Short Trade on ORDI

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Short Trade on ORDI 13 Apr 2025 at 13:30:55

Take profit at 6.5637 (0.97 %) and Stop Loss at 6.6709 (0.65 %)

Short Trade on ORDI

The 13 Apr 2025 at 13:30:55

With 186.6051 ORDI at 6.628$ per unit.

Position size of 1236.8188 $

Take profit at 6.5637 (0.97 %) and Stop Loss at 6.6709 (0.65 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 3.18

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: 0.25
atr: 0.02858085076

Details

score: 1.25
1H
ema9 : 6.57017
ema21 : 6.67554
ema50 : 6.78786
price_ema9_diff : 0.00866209
ema9_ema21_diff : -0.0157839
ema21_ema50_diff : -0.0165476
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.443074
kc_percentage : 0.406751
kc_width_percentage : 0.0641856
15m
ema9 : 6.54346
ema21 : 6.53328
ema50 : 6.59673
price_ema9_diff : 0.0129398
ema9_ema21_diff : 0.00155739
ema21_ema50_diff : -0.00961849
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.635374
kc_percentage : 0.984697
kc_width_percentage : 0.0297238
5m
ema9 : 6.57625
ema21 : 6.53699
ema50 : 6.52151
price_ema9_diff : 0.00791598
ema9_ema21_diff : 0.00600517
ema21_ema50_diff : 0.00237356
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.685164
kc_percentage : 1.25365
kc_width_percentage : 0.0178451

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
13 Apr 2025 13:30:55	13 Apr 2025 13:40:00	9 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
6.628	6.6709	6.5637	1.5	2.444

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 6.628
Stop Loss: 6.6709
Take Profit: 6.5637

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 6.6709 - 6.628 = 0.042899999999999
Récompense (distance jusqu'au take profit):

E - TP = 6.628 - 6.5637 = 0.0643
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0643 / 0.042899999999999 = 1.4988

📌 Position Size

Amount	Margin	Quantity	Leverage
1236.8188	100	186.6051	12.37

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 0.042899999999999

Taille de position = 8 / 0.042899999999999 = 186.48

Taille de position USD = 186.48 x 6.628 = 1235.99

Donc, tu peux acheter 186.48 avec un stoploss a 6.6709

Avec un position size USD de 1235.99$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 186.48 x 0.042899999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 186.48 x 0.0643 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 186.48
Taille de position USD 1235.99
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.4988

📌 Peformances

TP % Target	TP $ Target
0.97 %	12 $

SL % Target	SL $ Target
0.65 %	8.01 $

PNL	PNL %
-8.02 $	-0.65

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.99577549788775 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
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    [1.1] => Array
        (
            [take_profit] => 6.564
            [entry_price] => 6.628
            [stop_loss] => 6.6753
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-13 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 6.564
            [entry_price] => 6.628
            [stop_loss] => 6.6796
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-13 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 6.564
            [entry_price] => 6.628
            [stop_loss] => 6.6839
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-13 13:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 6.564
            [entry_price] => 6.628
            [stop_loss] => 6.6925
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-13 13:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.019
            [max_drawdown] => 0.241
            [rr_ratio] => 0.08
            [high] => 6.86900000
            [low] => 6.60900000
            [mfe_pct] => 0.29
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-04-13T13:30:55-04:00
            [end_at] => 2025-04-13T15:30:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.448
            [max_drawdown] => 0.241
            [rr_ratio] => 1.86
            [high] => 6.86900000
            [low] => 6.18000000
            [mfe_pct] => 6.76
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 1.86
            [candles_analyzed] => 72
            [start_at] => 2025-04-13T13:30:55-04:00
            [end_at] => 2025-04-13T19:30:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.65800000
            [high_after] => 6.86900000
            [low_before] => 6.43100000
            [low_after] => 6.18000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)