Trade

sell - A

Status
win
2025-05-30 09:31:05
1 hour
PNL
1.37
Entry: 0.7075
Last: 0.69780000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2833
Prediction 1 Accuracy
Weak Trade
0.61
Prediction 2 Accuracy
0 0.63
ML Trade Score: 140
ML Pullback Score: 8.12

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.004289982806
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.700816
  4. ema21 - 0.710093
  5. ema50 - 0.725761
  6. ema100 - 0
  7. price_ema9_diff - 0.00947916
  8. ema9_ema21_diff - -0.0130644
  9. ema21_ema50_diff - -0.0215882
  10. price_ema100_diff - 0
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.466838
  14. kc_percentage - 0.476624
  15. kc_width_percentage - 0.114543
  16. ¸
  17. 15m
  18. ema9 - 0.697518
  19. ema21 - 0.697101
  20. ema50 - 0.702655
  21. ema100 - 0.711354
  22. price_ema9_diff - 0.0142523
  23. ema9_ema21_diff - 0.000598854
  24. ema21_ema50_diff - -0.0079047
  25. price_ema100_diff - -0.0054747
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.601725
  29. kc_percentage - 0.808422
  30. kc_width_percentage - 0.0480227
  31. ¸
  32. 5m
  33. ema9 - 0.701002
  34. ema21 - 0.697309
  35. ema50 - 0.696265
  36. ema100 - 0.699577
  37. price_ema9_diff - 0.00921112
  38. ema9_ema21_diff - 0.00529691
  39. ema21_ema50_diff - 0.00149894
  40. price_ema100_diff - 0.0112672
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.697873
  44. kc_percentage - 1.0735
  45. kc_width_percentage - 0.0246041
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 105635
  50. 5m_price_ema100_diff: 0.000152459
  51. 5m_price: 105651
  52. 5m_correlation_with_coin: 0.351995
  53. btc_indicators
  54. 15m_ema100: 106190
  55. 15m_price_ema100_diff: -0.00507563
  56. 15m_price: 105651
  57. btc_indicators
  58. 1H_ema100: 107653
  59. 1H_price_ema100_diff: -0.0185914
  60. 1H_price: 105651
  61. ¸

Short Trade on A

The 30 May 2025 at 09:31:05

With 1243.2062 A at 0.7075$ per unit.

Position size of 879.5187 $

Take profit at 0.6978 (1.37 %) and Stop Loss at 0.7139 (0.9 %)

That's a 1.52 RR Trade

📌 Similar Trades

Similar Trade Score: -2 %

Symbol Start at Seach Score Trade Score Trades Count
POPCAT 2025-05-31 02:21:18 0.8492 -100 1
NEAR 2025-06-04 22:44:21 0.8342 40 2
XLM 2025-07-04 16:59:46 0.8384 30 2
BGB 2025-06-29 18:39:46 0.8374 30 2
ONDO 2025-06-04 22:39:53 0.8321 40 1
INJ 2025-06-04 22:39:02 0.8318 40 1
APT 2025-06-04 22:38:24 0.8262 30 1
PNUT 2025-06-06 20:44:13 0.8225 -100 2
ATOM 2025-06-26 15:17:21 0.8211 -100 1
LTC 2025-03-29 20:23:45 0.8204 70 1

📌 Time Data

Start at Closed at Duration
30 May 2025
09:31:05
30 May 2025
11:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7075 0.7139 0.6978 1.52 0.6086
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 0.7075
  • Stop Loss: 0.7139
  • Take Profit: 0.6978

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7139 - 0.7075 = 0.0064

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7075 - 0.6978 = 0.0097

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0097 / 0.0064 = 1.5156

📌 Position Size

Amount Margin Quantity Leverage
879.5187 100 1243.2062 8.80
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 0.0064

Taille de position = 8 / 0.0064 = 1250

Taille de position USD = 1250 x 0.7075 = 884.38

Donc, tu peux acheter 1250 avec un stoploss a 0.7139

Avec un position size USD de 884.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1250 x 0.0064 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1250 x 0.0097 = 12.13

Si Take Profit atteint, tu gagneras 12.13$

Résumé

  • Taille de position 1250
  • Taille de position USD 884.38
  • Perte potentielle 8
  • Gain potentiel 12.13
  • Risk-Reward Ratio 1.5156

📌 Peformances

TP % Target TP $ Target
1.37 % 12.06 $
SL % Target SL $ Target
0.9 % 7.96 $
PNL PNL %
12.06 $ 1.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.79151943462897 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6947
            [stop_loss] => 0.7139
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 11:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6915
            [stop_loss] => 0.7139
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 11:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6883
            [stop_loss] => 0.7139
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 12:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.6851
            [stop_loss] => 0.7139
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.6819
            [stop_loss] => 0.7139
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 12:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.6787
            [stop_loss] => 0.7139
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 13:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.6755
            [stop_loss] => 0.7139
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 13:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.6723
            [stop_loss] => 0.7139
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 13:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.6691
            [stop_loss] => 0.7139
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 13:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.6659
            [stop_loss] => 0.7139
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 13:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.6627
            [stop_loss] => 0.7139
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 13:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0165
            [max_drawdown] => 0.0055999999999999
            [rr_ratio] => 2.95
            [high] => 0.71310000
            [low] => 0.69100000
            [mfe_pct] => 2.33
            [mae_pct] => 0.79
            [mfe_mae_ratio] => 2.95
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T09:31:05-04:00
            [end_at] => 2025-05-30T11:31:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0494
            [max_drawdown] => 0.0055999999999999
            [rr_ratio] => 8.82
            [high] => 0.71310000
            [low] => 0.65810000
            [mfe_pct] => 6.98
            [mae_pct] => 0.79
            [mfe_mae_ratio] => 8.82
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T09:31:05-04:00
            [end_at] => 2025-05-30T15:31:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.71277000
            [high_after] => 0.71310000
            [low_before] => 0.68291000
            [low_after] => 0.65810000
            [is_new_high] => 
            [is_new_low] => 1
        )

)