Trade

sell - API3

Status

loss

2025-03-30 15:13:38

11 minutes

PNL

-0.66

Entry: 1.0957

Last: 1.10290000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 0.39

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.09
atr: 0.00477385

Details

score: 1.09
long_trend_details
ema9 - 1.08671
ema21 - 1.09836
ema50 - 1.12565
ema9_ema21_diff - -1.06042
ema21_ema50_diff - -2.42448
ema9_ema50_diff - -3.45919
price_ema21_diff - -0.242345
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Short Trade on API3

The 30 Mar 2025 at 15:13:38

With 1117.1975 API3 at 1.0957$ per unit.

Position size of 1224.1133 $

Take profit at 1.085 (0.98 %) and Stop Loss at 1.1029 (0.66 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -20.91 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
BGB	2025-04-28 02:43:43	0.7565	-100	2
FARTCOIN	2025-05-07 17:26:22	0.7563	-100	1
TAIKO	2025-07-07 15:25:16	0.7558	50	1
INJ	2025-07-07 15:30:14	0.7539	60	1
ENS	2025-04-28 02:28:01	0.7449	-100	2
FET	2025-07-07 15:29:46	0.7513	50	1
UNI	2025-04-28 02:33:27	0.7448	-100	2
SUI	2025-04-30 14:12:19	0.7417	30	1
ARK	2025-07-22 06:01:28	0.7391	40	1
MOVE	2025-07-09 01:41:34	0.7375	40	1
LAYER	2025-05-28 18:50:40	0.7372	-100	1

📌 Time Data

Start at	Closed at	Duration
30 Mar 2025 15:13:38	30 Mar 2025 15:25:00	11 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.0957	1.1029	1.085	1.49	0.7771

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 1.0957
Stop Loss: 1.1029
Take Profit: 1.085

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.1029 - 1.0957 = 0.0072000000000001
Récompense (distance jusqu'au take profit):

E - TP = 1.0957 - 1.085 = 0.0107
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0107 / 0.0072000000000001 = 1.4861

📌 Position Size

Amount	Margin	Quantity	Leverage
1224.1133	1224.1133	1117.1975	12.24

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 0.0072000000000001

Taille de position = 8 / 0.0072000000000001 = 1111.11

Taille de position USD = 1111.11 x 1.0957 = 1217.44

Donc, tu peux acheter 1111.11 avec un stoploss a 1.1029

Avec un position size USD de 1217.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1111.11 x 0.0072000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1111.11 x 0.0107 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

Taille de position 1111.11
Taille de position USD 1217.44
Perte potentielle 8
Gain potentiel 11.89
Risk-Reward Ratio 1.4861

📌 Peformances

TP % Target	TP $ Target
0.98 %	11.95 $

SL % Target	SL $ Target
0.66 %	8.04 $

PNL	PNL %
-8.04 $	-0.66

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.104316875057 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.085
            [entry_price] => 1.096
            [stop_loss] => 1.1037
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-30 15:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.085
            [entry_price] => 1.096
            [stop_loss] => 1.1044
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-30 15:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.085
            [entry_price] => 1.096
            [stop_loss] => 1.1051
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-30 15:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.085
            [entry_price] => 1.096
            [stop_loss] => 1.1065
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-30 15:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0207
            [max_drawdown] => 0.0727
            [rr_ratio] => 0.28
            [high] => 1.16840000
            [low] => 1.07500000
            [mfe_pct] => 1.89
            [mae_pct] => 6.64
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 24
            [start_at] => 2025-03-30T15:13:38-04:00
            [end_at] => 2025-03-30T17:13:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0207
            [max_drawdown] => 0.0727
            [rr_ratio] => 0.28
            [high] => 1.16840000
            [low] => 1.07500000
            [mfe_pct] => 1.89
            [mae_pct] => 6.64
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 72
            [start_at] => 2025-03-30T15:13:38-04:00
            [end_at] => 2025-03-30T21:13:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.10720000
            [high_after] => 1.16840000
            [low_before] => 1.06240000
            [low_after] => 1.07500000
            [is_new_high] => 
            [is_new_low] => 
        )

)