Short Trade on ORDI

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Short Trade on ORDI 15 Apr 2025 at 23:30:55

Take profit at 6.2206 (0.8 %) and Stop Loss at 6.3046 (0.54 %)

Short Trade on ORDI

The 15 Apr 2025 at 23:30:55

With 237.8921 ORDI at 6.271$ per unit.

Position size of 1491.8214 $

Take profit at 6.2206 (0.8 %) and Stop Loss at 6.3046 (0.54 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 5.36

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.05
atr: 0.02241912745

Details

score: 1.05
1H
ema9 : 6.21639
ema21 : 6.27579
ema50 : 6.39966
price_ema9_diff : 0.00870103
ema9_ema21_diff : -0.00946497
ema21_ema50_diff : -0.0193563
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.470429
kc_percentage : 0.50091
kc_width_percentage : 0.0607514
15m
ema9 : 6.22512
ema21 : 6.20309
ema50 : 6.22925
price_ema9_diff : 0.00739565
ema9_ema21_diff : 0.00355199
ema21_ema50_diff : -0.00420069
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.623198
kc_percentage : 0.912746
kc_width_percentage : 0.0260487
5m
ema9 : 6.2463
ema21 : 6.22123
ema50 : 6.19823
price_ema9_diff : 0.00396988
ema9_ema21_diff : 0.00402874
ema21_ema50_diff : 0.00371166
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.683719
kc_percentage : 1.0511
kc_width_percentage : 0.0139701

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
15 Apr 2025 23:30:55	15 Apr 2025 23:45:00	14 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
6.271	6.3046	6.2206	1.5	2.584

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 6.271
Stop Loss: 6.3046
Take Profit: 6.2206

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 6.3046 - 6.271 = 0.0336
Récompense (distance jusqu'au take profit):

E - TP = 6.271 - 6.2206 = 0.0504
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0504 / 0.0336 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1491.8214	100	237.8921	14.92

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 0.0336

Taille de position = 8 / 0.0336 = 238.1

Taille de position USD = 238.1 x 6.271 = 1493.13

Donc, tu peux acheter 238.1 avec un stoploss a 6.3046

Avec un position size USD de 1493.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 238.1 x 0.0336 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 238.1 x 0.0504 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 238.1
Taille de position USD 1493.13
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.8 %	11.99 $

SL % Target	SL $ Target
0.54 %	7.99 $

PNL	PNL %
-8.09 $	-0.54

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.57407112103334 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 6.221
            [entry_price] => 6.271
            [stop_loss] => 6.3084
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-15 23:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 6.221
            [entry_price] => 6.271
            [stop_loss] => 6.3118
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-15 23:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 6.221
            [entry_price] => 6.271
            [stop_loss] => 6.3152
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-15 23:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 6.221
            [entry_price] => 6.271
            [stop_loss] => 6.322
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-15 23:55:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.209
            [max_drawdown] => 0.105
            [rr_ratio] => 1.99
            [high] => 6.37600000
            [low] => 6.06200000
            [mfe_pct] => 3.33
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 1.99
            [candles_analyzed] => 24
            [start_at] => 2025-04-15T23:30:55-04:00
            [end_at] => 2025-04-16T01:30:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.31
            [max_drawdown] => 0.105
            [rr_ratio] => 2.95
            [high] => 6.37600000
            [low] => 5.96100000
            [mfe_pct] => 4.94
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 2.95
            [candles_analyzed] => 72
            [start_at] => 2025-04-15T23:30:55-04:00
            [end_at] => 2025-04-16T05:30:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.28200000
            [high_after] => 6.37600000
            [low_before] => 6.08000000
            [low_after] => 5.96100000
            [is_new_high] => 
            [is_new_low] => 1
        )

)