
            [low_after] => 1.09300000
            [is_new_high] => 1
            [is_new_low] => 
        )

)