Long Trade on FLOKI

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Long Trade on FLOKI 30 Apr 2025 at 09:07:00

Take profit at 9.016E-5 (2.42 %) and Stop Loss at 8.661E-5 (1.61 %)

Long Trade on FLOKI

The 30 Apr 2025 at 09:07:00

With 5638335.2664 FLOKI at 8.803E-5$ per unit.

Position size of 496.3427 $

Take profit at 9.016E-5 (2.42 %) and Stop Loss at 8.661E-5 (1.61 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.88

Prediction Score: -3.9459

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: 0.12
atr: 9.459056763E-7

Details

score: 2.12
1H
ema9 : 8.84719E-5
ema21 : 8.67742E-5
ema50 : 8.4757E-5
price_ema9_diff : -0.0050928
ema9_ema21_diff : 0.0195642
ema21_ema50_diff : 0.0237994
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.566387
kc_percentage : 0.631793
kc_width_percentage : 0.0993175
15m
ema9 : 9.02802E-5
ema21 : 8.97292E-5
ema50 : 8.77761E-5
price_ema9_diff : -0.0250785
ema9_ema21_diff : 0.00614048
ema21_ema50_diff : 0.0222517
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.435698
kc_percentage : 0.212816
kc_width_percentage : 0.0703864
5m
ema9 : 8.94272E-5
ema21 : 9.03716E-5
ema50 : 9.01092E-5
price_ema9_diff : -0.0154613
ema9_ema21_diff : -0.0104503
ema21_ema50_diff : 0.00291231
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.342891
kc_percentage : -0.115815
kc_width_percentage : 0.0425375

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
30 Apr 2025 09:07:00	30 Apr 2025 09:40:00	33 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
8.803E-5	8.661E-5	9.016E-5	1.5	2.971E-5

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 8.803E-5
Stop Loss: 8.661E-5
Take Profit: 9.016E-5

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 8.661E-5 - 8.803E-5 = -1.42E-6
Récompense (distance jusqu'au take profit):

E - TP = 8.803E-5 - 9.016E-5 = -2.13E-6
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -2.13E-6 / -1.42E-6 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
496.3427	100	5638335.2664	4.96

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 -1.42E-6

Taille de position = 8 / -1.42E-6 = -5633802.82

Taille de position USD = -5633802.82 x 8.803E-5 = -495.94

Donc, tu peux acheter -5633802.82 avec un stoploss a 8.661E-5

Avec un position size USD de -495.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5633802.82 x -1.42E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5633802.82 x -2.13E-6 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -5633802.82
Taille de position USD -495.94
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.42 %	12.01 $

SL % Target	SL $ Target
1.61 %	8.01 $

PNL	PNL %
-8.01 $	-1.61

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.8857207770078 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.016E-5
            [entry_price] => 8.803E-5
            [stop_loss] => 8.6468E-5
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-30 09:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.016E-5
            [entry_price] => 8.803E-5
            [stop_loss] => 8.6326E-5
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-30 09:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 9.016E-5
            [entry_price] => 8.803E-5
            [stop_loss] => 8.6184E-5
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-30 09:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 9.016E-5
            [entry_price] => 8.803E-5
            [stop_loss] => 8.59E-5
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-30 09:55:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.13E-6
            [max_drawdown] => 3.11E-6
            [rr_ratio] => 0.36
            [high] => 0.00008916
            [low] => 0.00008492
            [mfe_pct] => 1.28
            [mae_pct] => 3.53
            [mfe_mae_ratio] => 0.36
            [candles_analyzed] => 24
            [start_at] => 2025-04-30T09:07:00-04:00
            [end_at] => 2025-04-30T11:07:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.04E-6
            [max_drawdown] => 3.11E-6
            [rr_ratio] => 0.98
            [high] => 0.00009107
            [low] => 0.00008492
            [mfe_pct] => 3.45
            [mae_pct] => 3.53
            [mfe_mae_ratio] => 0.98
            [candles_analyzed] => 72
            [start_at] => 2025-04-30T09:07:00-04:00
            [end_at] => 2025-04-30T15:07:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00009477
            [high_after] => 0.00009107
            [low_before] => 0.00008713
            [low_after] => 0.00008492
            [is_new_high] => 
            [is_new_low] => 
        )

)