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Short Trade on TANSSI

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Short Trade on TANSSI 17 Oct 2025 at 08:48:29

Take profit at 0.03125 (3.28 %) and Stop Loss at 0.03284 (1.64 %)

Short Trade on TANSSI

The 17 Oct 2025 at 08:48:29

With 15061.613 TANSSI at 0.03231$ per unit.

Position size of 486.6407 $

Take profit at 0.03125 (3.28 %) and Stop Loss at 0.03284 (1.64 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.87
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.95
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high_confirmed
BTC Correlation Score

5m : 0.530914

15m : -0.160455

1H : -0.131798

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0003541010737
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0318789
  4. ema21 : 0.0326094
  5. ema50 : 0.0331402
  6. ema100 : 0.0335435
  7. price_ema9_diff : 0.0135212
  8. ema9_ema21_diff : -0.0224021
  9. ema21_ema50_diff : -0.0160149
  10. price_ema100_diff : -0.0367732
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.436284
  14. ema_slope_21 : -0.269991
  15. ema_slope_50 : -0.12614
  16. ema_slope_100 : -0.0764454
  17. rsi : 0.472054
  18. adx : 0.197265
  19. kc_percentage : 0.451164
  20. kc_width_percentage : 0.163918
  21. volume_ema_diff : -0.200976
  22. volume_ema1 : 345486.78148051
  23. volume_ema2 : 432386.42367222
  24. chop : 38.3151
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0315141
  28. ema21 : 0.0314623
  29. ema50 : 0.0321062
  30. ema100 : 0.0327731
  31. price_ema9_diff : 0.0252552
  32. ema9_ema21_diff : 0.00164645
  33. ema21_ema50_diff : -0.0200564
  34. price_ema100_diff : -0.0141321
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.142204
  38. ema_slope_21 : -0.0822394
  39. ema_slope_50 : -0.143473
  40. ema_slope_100 : -0.110645
  41. rsi : 0.599147
  42. adx : 0.23844
  43. kc_percentage : 0.871987
  44. kc_width_percentage : 0.0719946
  45. volume_ema_diff : -0.71599
  46. volume_ema1 : 26704.65293394
  47. volume_ema2 : 94027.173411138
  48. chop : 45.6407
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.0317394
  52. ema21 : 0.0314752
  53. ema50 : 0.0313334
  54. ema100 : 0.0317359
  55. price_ema9_diff : 0.0179755
  56. ema9_ema21_diff : 0.00839371
  57. ema21_ema50_diff : 0.00452539
  58. price_ema100_diff : 0.0180888
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.122255
  62. ema_slope_21 : 0.132611
  63. ema_slope_50 : 0.0564726
  64. ema_slope_100 : -0.00505467
  65. rsi : 0.696853
  66. adx : 0.293323
  67. kc_percentage : 1.07615
  68. kc_width_percentage : 0.0438689
  69. volume_ema_diff : -0.586569
  70. volume_ema1 : 11499.087296116
  71. volume_ema2 : 27813.811437619
  72. chop : 59.23
  73. regime : bull_high_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106122
  77. 5m_price_ema100_diff: 
    -0.00602288
  78. 5m_price: 
    105483
  79. 5m_correlation_with_coin: 
    0.530914
  80. btc_indicators
  81. 15m_ema100: 
    107718
  82. 15m_price_ema100_diff: 
    -0.0207518
  83. 15m_price: 
    105483
  84. 15m_correlation_with_coin: 
    -0.160455
  85. btc_indicators
  86. 1H_ema100: 
    110715
  87. 1H_price_ema100_diff: 
    -0.0472581
  88. 1H_price: 
    105483
  89. 1H_correlation_with_coin: 
    -0.131798
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.0358
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 09:00:00
                    [1] => 0.03194
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.031
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 00:00:00
                    [1] => 0.03719
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.03175
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.03555
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 18:00:00
                    [1] => 0.03213
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 20:00:00
                    [1] => 0.03621
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-17 06:00:00
                    [1] => 0.02956
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 08:00:00
                    [1] => 0.03254
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.259987707437
            [ms_dist_from_last_low_pct] => 8.6941813261164
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 10.081190798376
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-16 12:30:00
                    [1] => 0.03232
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.03229
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 17:45:00
                    [1] => 0.03288
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 18:45:00
                    [1] => 0.03213
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 20:30:00
                    [1] => 0.03621
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-17 02:00:00
                    [1] => 0.03435
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-17 04:15:00
                    [1] => 0.02981
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-17 05:30:00
                    [1] => 0.03144
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-17 06:15:00
                    [1] => 0.02956
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 08:45:00
                    [1] => 0.03254
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -1.259987707437
            [ms_dist_from_last_low_pct] => 8.6941813261164
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 10.081190798376
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-17 01:15:00
                    [1] => 0.03351
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-17 01:45:00
                    [1] => 0.03348
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-17 02:05:00
                    [1] => 0.03435
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-17 03:15:00
                    [1] => 0.03116
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-17 03:45:00
                    [1] => 0.03205
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-17 04:15:00
                    [1] => 0.02981
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-17 05:35:00
                    [1] => 0.03144
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-17 06:20:00
                    [1] => 0.02956
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-17 07:35:00
                    [1] => 0.03168
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-17 08:45:00
                    [1] => 0.03254
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -1.259987707437
            [ms_dist_from_last_low_pct] => 8.6941813261164
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 29
            [ms_last_swing_amplitude_pct] => 2.7146464646465
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-1.26%
Dist From Last Low Pct
8.69%
Bars Since Swing High
0 bars
Bars Since Swing Low
29 bars
Last Swing Amplitude Pct
2.71%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0015
4.60%
TP to Pivot Distance
0.0017
5.41%
DateTime Price Type
2025-10-17 01:15:00 0.03351 ↓ Low
2025-10-17 01:45:00 0.03348 ↓ Low
2025-10-17 02:05:00 0.03435 ↑ High
2025-10-17 03:15:00 0.03116 ↓ Low
2025-10-17 03:45:00 0.03205 ↑ High
2025-10-17 04:15:00 0.02981 ↓ Low
2025-10-17 05:35:00 0.03144 ↑ High
2025-10-17 06:20:00 0.02956 ↓ Low
2025-10-17 07:35:00 0.03168 ↑ High
2025-10-17 08:45:00 0.03254 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-1.26%
Dist From Last Low Pct
8.69%
Bars Since Swing High
0 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
10.08%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0034
10.26%
TP to Pivot Distance
0.0017
5.41%
DateTime Price Type
2025-10-16 12:30:00 0.03232 ↓ Low
2025-10-16 16:30:00 0.03229 ↓ Low
2025-10-16 17:45:00 0.03288 ↑ High
2025-10-16 18:45:00 0.03213 ↓ Low
2025-10-16 20:30:00 0.03621 ↑ High
2025-10-17 02:00:00 0.03435 ↑ High
2025-10-17 04:15:00 0.02981 ↓ Low
2025-10-17 05:30:00 0.03144 ↑ High
2025-10-17 06:15:00 0.02956 ↓ Low
2025-10-17 08:45:00 0.03254 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.26%
Dist From Last Low Pct
8.69%
Bars Since Swing High
0 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
10.08%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0044
13.25%
TP to Pivot Distance
0.0017
5.41%
DateTime Price Type
2025-10-15 04:00:00 0.0358 ↑ High
2025-10-15 09:00:00 0.03194 ↓ Low
2025-10-15 16:00:00 0.031 ↓ Low
2025-10-16 00:00:00 0.03719 ↑ High
2025-10-16 05:00:00 0.03175 ↓ Low
2025-10-16 08:00:00 0.03555 ↑ High
2025-10-16 18:00:00 0.03213 ↓ Low
2025-10-16 20:00:00 0.03621 ↑ High
2025-10-17 06:00:00 0.02956 ↓ Low
2025-10-17 08:00:00 0.03254 ↑ High

📌 Time Data

Start at Closed at Duration
17 Oct 2025
08:48:29		 17 Oct 2025
12:00:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03231 0.03284 0.03125 2 0.02282
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 0.03231
  • Stop Loss: 0.03284
  • Take Profit: 0.03125

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03284 - 0.03231 = 0.00053

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03231 - 0.03125 = 0.00106

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00106 / 0.00053 = 2

📌 Position Size

Amount Margin Quantity Leverage
486.6407 100 15061.613 4.87
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 0.00053

Taille de position = 8 / 0.00053 = 15094.34

Taille de position USD = 15094.34 x 0.03231 = 487.7

Donc, tu peux acheter 15094.34 avec un stoploss a 0.03284

Avec un position size USD de 487.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 15094.34 x 0.00053 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 15094.34 x 0.00106 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 15094.34
  • Taille de position USD 487.7
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.28 % 15.97 $
SL % Target SL $ Target
1.64 % 7.98 $
PNL PNL %
-7.98 $ -1.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.3522 % 143.39 % 13

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03125
            [entry_price] => 0.03231
            [stop_loss] => 0.032893
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-17 12:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03125
            [entry_price] => 0.03231
            [stop_loss] => 0.032946
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-17 12:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03125
            [entry_price] => 0.03231
            [stop_loss] => 0.032999
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-17 12:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0008
            [max_drawdown] => 0.00027
            [rr_ratio] => 2.96
            [high] => 0.03258000
            [low] => 0.03151000
            [mfe_pct] => 2.48
            [mae_pct] => 0.84
            [mfe_mae_ratio] => 2.96
            [candles_analyzed] => 24
            [start_at] => 2025-10-17T08:48:29-04:00
            [end_at] => 2025-10-17T10:48:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0008
            [max_drawdown] => 0.00076
            [rr_ratio] => 1.05
            [high] => 0.03307000
            [low] => 0.03151000
            [mfe_pct] => 2.48
            [mae_pct] => 2.35
            [mfe_mae_ratio] => 1.05
            [candles_analyzed] => 84
            [start_at] => 2025-10-17T08:48:29-04:00
            [end_at] => 2025-10-17T15:48:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03254000
            [high_after] => 0.03307000
            [low_before] => 0.02956000
            [low_after] => 0.03151000
            [is_new_high] => 
            [is_new_low] => 
        )

)