Short Trade on ICP

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Short Trade on ICP 03 May 2025 at 16:00:39

Take profit at 4.7457 (0.55 %) and Stop Loss at 4.7895 (0.37 %)

Short Trade on ICP

The 03 May 2025 at 16:00:39

With 455.9003 ICP at 4.772$ per unit.

Position size of 2175.5561 $

Take profit at 4.7457 (0.55 %) and Stop Loss at 4.7895 (0.37 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 90

ML Pullback Score: 6.98

Prediction Score: -1.3458

Prediction 1	Probability
Weak 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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.03
atr: 0.01169846491

Details

score: 1.03
1H
ema9 : 4.76888
ema21 : 4.8166
ema50 : 4.87544
price_ema9_diff : 0.00064599
ema9_ema21_diff : -0.00990721
ema21_ema50_diff : -0.0120687
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.403093
kc_percentage : 0.278861
kc_width_percentage : 0.0389658
15m
ema9 : 4.74928
ema21 : 4.74858
ema50 : 4.78337
price_ema9_diff : 0.00478428
ema9_ema21_diff : 0.000147176
ema21_ema50_diff : -0.00727286
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.546987
kc_percentage : 0.749881
kc_width_percentage : 0.0202854
5m
ema9 : 4.765
ema21 : 4.74821
ema50 : 4.74195
price_ema9_diff : 0.00147302
ema9_ema21_diff : 0.00353552
ema21_ema50_diff : 0.0013214
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.631418
kc_percentage : 1.03276
kc_width_percentage : 0.00899717

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 16:00:39	03 May 2025 16:35:00	34 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.772	4.7895	4.7457	1.5	2.479

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 4.772
Stop Loss: 4.7895
Take Profit: 4.7457

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.7895 - 4.772 = 0.0175
Récompense (distance jusqu'au take profit):

E - TP = 4.772 - 4.7457 = 0.0263
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0263 / 0.0175 = 1.5029

📌 Position Size

Amount	Margin	Quantity	Leverage
2175.5561	100	455.9003	21.76

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 0.0175

Taille de position = 8 / 0.0175 = 457.14

Taille de position USD = 457.14 x 4.772 = 2181.47

Donc, tu peux acheter 457.14 avec un stoploss a 4.7895

Avec un position size USD de 2181.47$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 457.14 x 0.0175 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 457.14 x 0.0263 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position 457.14
Taille de position USD 2181.47
Perte potentielle 8
Gain potentiel 12.02
Risk-Reward Ratio 1.5029

📌 Peformances

TP % Target	TP $ Target
0.55 %	11.99 $

SL % Target	SL $ Target
0.37 %	7.98 $

PNL	PNL %
11.85 $	0.54

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

📌 ML Extra Data

Extra TP Data


                              Array
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    [2] => Array
        (
            [take_profit] => 4.736
            [stop_loss] => 4.79
            [rr_ratio] => 2
            [closed_at] => 2025-05-03 17:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 4.727
            [stop_loss] => 4.79
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-03 17:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 4.718
            [stop_loss] => 4.79
            [rr_ratio] => 3
            [closed_at] => 2025-05-03 19:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 4.709
            [stop_loss] => 4.79
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-03 20:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 4.7
            [stop_loss] => 4.79
            [rr_ratio] => 4
            [closed_at] => 2025-05-03 20:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 4.691
            [stop_loss] => 4.79
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-03 20:35:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.047000000000001
            [max_drawdown] => 0.011
            [rr_ratio] => 4.27
            [high] => 4.78300000
            [low] => 4.72500000
            [mfe_pct] => 0.98
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 4.27
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T16:00:39-04:00
            [end_at] => 2025-05-03T18:00:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.086
            [max_drawdown] => 0.011
            [rr_ratio] => 7.82
            [high] => 4.78300000
            [low] => 4.68600000
            [mfe_pct] => 1.8
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 7.82
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T16:00:39-04:00
            [end_at] => 2025-05-03T22:00:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.78000000
            [high_after] => 4.78300000
            [low_before] => 4.65100000
            [low_after] => 4.68600000
            [is_new_high] => 
            [is_new_low] => 
        )

)