Long Trade on FARTCOIN

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Long Trade on FARTCOIN 05 May 2025 at 16:25:53

Take profit at 1.1282 (0.89 %) and Stop Loss at 1.1117 (0.59 %)

Long Trade on FARTCOIN

The 05 May 2025 at 16:25:53

With 1215.4129 FARTCOIN at 1.1183$ per unit.

Position size of 1359.1963 $

Take profit at 1.1282 (0.89 %) and Stop Loss at 1.1117 (0.59 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 4.25

Prediction Score: 1

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
0	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: 0.05
atr: 0.004388083355

Details

score: 2.05
1H
ema9 : 1.12009
ema21 : 1.11297
ema50 : 1.11252
price_ema9_diff : -0.00161236
ema9_ema21_diff : 0.00639893
ema21_ema50_diff : 0.000405662
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.523088
kc_percentage : 0.560381
kc_width_percentage : 0.0728941
15m
ema9 : 1.12764
ema21 : 1.12468
ema50 : 1.11678
price_ema9_diff : -0.00830625
ema9_ema21_diff : 0.00262485
ema21_ema50_diff : 0.00707973
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.458312
kc_percentage : 0.310262
kc_width_percentage : 0.0318712
5m
ema9 : 1.12283
ema21 : 1.12801
ema50 : 1.12727
price_ema9_diff : -0.00402351
ema9_ema21_diff : -0.00458632
ema21_ema50_diff : 0.000651405
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.30212
kc_percentage : -0.054878
kc_width_percentage : 0.0153041

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
05 May 2025 16:25:53	05 May 2025 16:30:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.1183	1.1117	1.1282	1.5	0.1632

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 1.1183
Stop Loss: 1.1117
Take Profit: 1.1282

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.1117 - 1.1183 = -0.0066000000000002
Récompense (distance jusqu'au take profit):

E - TP = 1.1183 - 1.1282 = -0.0099
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0099 / -0.0066000000000002 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1359.1963	100	1215.4129	13.59

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 -0.0066000000000002

Taille de position = 8 / -0.0066000000000002 = -1212.12

Taille de position USD = -1212.12 x 1.1183 = -1355.51

Donc, tu peux acheter -1212.12 avec un stoploss a 1.1117

Avec un position size USD de -1355.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1212.12 x -0.0066000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1212.12 x -0.0099 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -1212.12
Taille de position USD -1355.51
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.89 %	12.03 $

SL % Target	SL $ Target
0.59 %	8.02 $

PNL	PNL %
-7.29 $	-0.54

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.59033989266549 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.128
            [entry_price] => 1.118
            [stop_loss] => 1.1114
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-05 16:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.128
            [entry_price] => 1.118
            [stop_loss] => 1.1108
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-05 16:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.128
            [entry_price] => 1.118
            [stop_loss] => 1.1102
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-05 16:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.128
            [entry_price] => 1.118
            [stop_loss] => 1.109
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-05 16:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0292
            [max_drawdown] => 0.015
            [rr_ratio] => 1.95
            [high] => 1.14750000
            [low] => 1.10330000
            [mfe_pct] => 2.61
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 1.95
            [candles_analyzed] => 24
            [start_at] => 2025-05-05T16:25:53-04:00
            [end_at] => 2025-05-05T18:25:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0292
            [max_drawdown] => 0.0253
            [rr_ratio] => 1.15
            [high] => 1.14750000
            [low] => 1.09300000
            [mfe_pct] => 2.61
            [mae_pct] => 2.26
            [mfe_mae_ratio] => 1.15
            [candles_analyzed] => 72
            [start_at] => 2025-05-05T16:25:53-04:00
            [end_at] => 2025-05-05T22:25:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.14580000
            [high_after] => 1.14750000
            [low_before] => 1.11350000
            [low_after] => 1.09300000
            [is_new_high] => 1
            [is_new_low] => 
        )

)