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Long Trade on GIGA

Long Trade on GIGA

The 25 Sep 2025 at 00:14:55

With 38489.9235 GIGA at 0.01217$ per unit.

Position size of 468.4224 $

Take profit at 0.01259 (3.45 %) and Stop Loss at 0.01196 (1.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.29
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
0 0.82
Prediction 3 Probability
1 0.54
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : bear_low_confirmed

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high_confirmed
BTC Correlation Score

5m : 0.403885

15m : 0.074183

1H : -0.104706

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0001385644045
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 0.0124089
  4. ema21 - 0.0120142
  5. ema50 - 0.0114399
  6. ema100 - 0.0112314
  7. price_ema9_diff - -0.019255
  8. ema9_ema21_diff - 0.0328501
  9. ema21_ema50_diff - 0.0502011
  10. price_ema100_diff - 0.0835665
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.837597
  14. ema_slope_21 - 0.880094
  15. ema_slope_50 - 0.544951
  16. ema_slope_100 - 0.282744
  17. rsi - 0.569381
  18. adx - 0.45626
  19. kc_percentage - 0.565537
  20. kc_width_percentage - 0.153627
  21. volume_ema_diff - -0.00996745
  22. volume_ema1 - 225536.92254934
  23. volume_ema2 - 227807.58489294
  24. chop - 34.263
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0124725
  28. ema21 - 0.0125133
  29. ema50 - 0.0123194
  30. ema100 - 0.0118129
  31. price_ema9_diff - -0.024258
  32. ema9_ema21_diff - -0.00325813
  33. ema21_ema50_diff - 0.0157358
  34. price_ema100_diff - 0.0302277
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.025003
  38. ema_slope_21 - 0.00730953
  39. ema_slope_50 - 0.0907156
  40. ema_slope_100 - 0.141508
  41. rsi - 0.394443
  42. adx - 0.165548
  43. kc_percentage - 0.151964
  44. kc_width_percentage - 0.0809859
  45. volume_ema_diff - -0.304357
  46. volume_ema1 - 63753.700924307
  47. volume_ema2 - 91647.168704568
  48. chop - 62.0424
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.0124077
  52. ema21 - 0.0124813
  53. ema50 - 0.0125163
  54. ema100 - 0.0125657
  55. price_ema9_diff - -0.0191604
  56. ema9_ema21_diff - -0.00589989
  57. ema21_ema50_diff - -0.0027919
  58. price_ema100_diff - -0.0314936
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.148231
  62. ema_slope_21 - -0.0694527
  63. ema_slope_50 - -0.0269069
  64. ema_slope_100 - -0.0195188
  65. rsi - 0.343059
  66. adx - 0.178797
  67. kc_percentage - -0.0565614
  68. kc_width_percentage - 0.0455559
  69. volume_ema_diff - 0.17812
  70. volume_ema1 - 27035.633152927
  71. volume_ema2 - 22948.106836454
  72. chop - 46.4813
  73. regime - bear_high_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 112959
  77. 5m_price_ema100_diff: -0.00643118
  78. 5m_price: 112233
  79. 5m_correlation_with_coin: 0.403885
  80. btc_indicators
  81. 15m_ema100: 112865
  82. 15m_price_ema100_diff: -0.00560592
  83. 15m_price: 112233
  84. 15m_correlation_with_coin: 0.074183
  85. btc_indicators
  86. 1H_ema100: 113349
  87. 1H_price_ema100_diff: -0.00985036
  88. 1H_price: 112233
  89. 1H_correlation_with_coin: -0.104706
    90. ¸

📌 Time Data

Start at Closed at Duration
25 Sep 2025
00:14:55		 25 Sep 2025
00:20:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01217 0.01196 0.01259 2 0.004054
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 0.01217
  • Stop Loss: 0.01196
  • Take Profit: 0.01259

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01196 - 0.01217 = -0.00021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01217 - 0.01259 = -0.00042

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00042 / -0.00021 = 2

📌 Position Size

Amount Margin Quantity Leverage
468.4224 100 38489.9235 4.68
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 -0.00021

Taille de position = 8 / -0.00021 = -38095.24

Taille de position USD = -38095.24 x 0.01217 = -463.62

Donc, tu peux acheter -38095.24 avec un stoploss a 0.01196

Avec un position size USD de -463.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -38095.24 x -0.00021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -38095.24 x -0.00042 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -38095.24
  • Taille de position USD -463.62
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.45 % 16.17 $
SL % Target SL $ Target
1.73 % 8.08 $
PNL PNL %
-8.08 $ -1.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8899 % 109.52 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01259
            [entry_price] => 0.01217
            [stop_loss] => 0.011939
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-25 00:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01259
            [entry_price] => 0.01217
            [stop_loss] => 0.011918
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-25 00:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01259
            [entry_price] => 0.01217
            [stop_loss] => 0.011897
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-25 00:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01259
            [entry_price] => 0.01217
            [stop_loss] => 0.011855
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-25 00:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00012
            [max_drawdown] => 0.00044
            [rr_ratio] => 0.27
            [high] => 0.01229000
            [low] => 0.01173000
            [mfe_pct] => 0.99
            [mae_pct] => 3.62
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T00:14:55-04:00
            [end_at] => 2025-09-25T02:14:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00012
            [max_drawdown] => 0.0009
            [rr_ratio] => 0.13
            [high] => 0.01229000
            [low] => 0.01127000
            [mfe_pct] => 0.99
            [mae_pct] => 7.4
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T00:14:55-04:00
            [end_at] => 2025-09-25T07:14:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01285000
            [high_after] => 0.01229000
            [low_before] => 0.01214000
            [low_after] => 0.01137000
            [is_new_high] => 
            [is_new_low] => 
        )

)