Trade

buy - VINE

Status

loss

2025-03-29 10:33:49

11 minutes

PNL

-3.85

Entry: 0.03381

Last: 0.03250000

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: 0.37

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.13
atr: 0.000853969

Details

score: 2.13
long_trend_details
ema9 - 0.0358874
ema21 - 0.0331856
ema50 - 0.0300011
ema9_ema21_diff - 8.14143
ema21_ema50_diff - 10.6147
ema9_ema50_diff - 19.6203
price_ema21_diff - 1.88144
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Long Trade on VINE

The 29 Mar 2025 at 10:33:49

With 6245.3477 VINE at 0.03381$ per unit.

Position size of 211.1552 $

Take profit at 0.03573 (5.68 %) and Stop Loss at 0.03253 (3.79 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -9.17 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
DRIFT	2025-06-29 16:56:35	0.9476	53.33	3
LTC	2025-05-07 08:51:10	0.9463	55	2
COMP	2025-07-10 07:18:58	0.9485	-100	1
PENGU	2025-07-11 11:57:02	0.9426	50	1
ONDO	2025-04-10 02:48:04	0.9412	-13.33	3
LISTA	2025-06-10 20:56:55	0.9398	-100	1

📌 Time Data

Start at	Closed at	Duration
29 Mar 2025 10:33:49	29 Mar 2025 10:45:00	11 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03381	0.03253	0.03573	1.5	0.04172

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 0.03381
Stop Loss: 0.03253
Take Profit: 0.03573

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03253 - 0.03381 = -0.00128
Récompense (distance jusqu'au take profit):

E - TP = 0.03381 - 0.03573 = -0.00192
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00192 / -0.00128 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
211.1552	211.1552	6245.3477	2.11

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 -0.00128

Taille de position = 8 / -0.00128 = -6250

Taille de position USD = -6250 x 0.03381 = -211.31

Donc, tu peux acheter -6250 avec un stoploss a 0.03253

Avec un position size USD de -211.31$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6250 x -0.00128 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6250 x -0.00192 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -6250
Taille de position USD -211.31
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
5.68 %	11.99 $

SL % Target	SL $ Target
3.79 %	7.99 $

PNL	PNL %
-8.12 $	-3.85

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-4.2011834319527 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03573
            [entry_price] => 0.03381
            [stop_loss] => 0.032402
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 10:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03573
            [entry_price] => 0.03381
            [stop_loss] => 0.032274
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 11:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03573
            [entry_price] => 0.03381
            [stop_loss] => 0.032146
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 11:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03573
            [entry_price] => 0.03381
            [stop_loss] => 0.03189
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 11:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00066
            [max_drawdown] => 0.00215
            [rr_ratio] => 0.31
            [high] => 0.03447000
            [low] => 0.03166000
            [mfe_pct] => 1.95
            [mae_pct] => 6.36
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T10:33:49-04:00
            [end_at] => 2025-03-29T12:33:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00066
            [max_drawdown] => 0.00328
            [rr_ratio] => 0.2
            [high] => 0.03447000
            [low] => 0.03053000
            [mfe_pct] => 1.95
            [mae_pct] => 9.7
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T10:33:49-04:00
            [end_at] => 2025-03-29T16:33:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03967000
            [high_after] => 0.03447000
            [low_before] => 0.03314000
            [low_after] => 0.03053000
            [is_new_high] => 
            [is_new_low] => 
        )

)