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Trade

buy - TUT

Status
win
2025-03-29 10:14:13
1 hour
PNL
4.42
Entry: 0.0452
Last: 0.04720000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.000875919
Details
  1. score: 2
  2. long_trend_details
  3. ema9 - 0.0462502
  4. ema21 - 0.0439099
  5. ema50 - 0.0387573
  6. ema9_ema21_diff - 5.32971
  7. ema21_ema50_diff - 13.2945
  8. ema9_ema50_diff - 19.3328
  9. price_ema21_diff - 2.93794
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Long Trade on TUT

The 29 Mar 2025 at 10:14:13

With 6089 TUT at 0.0452$ per unit.

Position size of 275.2 $

Take profit at 0.04717 (4.4 %) and Stop Loss at 0.04389 (2.9 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -68.89 %

Symbol Start at Seach Score Trade Score Trades Count
LISTA 2025-04-18 09:14:42 0.9519 -100 3
ZETA 2025-03-26 02:59:15 0.9533 30 2
PUFFER 2025-07-20 09:16:39 0.9482 -100 1
MOVE 2025-07-21 10:08:11 0.947 -100 1
BB 2025-05-18 14:46:59 0.944 -100 2
AVL 2025-03-27 06:09:22 0.9441 -100 2
HFT 2025-07-15 21:46:11 0.9437 -100 1
CKB 2025-07-20 16:15:40 0.9425 50 1
ALPHA 2025-07-05 21:18:19 0.9414 -100 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
10:14:13		 29 Mar 2025
11:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0452 0.04389 0.04717 1.5 0.05864
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 0.0452
  • Stop Loss: 0.04389
  • Take Profit: 0.04717

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04389 - 0.0452 = -0.00131

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0452 - 0.04717 = -0.00197

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00197 / -0.00131 = 1.5038

📌 Position Size

Amount Margin Quantity Leverage
275.2 275.2 6089 2.75
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 -0.00131

Taille de position = 8 / -0.00131 = -6106.87

Taille de position USD = -6106.87 x 0.0452 = -276.03

Donc, tu peux acheter -6106.87 avec un stoploss a 0.04389

Avec un position size USD de -276.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6106.87 x -0.00131 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6106.87 x -0.00197 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position -6106.87
  • Taille de position USD -276.03
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5038

📌 Peformances

TP % Target TP $ Target
4.4 % 12 $
SL % Target SL $ Target
2.9 % 8 $
PNL PNL %
12 $ 4.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.283185840708 % 0 % 0

📌 ML Extra Data

Extra TP Data

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(
    [2] => Array
        (
            [take_profit] => 0.04782
            [stop_loss] => 0.04389
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 12:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.048475
            [stop_loss] => 0.04389
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.04913
            [stop_loss] => 0.04389
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.049785
            [stop_loss] => 0.04389
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.05044
            [stop_loss] => 0.04389
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.051095
            [stop_loss] => 0.04389
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.05175
            [stop_loss] => 0.04389
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.052405
            [stop_loss] => 0.04389
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.05306
            [stop_loss] => 0.04389
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.053715
            [stop_loss] => 0.04389
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.05437
            [stop_loss] => 0.04389
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 12:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)