Long Trade on FLOKI 16 Jul 2025 at 23:33:47

Take profit at 0.0001282 (2.72 %) and Stop Loss at 0.0001226 (1.76 %)

Long Trade on FLOKI

The 16 Jul 2025 at 23:33:47

With 3548979.859 FLOKI at 0.0001248$ per unit.

Position size of 443.0546 $

Take profit at 0.0001282 (2.72 %) and Stop Loss at 0.0001226 (1.76 %)

That's a 1.55 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 120
ML Pullback Score: 7.66
Prediction Score: 0.7167
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
1 0.42
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.375882

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 1.502779262E-6
Details
  1. score: 2.2
  2. 1H
  3. ema9 : 0.000127558
  4. ema21 : 0.000120085
  5. ema50 : 0.000110396
  6. ema100 : 0.000104662
  7. price_ema9_diff : -0.0213141
  8. ema9_ema21_diff : 0.0622298
  9. ema21_ema50_diff : 0.087764
  10. price_ema100_diff : 0.19279
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.606914
  14. kc_percentage : 0.688712
  15. kc_width_percentage : 0.178525
  16. volume_ema_diff : 0.902699
  17. volume_ema1 : 8114271.3052431
  18. volume_ema2 : 4264610.6863953
  19. ¸
  20. 15m
  21. ema9 : 0.000128751
  22. ema21 : 0.000129815
  23. ema50 : 0.000125374
  24. ema100 : 0.000117951
  25. price_ema9_diff : -0.0303786
  26. ema9_ema21_diff : -0.00819528
  27. ema21_ema50_diff : 0.0354221
  28. price_ema100_diff : 0.0583998
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.399369
  32. kc_percentage : 0.0803786
  33. kc_width_percentage : 0.0957845
  34. volume_ema_diff : 0.0547329
  35. volume_ema1 : 2148132.2746088
  36. volume_ema2 : 2036659.9637037
  37. ¸
  38. 5m
  39. ema9 : 0.000127431
  40. ema21 : 0.000129164
  41. ema50 : 0.000130459
  42. ema100 : 0.000129449
  43. price_ema9_diff : -0.020338
  44. ema9_ema21_diff : -0.0134126
  45. ema21_ema50_diff : -0.00992623
  46. price_ema100_diff : -0.0356065
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.249623
  50. kc_percentage : -0.203065
  51. kc_width_percentage : 0.048168
  52. volume_ema_diff : 0.64841
  53. volume_ema1 : 1281688.4480664
  54. volume_ema2 : 777530.08041101
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    118694
  59. 5m_price_ema100_diff:
    -0.00688374
  60. 5m_price:
    117877
  61. 5m_correlation_with_coin:
    0.375882
  62. btc_indicators
  63. 15m_ema100:
    118572
  64. 15m_price_ema100_diff:
    -0.00586399
  65. 15m_price:
    117877
  66. btc_indicators
  67. 1H_ema100:
    118390
  68. 1H_price_ema100_diff:
    -0.00433613
  69. 1H_price:
    117877
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Jul 2025
23:33:47
17 Jul 2025
01:25:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0001248 0.0001226 0.0001282 1.55 3.015E-5
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 0.0001248
  • Stop Loss: 0.0001226
  • Take Profit: 0.0001282

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0001226 - 0.0001248 = -2.2E-6

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0001248 - 0.0001282 = -3.4E-6

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -3.4E-6 / -2.2E-6 = 1.5455

📌 Position Size

Amount Margin Quantity Leverage
443.0546 100 3548979.859 4.43
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 -2.2E-6

Taille de position = 8 / -2.2E-6 = -3636363.64

Taille de position USD = -3636363.64 x 0.0001248 = -453.82

Donc, tu peux acheter -3636363.64 avec un stoploss a 0.0001226

Avec un position size USD de -453.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3636363.64 x -2.2E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3636363.64 x -3.4E-6 = 12.36

Si Take Profit atteint, tu gagneras 12.36$

Résumé

  • Taille de position -3636363.64
  • Taille de position USD -453.82
  • Perte potentielle 8
  • Gain potentiel 12.36
  • Risk-Reward Ratio 1.5455

📌 Peformances

TP % Target TP $ Target
2.72 % 12.07 $
SL % Target SL $ Target
1.76 % 7.81 $
PNL PNL %
12.07 $ 2.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4183 % 80.46 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0001292
            [stop_loss] => 0.0001226
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 01:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0001303
            [stop_loss] => 0.0001226
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 01:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0001314
            [stop_loss] => 0.0001226
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 01:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0001325
            [stop_loss] => 0.0001226
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 01:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0001336
            [stop_loss] => 0.0001226
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 01:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0001347
            [stop_loss] => 0.0001226
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 02:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0001358
            [stop_loss] => 0.0001226
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 04:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0001369
            [stop_loss] => 0.0001226
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 04:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.000138
            [stop_loss] => 0.0001226
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 04:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.75E-6
            [max_drawdown] => 1.77E-6
            [rr_ratio] => 2.68
            [high] => 0.00012955
            [low] => 0.00012303
            [mfe_pct] => 3.81
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 2.68
            [candles_analyzed] => 24
            [start_at] => 2025-07-16T23:33:47-04:00
            [end_at] => 2025-07-17T01:33:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.344E-5
            [max_drawdown] => 1.77E-6
            [rr_ratio] => 7.59
            [high] => 0.00013824
            [low] => 0.00012303
            [mfe_pct] => 10.77
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 7.59
            [candles_analyzed] => 72
            [start_at] => 2025-07-16T23:33:47-04:00
            [end_at] => 2025-07-17T05:33:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00013721
            [high_after] => 0.00013824
            [low_before] => 0.00012430
            [low_after] => 0.00012303
            [is_new_high] => 1
            [is_new_low] => 
        )

)