Short Trade on ONDO

Previous Trade Next Trade

Short Trade on ONDO 04 May 2025 at 16:19:03

Take profit at 0.8588 (0.54 %) and Stop Loss at 0.8666 (0.36 %)

Short Trade on ONDO

The 04 May 2025 at 16:19:03

With 2566.7317 ONDO at 0.8635$ per unit.

Position size of 2216.3728 $

Take profit at 0.8588 (0.54 %) and Stop Loss at 0.8666 (0.36 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 3.62

Prediction Score: 0

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: 0.01
atr: 0.002077869418

Details

score: 1.01
1H
ema9 : 0.861952
ema21 : 0.867526
ema50 : 0.879866
price_ema9_diff : 0.00178329
ema9_ema21_diff : -0.00642514
ema21_ema50_diff : -0.0140238
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.441591
kc_percentage : 0.40395
kc_width_percentage : 0.0425375
15m
ema9 : 0.859853
ema21 : 0.8601
ema50 : 0.863224
price_ema9_diff : 0.0042394
ema9_ema21_diff : -0.000286785
ema21_ema50_diff : -0.00361918
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.545612
kc_percentage : 0.717382
kc_width_percentage : 0.018556
5m
ema9 : 0.860864
ema21 : 0.859361
ema50 : 0.859553
price_ema9_diff : 0.00306676
ema9_ema21_diff : 0.00174855
ema21_ema50_diff : -0.000222851
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.629445
kc_percentage : 1.01352
kc_width_percentage : 0.0092152

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 16:19:03	04 May 2025 16:25:00	5 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.8635	0.8666	0.8588	1.52	0.272

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 0.8635
Stop Loss: 0.8666
Take Profit: 0.8588

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.8666 - 0.8635 = 0.0031
Récompense (distance jusqu'au take profit):

E - TP = 0.8635 - 0.8588 = 0.0047
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0047 / 0.0031 = 1.5161

📌 Position Size

Amount	Margin	Quantity	Leverage
2216.3728	100	2566.7317	22.16

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 0.0031

Taille de position = 8 / 0.0031 = 2580.65

Taille de position USD = 2580.65 x 0.8635 = 2228.39

Donc, tu peux acheter 2580.65 avec un stoploss a 0.8666

Avec un position size USD de 2228.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2580.65 x 0.0031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2580.65 x 0.0047 = 12.13

Si Take Profit atteint, tu gagneras 12.13$

Résumé

Taille de position 2580.65
Taille de position USD 2228.39
Perte potentielle 8
Gain potentiel 12.13
Risk-Reward Ratio 1.5161

📌 Peformances

TP % Target	TP $ Target
0.54 %	12.06 $

SL % Target	SL $ Target
0.36 %	7.96 $

PNL	PNL %
-7.96 $	-0.36

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.57903879559931 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8588
            [entry_price] => 0.8635
            [stop_loss] => 0.86691
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 16:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.8588
            [entry_price] => 0.8635
            [stop_loss] => 0.86722
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 16:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.8588
            [entry_price] => 0.8635
            [stop_loss] => 0.86753
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 16:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.8588
            [entry_price] => 0.8635
            [stop_loss] => 0.86815
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 16:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0061
            [max_drawdown] => 0.005
            [rr_ratio] => 1.22
            [high] => 0.86850000
            [low] => 0.85740000
            [mfe_pct] => 0.71
            [mae_pct] => 0.58
            [mfe_mae_ratio] => 1.22
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T16:19:03-04:00
            [end_at] => 2025-05-04T18:19:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0114
            [max_drawdown] => 0.0106
            [rr_ratio] => 1.08
            [high] => 0.87410000
            [low] => 0.85210000
            [mfe_pct] => 1.32
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 1.08
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T16:19:03-04:00
            [end_at] => 2025-05-04T22:19:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.86550000
            [high_after] => 0.87410000
            [low_before] => 0.85240000
            [low_after] => 0.85210000
            [is_new_high] => 
            [is_new_low] => 1
        )

)