Trade

sell - RENDER

Status
win
2025-08-14 19:37:43
22 minutes
PNL
0.71
Entry: 3.843
Last: 3.81590000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.6611
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.87
ML Trade Score: 50
ML Pullback Score: 4.25

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.01203495329
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 3.84091
  4. ema21 - 3.9147
  5. ema50 - 3.98052
  6. ema100 - 3.98281
  7. price_ema9_diff - 0.000543436
  8. ema9_ema21_diff - -0.01885
  9. ema21_ema50_diff - -0.0165347
  10. price_ema100_diff - -0.0351038
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.379471
  14. adx - 0.488761
  15. kc_percentage - 0.268349
  16. kc_width_percentage - 0.074721
  17. volume_ema_diff - -0.448465
  18. volume_ema1 - 611066.76330799
  19. volume_ema2 - 1107939.3476182
  20. ¸
  21. 15m
  22. ema9 - 3.81869
  23. ema21 - 3.81779
  24. ema50 - 3.86388
  25. ema100 - 3.94442
  26. price_ema9_diff - 0.00636599
  27. ema9_ema21_diff - 0.000233655
  28. ema21_ema50_diff - -0.0119279
  29. price_ema100_diff - -0.0257142
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.548203
  33. adx - 0.302463
  34. kc_percentage - 0.768679
  35. kc_width_percentage - 0.0251791
  36. volume_ema_diff - -0.580263
  37. volume_ema1 - 105593.42043644
  38. volume_ema2 - 251570.4535584
  39. ¸
  40. 5m
  41. ema9 - 3.83262
  42. ema21 - 3.81845
  43. ema50 - 3.81191
  44. ema100 - 3.82008
  45. price_ema9_diff - 0.00270792
  46. ema9_ema21_diff - 0.00371091
  47. ema21_ema50_diff - 0.00171598
  48. price_ema100_diff - 0.00599749
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.673358
  52. adx - 0.247106
  53. kc_percentage - 1.03697
  54. kc_width_percentage - 0.0115129
  55. volume_ema_diff - -0.418997
  56. volume_ema1 - 29246.757853633
  57. volume_ema2 - 50338.428071979
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 118032
  62. 5m_price_ema100_diff: 0.00317104
  63. 5m_price: 118407
  64. 5m_correlation_with_coin: 0.675961
  65. btc_indicators
  66. 15m_ema100: 119862
  67. 15m_price_ema100_diff: -0.0119504
  68. 15m_price: 118430
  69. btc_indicators
  70. 1H_ema100: 119889
  71. 1H_price_ema100_diff: -0.0123622
  72. 1H_price: 118407
  73. ¸

Short Trade on RENDER

The 14 Aug 2025 at 19:37:43

With 443.1536 RENDER at 3.843$ per unit.

Position size of 1703.0394 $

Take profit at 3.8159 (0.71 %) and Stop Loss at 3.8611 (0.47 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 15.71 %

Symbol Start at Seach Score Trade Score Trades Count
1MBABYDOGE 2025-08-14 19:38:25 0.9935 40 1
STRK 2025-08-14 19:36:07 0.9934 50 1
KAS 2025-08-14 19:36:36 0.993 30 1
JTO 2025-08-14 19:35:46 0.9929 30 1
MANTA 2025-08-14 19:35:52 0.9927 -100 1
POL 2025-08-14 19:38:11 0.992 -100 1
PYTH 2025-08-14 19:35:38 0.9918 40 1
W 2025-08-14 19:36:46 0.9914 30 1
UXLINK 2025-08-14 19:37:34 0.9898 30 1
DOGS 2025-08-14 19:37:59 0.9892 30 1
ETHW 2025-08-14 19:39:06 0.9886 30 1
1000000MOG 2025-08-14 19:37:50 0.9881 30 1
HMSTR 2025-08-14 19:38:40 0.9881 40 1
CETUS 2025-08-14 19:39:36 0.9878 40 1

📌 Time Data

Start at Closed at Duration
14 Aug 2025
19:37:43
14 Aug 2025
20:00:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.843 3.8611 3.8159 1.5 3.822
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 3.843
  • Stop Loss: 3.8611
  • Take Profit: 3.8159

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.8611 - 3.843 = 0.0181

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.843 - 3.8159 = 0.0271

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0271 / 0.0181 = 1.4972

📌 Position Size

Amount Margin Quantity Leverage
1703.0394 100 443.1536 17.03
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 0.0181

Taille de position = 8 / 0.0181 = 441.99

Taille de position USD = 441.99 x 3.843 = 1698.57

Donc, tu peux acheter 441.99 avec un stoploss a 3.8611

Avec un position size USD de 1698.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 441.99 x 0.0181 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 441.99 x 0.0271 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

  • Taille de position 441.99
  • Taille de position USD 1698.57
  • Perte potentielle 8
  • Gain potentiel 11.98
  • Risk-Reward Ratio 1.4972

📌 Peformances

TP % Target TP $ Target
0.71 % 12.01 $
SL % Target SL $ Target
0.47 % 8.02 $
PNL PNL %
12.01 $ 0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1821 % 38.66 % 3

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 3.8068
            [stop_loss] => 3.8611
            [rr_ratio] => 2
            [closed_at] => 2025-08-14 20:00:00
            [result] => win
        )

    [2.5] => Array
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            [take_profit] => 3.79775
            [stop_loss] => 3.8611
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-14 20:30:00
            [result] => win
        )

    [3] => Array
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            [take_profit] => 3.7887
            [stop_loss] => 3.8611
            [rr_ratio] => 3
            [closed_at] => 2025-08-14 23:05:00
            [result] => loss
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-14 23:05:00
            [result] => loss
        )

    [4] => Array
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            [rr_ratio] => 4
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    [4.5] => Array
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            [result] => loss
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    [5] => Array
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            [take_profit] => 3.7525
            [stop_loss] => 3.8611
            [rr_ratio] => 5
            [closed_at] => 2025-08-14 23:05:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 3.74345
            [stop_loss] => 3.8611
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-14 23:05:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 3.7344
            [stop_loss] => 3.8611
            [rr_ratio] => 6
            [closed_at] => 2025-08-14 23:05:00
            [result] => loss
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    [6.5] => Array
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            [rr_ratio] => 6.5
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    [7] => Array
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            [stop_loss] => 3.8611
            [rr_ratio] => 7
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            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
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            [max_gain] => 0.047
            [max_drawdown] => 0.0070000000000001
            [rr_ratio] => 6.71
            [high] => 3.85000000
            [low] => 3.79600000
            [mfe_pct] => 1.22
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 6.71
            [candles_analyzed] => 24
            [start_at] => 2025-08-14T19:37:43-04:00
            [end_at] => 2025-08-14T21:37:43-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.047
            [max_drawdown] => 0.114
            [rr_ratio] => 0.41
            [high] => 3.95700000
            [low] => 3.79600000
            [mfe_pct] => 1.22
            [mae_pct] => 2.97
            [mfe_mae_ratio] => 0.41
            [candles_analyzed] => 84
            [start_at] => 2025-08-14T19:37:43-04:00
            [end_at] => 2025-08-15T02:37:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.84700000
            [high_after] => 3.91800000
            [low_before] => 3.72800000
            [low_after] => 3.79600000
            [is_new_high] => 
            [is_new_low] => 
        )

)