Trade

buy - STPT

Status

loss

2025-03-27 19:44:28

20 minutes

PNL

-0.95

Entry: 0.05252

Last: 0.05200000

Results

Status:

loss

Trade Type:

buy

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 0.28

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.02
atr: 0.00037417967244805

Details

score: 2.02

Long Trade on STPT

The 27 Mar 2025 at 19:44:28

With 14253.4021 STPT at 0.05252$ per unit.

Position size of 748.5887 $

Take profit at 0.05336 (1.6 %) and Stop Loss at 0.05196 (1.07 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -20.83 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
RENDER	2025-05-01 00:05:12	0.8067	-35	6
RENDER	2025-06-08 18:44:08	0.7986	-100	1
BROCCOLI	2025-07-01 21:05:19	0.8122	40	1
SEI	2025-04-29 01:00:36	0.7982	40	4
HYPE	2025-05-01 11:57:35	0.7883	30	1
ATH	2025-05-27 16:08:08	0.785	-100	1

📌 Time Data

Start at	Closed at	Duration
27 Mar 2025 19:44:28	27 Mar 2025 20:05:00	20 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.05252	0.05196	0.05336	1.5	0.06801

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 0.05252
Stop Loss: 0.05196
Take Profit: 0.05336

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05196 - 0.05252 = -0.00056
Récompense (distance jusqu'au take profit):

E - TP = 0.05252 - 0.05336 = -0.00084
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00084 / -0.00056 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
748.5887	748.5887	14253.4021	7.49

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 -0.00056

Taille de position = 8 / -0.00056 = -14285.71

Taille de position USD = -14285.71 x 0.05252 = -750.29

Donc, tu peux acheter -14285.71 avec un stoploss a 0.05196

Avec un position size USD de -750.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -14285.71 x -0.00056 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -14285.71 x -0.00084 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -14285.71
Taille de position USD -750.29
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.6 %	11.97 $

SL % Target	SL $ Target
1.07 %	7.98 $

PNL	PNL %
-7.13 $	-0.95

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

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05336
            [entry_price] => 0.05252
            [stop_loss] => 0.051904
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05336
            [entry_price] => 0.05252
            [stop_loss] => 0.051848
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05336
            [entry_price] => 0.05252
            [stop_loss] => 0.051792
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05336
            [entry_price] => 0.05252
            [stop_loss] => 0.05168
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 20:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.00216
            [rr_ratio] => 0.23
            [high] => 0.05302000
            [low] => 0.05036000
            [mfe_pct] => 0.95
            [mae_pct] => 4.11
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T19:44:28-04:00
            [end_at] => 2025-03-27T21:44:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.00318
            [rr_ratio] => 0.16
            [high] => 0.05302000
            [low] => 0.04934000
            [mfe_pct] => 0.95
            [mae_pct] => 6.05
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T19:44:28-04:00
            [end_at] => 2025-03-28T01:44:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05398000
            [high_after] => 0.05302000
            [low_before] => 0.05207000
            [low_after] => 0.04934000
            [is_new_high] => 
            [is_new_low] => 
        )

)