Short Trade on ONDO

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Short Trade on ONDO 16 Apr 2025 at 10:30:57

Take profit at 0.8183 (0.99 %) and Stop Loss at 0.8319 (0.65 %)

Short Trade on ONDO

The 16 Apr 2025 at 10:30:57

With 1472.2483 ONDO at 0.8265$ per unit.

Position size of 1216.8132 $

Take profit at 0.8183 (0.99 %) and Stop Loss at 0.8319 (0.65 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 2.96

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: 0.03
atr: 0.003622577462

Details

score: 1.03
1H
ema9 : 0.820642
ema21 : 0.829323
ema50 : 0.846846
price_ema9_diff : 0.0070624
ema9_ema21_diff : -0.0104673
ema21_ema50_diff : -0.0206918
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.447623
kc_percentage : 0.455844
kc_width_percentage : 0.0557833
15m
ema9 : 0.81953
ema21 : 0.819249
ema50 : 0.823227
price_ema9_diff : 0.00850735
ema9_ema21_diff : 0.000343329
ema21_ema50_diff : -0.00483221
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.574788
kc_percentage : 0.802656
kc_width_percentage : 0.029224
5m
ema9 : 0.820292
ema21 : 0.818379
ema50 : 0.818357
price_ema9_diff : 0.00758562
ema9_ema21_diff : 0.00233684
ema21_ema50_diff : 2.75805E-5
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.638352
kc_percentage : 1.03315
kc_width_percentage : 0.0182988

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
16 Apr 2025 10:30:57	16 Apr 2025 10:35:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.8265	0.8319	0.8183	1.52	0.2593

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 0.8265
Stop Loss: 0.8319
Take Profit: 0.8183

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.8319 - 0.8265 = 0.0054
Récompense (distance jusqu'au take profit):

E - TP = 0.8265 - 0.8183 = 0.0082
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0082 / 0.0054 = 1.5185

📌 Position Size

Amount	Margin	Quantity	Leverage
1216.8132	100	1472.2483	12.17

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 0.0054

Taille de position = 8 / 0.0054 = 1481.48

Taille de position USD = 1481.48 x 0.8265 = 1224.44

Donc, tu peux acheter 1481.48 avec un stoploss a 0.8319

Avec un position size USD de 1224.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1481.48 x 0.0054 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1481.48 x 0.0082 = 12.15

Si Take Profit atteint, tu gagneras 12.15$

Résumé

Taille de position 1481.48
Taille de position USD 1224.44
Perte potentielle 8
Gain potentiel 12.15
Risk-Reward Ratio 1.5185

📌 Peformances

TP % Target	TP $ Target
0.99 %	12.07 $

SL % Target	SL $ Target
0.65 %	7.95 $

PNL	PNL %
-7.95 $	-0.65

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.81064730792499 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8183
            [entry_price] => 0.8265
            [stop_loss] => 0.83244
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-16 10:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.8183
            [entry_price] => 0.8265
            [stop_loss] => 0.83298
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-16 10:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.8183
            [entry_price] => 0.8265
            [stop_loss] => 0.83352
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-16 10:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.8183
            [entry_price] => 0.8265
            [stop_loss] => 0.8346
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-16 11:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0172
            [rr_ratio] => 0.1
            [high] => 0.84370000
            [low] => 0.82470000
            [mfe_pct] => 0.22
            [mae_pct] => 2.08
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 24
            [start_at] => 2025-04-16T10:30:57-04:00
            [end_at] => 2025-04-16T12:30:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0251
            [max_drawdown] => 0.0172
            [rr_ratio] => 1.46
            [high] => 0.84370000
            [low] => 0.80140000
            [mfe_pct] => 3.04
            [mae_pct] => 2.08
            [mfe_mae_ratio] => 1.46
            [candles_analyzed] => 72
            [start_at] => 2025-04-16T10:30:57-04:00
            [end_at] => 2025-04-16T16:30:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.83050000
            [high_after] => 0.84370000
            [low_before] => 0.81070000
            [low_after] => 0.80140000
            [is_new_high] => 
            [is_new_low] => 1
        )

)