Long Trade on WIF

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Long Trade on WIF 11 Apr 2025 at 18:51:07

Take profit at 0.4009 (0.86 %) and Stop Loss at 0.3952 (0.58 %)

Long Trade on WIF

The 11 Apr 2025 at 18:51:07

With 3537.7481 WIF at 0.3975$ per unit.

Position size of 1406.2549 $

Take profit at 0.4009 (0.86 %) and Stop Loss at 0.3952 (0.58 %)

That's a 1.48 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.37

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: 0.02
atr: 0.001507550316

Details

score: 2.02
1H
ema9 : 0.395819
ema21 : 0.388032
ema50 : 0.375523
price_ema9_diff : 0.00433009
ema9_ema21_diff : 0.0200694
ema21_ema50_diff : 0.0333098
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.657494
kc_percentage : 0.811617
kc_width_percentage : 0.0718488
15m
ema9 : 0.400339
ema21 : 0.398871
ema50 : 0.393272
price_ema9_diff : -0.00711981
ema9_ema21_diff : 0.00368189
ema21_ema50_diff : 0.014237
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.495843
kc_percentage : 0.368903
kc_width_percentage : 0.0299108
5m
ema9 : 0.399078
ema21 : 0.400491
ema50 : 0.399743
price_ema9_diff : -0.00394166
ema9_ema21_diff : -0.00352837
ema21_ema50_diff : 0.00187211
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.365908
kc_percentage : -0.0214655
kc_width_percentage : 0.0142019

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
11 Apr 2025 18:51:07	11 Apr 2025 19:00:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.3975	0.3952	0.4009	1.48	0.2073

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 0.3975
Stop Loss: 0.3952
Take Profit: 0.4009

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.3952 - 0.3975 = -0.0023
Récompense (distance jusqu'au take profit):

E - TP = 0.3975 - 0.4009 = -0.0034
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0034 / -0.0023 = 1.4783

📌 Position Size

Amount	Margin	Quantity	Leverage
1406.2549	100	3537.7481	14.06

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 -0.0023

Taille de position = 8 / -0.0023 = -3478.26

Taille de position USD = -3478.26 x 0.3975 = -1382.61

Donc, tu peux acheter -3478.26 avec un stoploss a 0.3952

Avec un position size USD de -1382.61$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3478.26 x -0.0023 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3478.26 x -0.0034 = 11.83

Si Take Profit atteint, tu gagneras 11.83$

Résumé

Taille de position -3478.26
Taille de position USD -1382.61
Perte potentielle 8
Gain potentiel 11.83
Risk-Reward Ratio 1.4783

📌 Peformances

TP % Target	TP $ Target
0.86 %	12.03 $

SL % Target	SL $ Target
0.58 %	8.14 $

PNL	PNL %
-8.14 $	-0.58

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.80503144654089 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4009
            [entry_price] => 0.3975
            [stop_loss] => 0.39497
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-11 19:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4009
            [entry_price] => 0.3975
            [stop_loss] => 0.39474
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-11 19:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4009
            [entry_price] => 0.3975
            [stop_loss] => 0.39451
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-11 19:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4009
            [entry_price] => 0.3975
            [stop_loss] => 0.39405
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-11 19:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00039999999999996
            [max_drawdown] => 0.0049
            [rr_ratio] => 0.08
            [high] => 0.39790000
            [low] => 0.39260000
            [mfe_pct] => 0.1
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-04-11T18:51:07-04:00
            [end_at] => 2025-04-11T20:51:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0042
            [max_drawdown] => 0.0083
            [rr_ratio] => 0.51
            [high] => 0.40170000
            [low] => 0.38920000
            [mfe_pct] => 1.06
            [mae_pct] => 2.09
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 72
            [start_at] => 2025-04-11T18:51:07-04:00
            [end_at] => 2025-04-12T00:51:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.41050000
            [high_after] => 0.40170000
            [low_before] => 0.39560000
            [low_after] => 0.38920000
            [is_new_high] => 
            [is_new_low] => 
        )

)