Trade

sell - KAITO

Status
loss
2025-03-29 19:03:58
46 minutes
PNL
-0.51
Entry: 1.0535
Last: 1.05890000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: -80
ML Pullback Score: 2.69

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.00359133
Details
  1. score: 1.16
  2. long_trend_details
  3. ema9 - 1.05214
  4. ema21 - 1.07431
  5. ema50 - 1.12569
  6. ema9_ema21_diff - -2.06337
  7. ema21_ema50_diff - -4.56401
  8. ema9_ema50_diff - -6.5332
  9. price_ema21_diff - -1.93747
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
  12. ¸

Short Trade on KAITO

The 29 Mar 2025 at 19:03:58

With 1485.058 KAITO at 1.0535$ per unit.

Position size of 1564.5086 $

Take profit at 1.0454 (0.77 %) and Stop Loss at 1.0589 (0.51 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -17 %

Symbol Start at Seach Score Trade Score Trades Count
ICX 2025-05-06 18:19:00 0.9675 -100 1
BID 2025-07-08 03:19:16 0.9662 -100 2
BID 2025-07-21 19:12:19 0.9667 -100 1
BANANA 2025-04-06 20:36:57 0.9668 -35 2
FET 2025-05-15 09:16:09 0.9658 60 1
REZ 2025-04-06 21:31:28 0.9654 100 1
BGSC 2025-07-02 04:35:53 0.9652 -100 1
MASK 2025-06-13 03:13:03 0.9649 -25 2
NXPC 2025-05-28 18:57:41 0.9644 30 1
SUI 2025-04-06 21:25:36 0.9642 100 2

📌 Time Data

Start at Closed at Duration
29 Mar 2025
19:03:58
29 Mar 2025
19:50:00
46 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0535 1.0589 1.0454 1.5 1.1543
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 1.0535
  • Stop Loss: 1.0589
  • Take Profit: 1.0454

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0589 - 1.0535 = 0.0053999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0535 - 1.0454 = 0.0081

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0081 / 0.0053999999999998 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1564.5086 1564.5086 1485.058 15.65
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 0.0053999999999998

Taille de position = 8 / 0.0053999999999998 = 1481.48

Taille de position USD = 1481.48 x 1.0535 = 1560.74

Donc, tu peux acheter 1481.48 avec un stoploss a 1.0589

Avec un position size USD de 1560.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1481.48 x 0.0053999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1481.48 x 0.0081 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1481.48
  • Taille de position USD 1560.74
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.77 % 12.03 $
SL % Target SL $ Target
0.51 % 8.02 $
PNL PNL %
-8.02 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.67394399620312 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.045
            [entry_price] => 1.053
            [stop_loss] => 1.0596
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.045
            [entry_price] => 1.053
            [stop_loss] => 1.0602
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.045
            [entry_price] => 1.053
            [stop_loss] => 1.0608
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 20:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.045
            [entry_price] => 1.053
            [stop_loss] => 1.062
            [rr_ratio] => 0.89
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 20:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0202
            [max_drawdown] => 0.0070999999999999
            [rr_ratio] => 2.85
            [high] => 1.06060000
            [low] => 1.03330000
            [mfe_pct] => 1.92
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 2.85
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T19:03:58-04:00
            [end_at] => 2025-03-29T21:03:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0202
            [max_drawdown] => 0.0297
            [rr_ratio] => 0.68
            [high] => 1.08320000
            [low] => 1.03330000
            [mfe_pct] => 1.92
            [mae_pct] => 2.82
            [mfe_mae_ratio] => 0.68
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T19:03:58-04:00
            [end_at] => 2025-03-30T01:03:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.05370000
            [high_after] => 1.08320000
            [low_before] => 1.03000000
            [low_after] => 1.03330000
            [is_new_high] => 
            [is_new_low] => 
        )

)