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Trade

sell - USELESS

Status
win
2025-07-29 12:00:39
14 minutes
PNL
2.72
Entry: 0.3085
Last: 0.30010000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.1182
Prediction 1 Probability
Strong Trade
0.62
Prediction 2 Probability
1 0.71
Prediction 3 Probability
1 0.69
ML Trade Score: 100
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.003751258585
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.307647
  4. ema21 - 0.321547
  5. ema50 - 0.341898
  6. ema100 - 0.347726
  7. price_ema9_diff - 0.00277261
  8. ema9_ema21_diff - -0.0432302
  9. ema21_ema50_diff - -0.0595227
  10. price_ema100_diff - -0.112808
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.389342
  14. adx - 0.351776
  15. kc_percentage - 0.250719
  16. kc_width_percentage - 0.15506
  17. volume_ema_diff - 0.185981
  18. volume_ema1 - 708893.84783787
  19. volume_ema2 - 597727.81553328
    20. ¸
  20. 15m
  21. ema9 - 0.301527
  22. ema21 - 0.303344
  23. ema50 - 0.312293
  24. ema100 - 0.327793
  25. price_ema9_diff - 0.0231231
  26. ema9_ema21_diff - -0.00598871
  27. ema21_ema50_diff - -0.0286562
  28. price_ema100_diff - -0.0588589
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.5409
  32. adx - 0.331938
  33. kc_percentage - 0.721151
  34. kc_width_percentage - 0.0794113
  35. volume_ema_diff - -0.149531
  36. volume_ema1 - 179458.3788209
  37. volume_ema2 - 211011.18145795
    38. ¸
  38. 5m
  39. ema9 - 0.303436
  40. ema21 - 0.300509
  41. ema50 - 0.301835
  42. ema100 - 0.307239
  43. price_ema9_diff - 0.0166863
  44. ema9_ema21_diff - 0.00974049
  45. ema21_ema50_diff - -0.00439109
  46. price_ema100_diff - 0.0041017
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.661901
  50. adx - 0.207059
  51. kc_percentage - 1.02657
  52. kc_width_percentage - 0.0485657
  53. volume_ema_diff - -0.303263
  54. volume_ema1 - 59925.80734209
  55. volume_ema2 - 86009.319951962
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118379
  59. 5m_price_ema100_diff: -0.00863686
  60. 5m_price: 117357
  61. 5m_correlation_with_coin: 0.35904
  62. btc_indicators
  63. 15m_ema100: 118345
  64. 15m_price_ema100_diff: -0.00835308
  65. 15m_price: 117357
  66. btc_indicators
  67. 1H_ema100: 118008
  68. 1H_price_ema100_diff: -0.0055207
  69. 1H_price: 117357
    70. ¸

Short Trade on USELESS

The 29 Jul 2025 at 12:00:39

With 1421.7451 USELESS at 0.3085$ per unit.

Position size of 438.6083 $

Take profit at 0.3001 (2.72 %) and Stop Loss at 0.3141 (1.82 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -88.18 %

Symbol Start at Seach Score Trade Score Trades Count
PARTI 2025-07-15 01:12:47 0.9299 30 1
NEIROETH 2025-05-20 15:28:49 0.9203 -100 4
FIL 2025-04-07 04:50:34 0.922 -100 1
ADA 2025-04-07 04:50:14 0.9208 -100 1
HBAR 2025-04-07 04:41:23 0.9205 -100 1
HIFI 2025-05-23 22:30:03 0.9203 -100 1
POL 2025-04-07 04:42:34 0.9199 -100 1
GALA 2025-04-07 04:50:44 0.9191 -100 1
VET 2025-04-07 04:41:27 0.919 -100 1
TRX 2025-04-07 04:50:20 0.9167 -100 1
MBOX 2025-04-07 04:42:32 0.9166 -100 1

📌 Time Data

Start at Closed at Duration
29 Jul 2025
12:00:39		 29 Jul 2025
12:15:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3085 0.3141 0.3001 1.5 0.2189
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 0.3085
  • Stop Loss: 0.3141
  • Take Profit: 0.3001

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3141 - 0.3085 = 0.0056

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3085 - 0.3001 = 0.0084

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0084 / 0.0056 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
438.6083 100 1421.7451 4.39
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 0.0056

Taille de position = 8 / 0.0056 = 1428.57

Taille de position USD = 1428.57 x 0.3085 = 440.71

Donc, tu peux acheter 1428.57 avec un stoploss a 0.3141

Avec un position size USD de 440.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1428.57 x 0.0056 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1428.57 x 0.0084 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1428.57
  • Taille de position USD 440.71
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
2.72 % 11.94 $
SL % Target SL $ Target
1.82 % 7.96 $
PNL PNL %
11.94 $ 2.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2973
            [stop_loss] => 0.3141
            [rr_ratio] => 2
            [closed_at] => 2025-07-29 12:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2945
            [stop_loss] => 0.3141
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-29 15:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2917
            [stop_loss] => 0.3141
            [rr_ratio] => 3
            [closed_at] => 2025-07-29 15:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2889
            [stop_loss] => 0.3141
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-29 16:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2861
            [stop_loss] => 0.3141
            [rr_ratio] => 4
            [closed_at] => 2025-07-29 16:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2833
            [stop_loss] => 0.3141
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-29 16:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2805
            [stop_loss] => 0.3141
            [rr_ratio] => 5
            [closed_at] => 2025-07-29 17:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0128
            [max_drawdown] => 0.00090000000000001
            [rr_ratio] => 14.22
            [high] => 0.30940000
            [low] => 0.29570000
            [mfe_pct] => 4.15
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 14.22
            [candles_analyzed] => 24
            [start_at] => 2025-07-29T12:00:39-04:00
            [end_at] => 2025-07-29T14:00:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0281
            [max_drawdown] => 0.00090000000000001
            [rr_ratio] => 31.22
            [high] => 0.30940000
            [low] => 0.28040000
            [mfe_pct] => 9.11
            [mae_pct] => 0.29
            [mfe_mae_ratio] => 31.22
            [candles_analyzed] => 84
            [start_at] => 2025-07-29T12:00:39-04:00
            [end_at] => 2025-07-29T19:00:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31220000
            [high_after] => 0.30940000
            [low_before] => 0.28470000
            [low_after] => 0.28040000
            [is_new_high] => 
            [is_new_low] => 1
        )

)