Short Trade on ONDO

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Short Trade on ONDO 27 Apr 2025 at 15:31:40

Take profit at 0.9544 (0.72 %) and Stop Loss at 0.9659 (0.48 %)

Short Trade on ONDO

The 27 Apr 2025 at 15:31:40

With 1750.8382 ONDO at 0.9613$ per unit.

Position size of 1683.0808 $

Take profit at 0.9544 (0.72 %) and Stop Loss at 0.9659 (0.48 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -90

ML Pullback Score: 6.29

Prediction Score: 0

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: 0.19
atr: 0.003046159967

Details

score: 1.19
1H
ema9 : 0.954947
ema21 : 0.96328
ema50 : 0.97353
price_ema9_diff : 0.00659461
ema9_ema21_diff : -0.00865089
ema21_ema50_diff : -0.0105286
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.466429
kc_percentage : 0.472848
kc_width_percentage : 0.0485137
15m
ema9 : 0.954162
ema21 : 0.952706
ema50 : 0.956574
price_ema9_diff : 0.00749178
ema9_ema21_diff : 0.00152814
ema21_ema50_diff : -0.00404324
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.614842
kc_percentage : 0.893519
kc_width_percentage : 0.0227737
5m
ema9 : 0.953931
ema21 : 0.95212
ema50 : 0.951185
price_ema9_diff : 0.00773936
ema9_ema21_diff : 0.00190224
ema21_ema50_diff : 0.000982156
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.688773
kc_percentage : 1.19324
kc_width_percentage : 0.0136296

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 15:31:40	27 Apr 2025 17:30:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.9613	0.9659	0.9544	1.5	0.255

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 0.9613
Stop Loss: 0.9659
Take Profit: 0.9544

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.9659 - 0.9613 = 0.0045999999999999
Récompense (distance jusqu'au take profit):

E - TP = 0.9613 - 0.9544 = 0.0069
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0069 / 0.0045999999999999 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1683.0808	100	1750.8382	16.83

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 0.0045999999999999

Taille de position = 8 / 0.0045999999999999 = 1739.13

Taille de position USD = 1739.13 x 0.9613 = 1671.83

Donc, tu peux acheter 1739.13 avec un stoploss a 0.9659

Avec un position size USD de 1671.83$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1739.13 x 0.0045999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1739.13 x 0.0069 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 1739.13
Taille de position USD 1671.83
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.72 %	12.08 $

SL % Target	SL $ Target
0.48 %	8.05 $

PNL	PNL %
-8.05 $	-0.48

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.48892125247061 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9544
            [entry_price] => 0.9613
            [stop_loss] => 0.96636
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 17:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9544
            [entry_price] => 0.9613
            [stop_loss] => 0.96682
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 17:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9544
            [entry_price] => 0.9613
            [stop_loss] => 0.96728
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.9544
            [entry_price] => 0.9613
            [stop_loss] => 0.9682
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 18:15:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0066000000000001
            [max_drawdown] => 0.0058999999999999
            [rr_ratio] => 1.12
            [high] => 0.96720000
            [low] => 0.95470000
            [mfe_pct] => 0.69
            [mae_pct] => 0.61
            [mfe_mae_ratio] => 1.12
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T15:31:40-04:00
            [end_at] => 2025-04-27T17:31:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0417
            [max_drawdown] => 0.006
            [rr_ratio] => 6.95
            [high] => 0.96730000
            [low] => 0.91960000
            [mfe_pct] => 4.34
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 6.95
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T15:31:40-04:00
            [end_at] => 2025-04-27T21:31:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.96150000
            [high_after] => 0.96730000
            [low_before] => 0.94140000
            [low_after] => 0.91960000
            [is_new_high] => 
            [is_new_low] => 1
        )

)