Long Trade on ONDO

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Long Trade on ONDO 10 Apr 2025 at 02:23:12

Take profit at 0.8516 (1.01 %) and Stop Loss at 0.8374 (0.68 %)

Long Trade on ONDO

The 10 Apr 2025 at 02:23:12

With 1414.4853 ONDO at 0.8431$ per unit.

Position size of 1192.5525 $

Take profit at 0.8516 (1.01 %) and Stop Loss at 0.8374 (0.68 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.4

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.01
atr: 0.003770511753

Details

score: 2.01
1H
ema9 : 0.850151
ema21 : 0.825633
ema50 : 0.790272
price_ema9_diff : -0.00854103
ema9_ema21_diff : 0.0296967
ema21_ema50_diff : 0.0447454
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.601152
kc_percentage : 0.695849
kc_width_percentage : 0.093312
15m
ema9 : 0.850817
ema21 : 0.854463
ema50 : 0.844369
price_ema9_diff : -0.00903233
ema9_ema21_diff : -0.00426673
ema21_ema50_diff : 0.011955
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.419573
kc_percentage : 0.160585
kc_width_percentage : 0.0393057
5m
ema9 : 0.848276
ema21 : 0.85061
ema50 : 0.854439
price_ema9_diff : -0.00608616
ema9_ema21_diff : -0.00274323
ema21_ema50_diff : -0.00448138
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.363778
kc_percentage : -0.00741703
kc_width_percentage : 0.0172085

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 02:23:12	10 Apr 2025 02:40:00	16 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.8431	0.8374	0.8516	1.49	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 0.8431
Stop Loss: 0.8374
Take Profit: 0.8516

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.8374 - 0.8431 = -0.0056999999999999
Récompense (distance jusqu'au take profit):

E - TP = 0.8431 - 0.8516 = -0.0085000000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0085000000000001 / -0.0056999999999999 = 1.4912

📌 Position Size

Amount	Margin	Quantity	Leverage
1192.5525	100	1414.4853	11.93

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 -0.0056999999999999

Taille de position = 8 / -0.0056999999999999 = -1403.51

Taille de position USD = -1403.51 x 0.8431 = -1183.3

Donc, tu peux acheter -1403.51 avec un stoploss a 0.8374

Avec un position size USD de -1183.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1403.51 x -0.0056999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1403.51 x -0.0085000000000001 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

Taille de position -1403.51
Taille de position USD -1183.3
Perte potentielle 8
Gain potentiel 11.93
Risk-Reward Ratio 1.4912

📌 Peformances

TP % Target	TP $ Target
1.01 %	12.02 $

SL % Target	SL $ Target
0.68 %	8.06 $

PNL	PNL %
-8.06 $	-0.68

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.77096429842248 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8516
            [entry_price] => 0.8431
            [stop_loss] => 0.83683
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 02:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.8516
            [entry_price] => 0.8431
            [stop_loss] => 0.83626
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 02:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.8516
            [entry_price] => 0.8431
            [stop_loss] => 0.83569
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 02:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.8516
            [entry_price] => 0.8431
            [stop_loss] => 0.83455
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 03:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.0167
            [rr_ratio] => 0.16
            [high] => 0.84570000
            [low] => 0.82640000
            [mfe_pct] => 0.31
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T02:23:12-04:00
            [end_at] => 2025-04-10T04:23:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0076000000000001
            [max_drawdown] => 0.0167
            [rr_ratio] => 0.46
            [high] => 0.85070000
            [low] => 0.82640000
            [mfe_pct] => 0.9
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T02:23:12-04:00
            [end_at] => 2025-04-10T08:23:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.88200000
            [high_after] => 0.85070000
            [low_before] => 0.83970000
            [low_after] => 0.82640000
            [is_new_high] => 
            [is_new_low] => 
        )

)