Trade

buy - DOT

Status

loss

2025-05-02 00:48:25

1 hour

PNL

-0.38

Entry: 4.183

Last: 4.16700000

Results

Status:

loss

Trade Type:

buy

Prediction Score: 0

Prediction 1	Probability
	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

ML Trade Score: -60

ML Pullback Score: 3.77

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.44
atr: 0.01042119541

Details

score: 2.44
1H
ema9 - 4.2055
ema21 - 4.18201
ema50 - 4.1616
price_ema9_diff - -0.00538226
ema9_ema21_diff - 0.00561721
ema21_ema50_diff - 0.00490516
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.514252
kc_percentage - 0.496641
kc_width_percentage - 0.0426197
15m
ema9 - 4.21698
ema21 - 4.21676
ema50 - 4.2003
price_ema9_diff - -0.00806027
ema9_ema21_diff - 5.26769E-5
ema21_ema50_diff - 0.00391903
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.407286
kc_percentage - 0.0642376
kc_width_percentage - 0.0187927
5m
ema9 - 4.2081
ema21 - 4.22359
ema50 - 4.22399
price_ema9_diff - -0.00594448
ema9_ema21_diff - -0.00366661
ema21_ema50_diff - -9.57637E-5
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.258194
kc_percentage - -0.444888
kc_width_percentage - 0.0101195

Long Trade on DOT

The 02 May 2025 at 00:48:25

With 511.7775 DOT at 4.183$ per unit.

Position size of 2140.7653 $

Take profit at 4.2064 (0.56 %) and Stop Loss at 4.1674 (0.37 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0 %

Symbol	Start at	Seach Score	Trade Score	Trades Count

📌 Time Data

Start at	Closed at	Duration
02 May 2025 00:48:25	02 May 2025 01:50:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.183	4.1674	4.2064	1.5	3.823

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 4.183
Stop Loss: 4.1674
Take Profit: 4.2064

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.1674 - 4.183 = -0.0156
Récompense (distance jusqu'au take profit):

E - TP = 4.183 - 4.2064 = -0.023400000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.023400000000001 / -0.0156 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2140.7653	100	511.7775	21.41

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 -0.0156

Taille de position = 8 / -0.0156 = -512.82

Taille de position USD = -512.82 x 4.183 = -2145.13

Donc, tu peux acheter -512.82 avec un stoploss a 4.1674

Avec un position size USD de -2145.13$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -512.82 x -0.0156 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -512.82 x -0.023400000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -512.82
Taille de position USD -2145.13
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.56 %	11.98 $

SL % Target	SL $ Target
0.37 %	7.98 $

PNL	PNL %
-8.19 $	-0.38

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.38250059765718 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.206
            [entry_price] => 4.183
            [stop_loss] => 4.1654
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-02 02:20:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 4.206
            [entry_price] => 4.183
            [stop_loss] => 4.1638
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-02 02:20:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 4.206
            [entry_price] => 4.183
            [stop_loss] => 4.1622
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-02 02:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 4.206
            [entry_price] => 4.183
            [stop_loss] => 4.159
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-02 02:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.048
            [max_drawdown] => 0.016
            [rr_ratio] => 3
            [high] => 4.23100000
            [low] => 4.16700000
            [mfe_pct] => 1.15
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 24
            [start_at] => 2025-05-02T00:48:25-04:00
            [end_at] => 2025-05-02T02:48:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.048
            [max_drawdown] => 0.021
            [rr_ratio] => 2.29
            [high] => 4.23100000
            [low] => 4.16200000
            [mfe_pct] => 1.15
            [mae_pct] => 0.5
            [mfe_mae_ratio] => 2.29
            [candles_analyzed] => 72
            [start_at] => 2025-05-02T00:48:25-04:00
            [end_at] => 2025-05-02T06:48:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.28500000
            [high_after] => 4.23100000
            [low_before] => 4.18100000
            [low_after] => 4.16200000
            [is_new_high] => 
            [is_new_low] => 
        )

)