Short Trade on ONDO

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Short Trade on ONDO 27 Apr 2025 at 15:49:56

Take profit at 0.9539 (0.71 %) and Stop Loss at 0.9652 (0.47 %)

Short Trade on ONDO

The 27 Apr 2025 at 15:49:56

With 1770.0718 ONDO at 0.9607$ per unit.

Position size of 1700.5079 $

Take profit at 0.9539 (0.71 %) and Stop Loss at 0.9652 (0.47 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -90

ML Pullback Score: 6.11

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: 0.01
atr: 0.003013060525

Details

score: 1.01
1H
ema9 : 0.954827
ema21 : 0.963226
ema50 : 0.973507
price_ema9_diff : 0.00609666
ema9_ema21_diff : -0.00871934
ema21_ema50_diff : -0.0105607
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.462966
kc_percentage : 0.46157
kc_width_percentage : 0.049002
15m
ema9 : 0.955262
ema21 : 0.953325
ema50 : 0.956687
price_ema9_diff : 0.00570422
ema9_ema21_diff : 0.00203093
ema21_ema50_diff : -0.00351341
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.608716
kc_percentage : 0.842514
kc_width_percentage : 0.0223786
5m
ema9 : 0.956879
ema21 : 0.954036
ema50 : 0.952216
price_ema9_diff : 0.0040049
ema9_ema21_diff : 0.0029791
ema21_ema50_diff : 0.00191227
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.668393
kc_percentage : 1.01489
kc_width_percentage : 0.0131553

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 15:49:56	27 Apr 2025 17:25:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.9607	0.9652	0.9539	1.51	0.2539

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 0.9607
Stop Loss: 0.9652
Take Profit: 0.9539

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.9652 - 0.9607 = 0.0044999999999999
Récompense (distance jusqu'au take profit):

E - TP = 0.9607 - 0.9539 = 0.0068
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0068 / 0.0044999999999999 = 1.5111

📌 Position Size

Amount	Margin	Quantity	Leverage
1700.5079	100	1770.0718	17.01

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 0.0044999999999999

Taille de position = 8 / 0.0044999999999999 = 1777.78

Taille de position USD = 1777.78 x 0.9607 = 1707.91

Donc, tu peux acheter 1777.78 avec un stoploss a 0.9652

Avec un position size USD de 1707.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1777.78 x 0.0044999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1777.78 x 0.0068 = 12.09

Si Take Profit atteint, tu gagneras 12.09$

Résumé

Taille de position 1777.78
Taille de position USD 1707.91
Perte potentielle 8
Gain potentiel 12.09
Risk-Reward Ratio 1.5111

📌 Peformances

TP % Target	TP $ Target
0.71 %	12.04 $

SL % Target	SL $ Target
0.47 %	7.97 $

PNL	PNL %
-7.97 $	-0.47

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.46840845217029 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9539
            [entry_price] => 0.9607
            [stop_loss] => 0.96565
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 17:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9539
            [entry_price] => 0.9607
            [stop_loss] => 0.9661
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 17:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9539
            [entry_price] => 0.9607
            [stop_loss] => 0.96655
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 17:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.9539
            [entry_price] => 0.9607
            [stop_loss] => 0.96745
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 18:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.006
            [max_drawdown] => 0.0066000000000001
            [rr_ratio] => 0.91
            [high] => 0.96730000
            [low] => 0.95470000
            [mfe_pct] => 0.62
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T15:49:56-04:00
            [end_at] => 2025-04-27T17:49:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0457
            [max_drawdown] => 0.0066000000000001
            [rr_ratio] => 6.92
            [high] => 0.96730000
            [low] => 0.91500000
            [mfe_pct] => 4.76
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 6.92
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T15:49:56-04:00
            [end_at] => 2025-04-27T21:49:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.96260000
            [high_after] => 0.96730000
            [low_before] => 0.94140000
            [low_after] => 0.91500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)