Long Trade on FLM

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Long Trade on FLM 20 Apr 2025 at 17:21:00

Take profit at 0.02229 (2.29 %) and Stop Loss at 0.02146 (1.51 %)

Long Trade on FLM

The 20 Apr 2025 at 17:21:00

With 24086.4524 FLM at 0.02179$ per unit.

Position size of 524.8438 $

Take profit at 0.02229 (2.29 %) and Stop Loss at 0.02146 (1.51 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.59

Prediction Score: 1

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: 0.03
atr: 0.0002214246104

Details

score: 2.03
1H
ema9 : 0.0223746
ema21 : 0.0217082
ema50 : 0.0196901
price_ema9_diff : -0.0269314
ema9_ema21_diff : 0.0306989
ema21_ema50_diff : 0.102493
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.534394
kc_percentage : 0.500764
kc_width_percentage : 0.29251
15m
ema9 : 0.0222308
ema21 : 0.0225049
ema50 : 0.0224332
price_ema9_diff : -0.0195893
ema9_ema21_diff : -0.01218
ema21_ema50_diff : 0.00319663
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.394555
kc_percentage : 0.165727
kc_width_percentage : 0.096298
5m
ema9 : 0.022067
ema21 : 0.0222338
ema50 : 0.0224855
price_ema9_diff : -0.0124596
ema9_ema21_diff : -0.00750388
ema21_ema50_diff : -0.0111948
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.338493
kc_percentage : -0.0344224
kc_width_percentage : 0.0371989

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 17:21:00	20 Apr 2025 17:25:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.02179	0.02146	0.02229	1.52	0.01166

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 0.02179
Stop Loss: 0.02146
Take Profit: 0.02229

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02146 - 0.02179 = -0.00033
Récompense (distance jusqu'au take profit):

E - TP = 0.02179 - 0.02229 = -0.0005
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0005 / -0.00033 = 1.5152

📌 Position Size

Amount	Margin	Quantity	Leverage
524.8438	100	24086.4524	5.25

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 -0.00033

Taille de position = 8 / -0.00033 = -24242.42

Taille de position USD = -24242.42 x 0.02179 = -528.24

Donc, tu peux acheter -24242.42 avec un stoploss a 0.02146

Avec un position size USD de -528.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -24242.42 x -0.00033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -24242.42 x -0.0005 = 12.12

Si Take Profit atteint, tu gagneras 12.12$

Résumé

Taille de position -24242.42
Taille de position USD -528.24
Perte potentielle 8
Gain potentiel 12.12
Risk-Reward Ratio 1.5152

📌 Peformances

TP % Target	TP $ Target
2.29 %	12.04 $

SL % Target	SL $ Target
1.51 %	7.95 $

PNL	PNL %
-7.95 $	-1.51

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-3.4419458467187 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02229
            [entry_price] => 0.02179
            [stop_loss] => 0.021427
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02229
            [entry_price] => 0.02179
            [stop_loss] => 0.021394
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02229
            [entry_price] => 0.02179
            [stop_loss] => 0.021361
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02229
            [entry_price] => 0.02179
            [stop_loss] => 0.021295
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 17:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0003
            [max_drawdown] => 0.00075
            [rr_ratio] => 0.4
            [high] => 0.02209000
            [low] => 0.02104000
            [mfe_pct] => 1.38
            [mae_pct] => 3.44
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T17:21:00-04:00
            [end_at] => 2025-04-20T19:21:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00041
            [max_drawdown] => 0.00091
            [rr_ratio] => 0.45
            [high] => 0.02220000
            [low] => 0.02088000
            [mfe_pct] => 1.88
            [mae_pct] => 4.18
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T17:21:00-04:00
            [end_at] => 2025-04-20T23:21:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02380000
            [high_after] => 0.02220000
            [low_before] => 0.02166000
            [low_after] => 0.02088000
            [is_new_high] => 
            [is_new_low] => 
        )

)