Long Trade on ONDO

Previous Trade Next Trade

Long Trade on ONDO 09 Apr 2025 at 19:02:17

Take profit at 0.8706 (1.14 %) and Stop Loss at 0.8542 (0.77 %)

Long Trade on ONDO

The 09 Apr 2025 at 19:02:17

With 1218.9838 ONDO at 0.8608$ per unit.

Position size of 1049.3013 $

Take profit at 0.8706 (1.14 %) and Stop Loss at 0.8542 (0.77 %)

That's a 1.48 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.34

Prediction Score:

Prediction 1	Probability
Strong 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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.01
atr: 0.004375228885

Details

score: 2.01
1H
ema9 : 0.839466
ema21 : 0.797873
ema50 : 0.769126
price_ema9_diff : 0.0267378
ema9_ema21_diff : 0.0521305
ema21_ema50_diff : 0.0373756
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.722857
kc_percentage : 1.18229
kc_width_percentage : 0.103256
15m
ema9 : 0.867477
ema21 : 0.856772
ema50 : 0.817406
price_ema9_diff : -0.00779356
ema9_ema21_diff : 0.0124944
ema21_ema50_diff : 0.0481593
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.583045
kc_percentage : 0.565248
kc_width_percentage : 0.0465168
5m
ema9 : 0.865511
ema21 : 0.868907
ema50 : 0.862726
price_ema9_diff : -0.00542214
ema9_ema21_diff : -0.00390878
ema21_ema50_diff : 0.00716493
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.359979
kc_percentage : -0.0121348
kc_width_percentage : 0.018126

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 19:02:17	09 Apr 2025 19:20:00	17 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.8608	0.8542	0.8706	1.48	0.2703

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 0.8608
Stop Loss: 0.8542
Take Profit: 0.8706

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.8542 - 0.8608 = -0.0066000000000001
Récompense (distance jusqu'au take profit):

E - TP = 0.8608 - 0.8706 = -0.0098
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0098 / -0.0066000000000001 = 1.4848

📌 Position Size

Amount	Margin	Quantity	Leverage
1049.3013	100	1218.9838	10.49

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 -0.0066000000000001

Taille de position = 8 / -0.0066000000000001 = -1212.12

Taille de position USD = -1212.12 x 0.8608 = -1043.39

Donc, tu peux acheter -1212.12 avec un stoploss a 0.8542

Avec un position size USD de -1043.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1212.12 x -0.0066000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1212.12 x -0.0098 = 11.88

Si Take Profit atteint, tu gagneras 11.88$

Résumé

Taille de position -1212.12
Taille de position USD -1043.39
Perte potentielle 8
Gain potentiel 11.88
Risk-Reward Ratio 1.4848

📌 Peformances

TP % Target	TP $ Target
1.14 %	11.95 $

SL % Target	SL $ Target
0.77 %	8.05 $

PNL	PNL %
-8.05 $	-0.77

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.0223048327138 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8706
            [entry_price] => 0.8608
            [stop_loss] => 0.85354
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 19:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.8706
            [entry_price] => 0.8608
            [stop_loss] => 0.85288
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 19:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.8706
            [entry_price] => 0.8608
            [stop_loss] => 0.85222
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 19:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.8706
            [entry_price] => 0.8608
            [stop_loss] => 0.8509
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 19:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0125
            [max_drawdown] => 0.0136
            [rr_ratio] => 0.92
            [high] => 0.87330000
            [low] => 0.84720000
            [mfe_pct] => 1.45
            [mae_pct] => 1.58
            [mfe_mae_ratio] => 0.92
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T19:02:17-04:00
            [end_at] => 2025-04-09T21:02:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0212
            [max_drawdown] => 0.0211
            [rr_ratio] => 1
            [high] => 0.88200000
            [low] => 0.83970000
            [mfe_pct] => 2.46
            [mae_pct] => 2.45
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T19:02:17-04:00
            [end_at] => 2025-04-10T01:02:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.88300000
            [high_after] => 0.88200000
            [low_before] => 0.85520000
            [low_after] => 0.83970000
            [is_new_high] => 
            [is_new_low] => 
        )

)