Trade

buy - AI16Z

Status

loss

2025-03-26 08:14:31

29 seconds

PNL

-1.45

Entry: 0.2143

Last: 0.21120000

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: 0.04

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.12
atr: 0.0020451997198256

Details

score: 2.12

Long Trade on AI16Z

The 26 Mar 2025 at 08:14:31

With 2607.7323 AI16Z at 0.2143$ per unit.

Position size of 558.837 $

Take profit at 0.2189 (2.15 %) and Stop Loss at 0.2112 (1.45 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: -15 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
HAEDAL	2025-07-16 17:17:15	0.9504	30	1
INIT	2025-07-10 03:36:30	0.949	-35	2
IP	2025-05-08 23:57:25	0.9398	-100	2
GUN	2025-07-03 16:53:41	0.9336	35	2
HIPPO	2025-05-09 08:08:12	0.9351	30	1
ALPINE	2025-05-11 05:03:00	0.9342	-100	2
XLM	2025-07-03 05:01:10	0.9287	30	1
TUT	2025-06-27 22:21:01	0.9285	-100	1
POPCAT	2025-07-22 20:29:46	0.9272	30	1
IOTA	2025-07-13 05:38:30	0.9269	30	1

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 08:14:31	26 Mar 2025 08:15:00	29 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2143	0.2112	0.2189	1.48	0.2068

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 0.2143
Stop Loss: 0.2112
Take Profit: 0.2189

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2112 - 0.2143 = -0.0031
Récompense (distance jusqu'au take profit):

E - TP = 0.2143 - 0.2189 = -0.0046
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0046 / -0.0031 = 1.4839

📌 Position Size

Amount	Margin	Quantity	Leverage
558.837	558.837	2607.7323	5.59

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 -0.0031

Taille de position = 8 / -0.0031 = -2580.65

Taille de position USD = -2580.65 x 0.2143 = -553.03

Donc, tu peux acheter -2580.65 avec un stoploss a 0.2112

Avec un position size USD de -553.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2580.65 x -0.0031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2580.65 x -0.0046 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

Taille de position -2580.65
Taille de position USD -553.03
Perte potentielle 8
Gain potentiel 11.87
Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target	TP $ Target
2.15 %	12 $

SL % Target	SL $ Target
1.45 %	8.08 $

PNL	PNL %
-8.08 $	-1.45

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] => 0.2189
            [entry_price] => 0.2143
            [stop_loss] => 0.21089
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-26 08:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2189
            [entry_price] => 0.2143
            [stop_loss] => 0.21058
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-26 08:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2189
            [entry_price] => 0.2143
            [stop_loss] => 0.21027
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-26 08:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2189
            [entry_price] => 0.2143
            [stop_loss] => 0.20965
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-26 08:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00040000000000001
            [max_drawdown] => 0.0143
            [rr_ratio] => 0.03
            [high] => 0.21470000
            [low] => 0.20000000
            [mfe_pct] => 0.19
            [mae_pct] => 6.67
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T08:14:31-04:00
            [end_at] => 2025-03-26T10:14:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00040000000000001
            [max_drawdown] => 0.0246
            [rr_ratio] => 0.02
            [high] => 0.21470000
            [low] => 0.18970000
            [mfe_pct] => 0.19
            [mae_pct] => 11.48
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T08:14:31-04:00
            [end_at] => 2025-03-26T14:14:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22550000
            [high_after] => 0.21470000
            [low_before] => 0.21210000
            [low_after] => 0.18970000
            [is_new_high] => 
            [is_new_low] => 
        )

)