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Trade

buy - ZRO

Status
win
2025-05-10 21:52:29
42 minutes
PNL
1.56
Entry: 3.015
Last: 3.06200000

Results

Status:
win
Trade Type:
buy
Prediction Score: -2.7358
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
1 n/a
Prediction 3 Probability
n/a
ML Trade Score: 50
ML Pullback Score: 4.37

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.02071982654
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 3.03339
  4. ema21 - 3.00462
  5. ema50 - 2.92278
  6. price_ema9_diff - -0.00612204
  7. ema9_ema21_diff - 0.00957574
  8. ema21_ema50_diff - 0.0280005
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.529894
  12. kc_percentage - 0.532197
  13. kc_width_percentage - 0.0841534
    14. ¸
  14. 15m
  15. ema9 - 3.05594
  16. ema21 - 3.04979
  17. ema50 - 3.02543
  18. price_ema9_diff - -0.0134247
  19. ema9_ema21_diff - 0.0020169
  20. ema21_ema50_diff - 0.00805166
  21. all_emas_in_trend - True
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.442174
  24. kc_percentage - 0.231971
  25. kc_width_percentage - 0.0444245
    26. ¸
  26. 5m
  27. ema9 - 3.0479
  28. ema21 - 3.05978
  29. ema50 - 3.05905
  30. price_ema9_diff - -0.0107536
  31. ema9_ema21_diff - -0.00388382
  32. ema21_ema50_diff - 0.000240751
  33. all_emas_in_trend - False
  34. all_emas_and_price_in_trend - False
  35. rsi - 0.364121
  36. kc_percentage - -0.0423146
  37. kc_width_percentage - 0.0270429
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 103889
  41. 5m_price_ema100_diff: 0.00162402
  42. 5m_price: 104058
  43. 5m_correlation_with_coin: 0.727999
  44. btc_indicators
  45. 15m_ema100: 103526
  46. 15m_price_ema100_diff: 0.00513462
  47. 15m_price: 104058
  48. btc_indicators
  49. 1H_ema100: 101337
  50. 1H_price_ema100_diff: 0.0268512
  51. 1H_price: 104058
    52. ¸

Long Trade on ZRO

The 10 May 2025 at 21:52:29

With 257.4024 ZRO at 3.015$ per unit.

Position size of 776.0683 $

Take profit at 3.0616 (1.55 %) and Stop Loss at 2.9839 (1.03 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -23.75 %

Symbol Start at Seach Score Trade Score Trades Count
BGB 2025-04-20 03:01:42 0.9146 -100 3
NEAR 2025-04-20 18:26:00 0.9105 100 1
SYRUP 2025-08-05 23:19:42 0.9025 -100 3
GRIFFAIN 2025-03-26 08:39:30 0.9003 -100 2
AAVE 2025-04-26 22:51:00 0.8989 -100 1
TRB 2025-06-29 22:02:06 0.8987 40 1
FET 2025-04-30 23:54:58 0.8956 40 1
TRX 2025-05-10 22:00:33 0.8949 30 2

📌 Time Data

Start at Closed at Duration
10 May 2025
21:52:29		 10 May 2025
22:35:00		 42 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.015 2.9839 3.0616 1.5 2.117
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 3.015
  • Stop Loss: 2.9839
  • Take Profit: 3.0616

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9839 - 3.015 = -0.0311

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.015 - 3.0616 = -0.0466

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0466 / -0.0311 = 1.4984

📌 Position Size

Amount Margin Quantity Leverage
776.0683 100 257.4024 7.76
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 -0.0311

Taille de position = 8 / -0.0311 = -257.23

Taille de position USD = -257.23 x 3.015 = -775.55

Donc, tu peux acheter -257.23 avec un stoploss a 2.9839

Avec un position size USD de -775.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -257.23 x -0.0311 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -257.23 x -0.0466 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position -257.23
  • Taille de position USD -775.55
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4984

📌 Peformances

TP % Target TP $ Target
1.55 % 11.99 $
SL % Target SL $ Target
1.03 % 8.01 $
PNL PNL %
12.1 $ 1.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.33167495854064 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.077
            [stop_loss] => 2.984
            [rr_ratio] => 2
            [closed_at] => 2025-05-10 22:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.0925
            [stop_loss] => 2.984
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-10 23:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.108
            [stop_loss] => 2.984
            [rr_ratio] => 3
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 3.1235
            [stop_loss] => 2.984
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.139
            [stop_loss] => 2.984
            [rr_ratio] => 4
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.1545
            [stop_loss] => 2.984
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.17
            [stop_loss] => 2.984
            [rr_ratio] => 5
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.1855
            [stop_loss] => 2.984
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.201
            [stop_loss] => 2.984
            [rr_ratio] => 6
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.2165
            [stop_loss] => 2.984
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.232
            [stop_loss] => 2.984
            [rr_ratio] => 7
            [closed_at] => 2025-05-11 02:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.082
            [max_drawdown] => 0.01
            [rr_ratio] => 8.2
            [high] => 3.09700000
            [low] => 3.00500000
            [mfe_pct] => 2.72
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 8.2
            [candles_analyzed] => 24
            [start_at] => 2025-05-10T21:52:29-04:00
            [end_at] => 2025-05-10T23:52:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.082
            [max_drawdown] => 0.135
            [rr_ratio] => 0.61
            [high] => 3.09700000
            [low] => 2.88000000
            [mfe_pct] => 2.72
            [mae_pct] => 4.48
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 72
            [start_at] => 2025-05-10T21:52:29-04:00
            [end_at] => 2025-05-11T03:52:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.16600000
            [high_after] => 3.09700000
            [low_before] => 2.99300000
            [low_after] => 2.88000000
            [is_new_high] => 
            [is_new_low] => 
        )

)