30 Sep 2026 at 18:54:25

Short Trade on MARSCOIN (BosPullback)

With 1102.97 MARSCOIN at 0.136$ per unit. Take profit: 0.1177 (13.33 %) & Stop Loss: 0.1431 (5.38 %)

Short BosPullback on MARSCOIN (30 Sep 2026 at 18:54:25 to 23:50:00 - 4 hours )

With 1102.9675 MARSCOIN at 0.1358$ per unit.

Position size of 149.794 $
Take profit at 0.1177 (13.33 %) and Stop Loss at 0.1431 (5.38 %)

That's a 2.48 RR Trade
Duration: 4 hours

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.53
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime BTC Market Regime V2

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_high

rules_regime : bull_high

rules_regime_4h : range_medium

tf_aligned :

30/09 18:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bear_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up transition bullish_transition moderate fading normal bull_high
77%
30/09 20:00
1h ↓ down transition bearish_transition moderate grind compression bear_high
65%
30/09 22:00
15m ↓ down transition bearish_transition moderate grind compression bear_high
73%
30/09 22:30
5m ↔ neutral range range strong explosive compression bear_medium
75%
30/09 22:45

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.72
  3. reason: bos_pullback_short|score=1|shallow|bars_since_bos=8|retests=1|break_atr=0.39|prog=0.68|zone=invalid
  4. stop_price: 0.14306316
  5. tp_price: 0.1176771
  6. atr:
  7. score: 0.72
  8. confidence_pre_ob: 0.72
Details
  1. 1H:
  2. 15m:
  3. 5m:
  4. btc_indicators
  5. ¸
  6. market_structures
  7. ¸
  8. market_structure_v2
  9. timeframe : 1h
  10. state : impulse_down
  11. confidence : 0.854
  12. trend_strength : -0.2211
  13. trend_persistence : 0.5
  14. high_delta_atr : -2.3531
  15. low_delta_atr : -0.6197
  16. current_swing_amp_atr : 1.5945
  17. current_swing_speed : 0.79723
  18. current_swing_efficiency : 0.5385
  19. retracement_ratio : 0.4346
  20. extension_ratio : 0.5106
  21. compression_score : 1.0611
  22. swing_entropy : 1
  23. breakout_strength : -3.577
  24. distance_to_last_high_atr : -1.2239
  25. distance_to_last_low_atr : 0.5849
  26. pivot_count : 25
  27. swing_count : 24
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.1427
  31. last_pivot_index:
    143
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : transition
  36. structure : bearish_transition
  37. breakout_state : breakout_confirmed
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : mid_range
  45. confidence : 0.568
  46. state : down_bearish_transition_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.285
  49. scores_strength_score:
    0.579
  50. scores_quality_score:
    0.3702
  51. scores_cleanliness_score:
    0.241
  52. scores_structural_quality:
    0.4758
  53. scores_pullback_score:
    0.4346
  54. scores_exhaustion_score:
    0.4827
  55. scores_continuation_score:
    0.5692
  56. scores_structure_score:
    0.3563
  57. scores_volatility_expansion:
    0.0293
  58. scores_momentum_type_score:
    0.6303
  59. scores_risk_score:
    0.4147
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.1121
  62. features_ema50_slope:
    -0.0622
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.7745
  65. features_price_vs_ema50:
    -1.3159
  66. features_recent_hh_hl_score:
    0.55
  67. features_recent_lh_ll_score:
    0.45
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    8
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5179
  72. features_trend_efficiency:
    0.5385
  73. features_impulse_strength:
    3.6046
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.4346
  76. features_pullback_depth_atr:
    1.5666
  77. features_extension_from_mean:
    -1.3159
  78. features_impulse_decay_score:
    0.7447
  79. features_opposing_wick_pressure:
    0.2789
  80. features_volatility_percentile:
    0
  81. features_volatility_delta:
    -0.2561
  82. features_body_ratio:
    0.456
  83. features_closes_position_ratio:
    0.4415
  84. features_slope_consistency:
    0.9428
  85. features_range_position:
    0.4147
  86. features_distance_to_recent_high:
    -7.3469
  87. features_distance_to_recent_low:
    5.2052
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    1
  91. features_htf_trend_strength:
    
                                                                                                                                
  92. features_htf_compression_score:
    
                                                                                                                                
  93. features_htf_entropy_score:
    
                                                                                                                                
  94. features_htf_hh_hl_score:
    
                                                                                                                                
  95. features_htf_state_str:
    
                                                                                                                                
  96. ¸
  97. orderbook_context
  98. obi_top5 : -0.0006
  99. obi_top10 : 0.012
  100. micro_price : 0.13643803
  101. spread_pct : 0.051316
  102. mid_price : 0.136445
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.137
  107. ask_wall_size : 860975.2
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0016
  111. obi_top5_std : 0.0006
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6977
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : impulse_down
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-09-25 21:00:00
        [price] => 0.11446
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-09-26 00:00:00
        [price] => 0.1215
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-09-26 09:00:00
        [price] => 0.11259
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-09-26 21:00:00
        [price] => 0.14518
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-09-27 04:00:00
        [price] => 0.1238
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-09-27 11:00:00
        [price] => 0.14062
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-09-28 05:00:00
        [price] => 0.11532
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-09-28 06:00:00
        [price] => 0.15265
        [kind] => high
        [label] => HH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-09-28 10:00:00
        [price] => 0.14148
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-09-28 13:00:00
        [price] => 0.16916
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-09-28 14:00:00
        [price] => 0.14217
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-09-28 19:00:00
        [price] => 0.1642
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-09-29 04:00:00
        [price] => 0.14703
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-09-29 07:00:00
        [price] => 0.16991
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-09-29 11:00:00
        [price] => 0.145
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-09-29 14:00:00
        [price] => 0.15846
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-09-29 17:00:00
        [price] => 0.13654
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-09-30 04:00:00
        [price] => 0.15489
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-09-30 14:00:00
        [price] => 0.13333
        [kind] => low
        [label] => LL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-09-30 16:00:00
        [price] => 0.1427
        [kind] => high
        [label] => LH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-09-29 23:00:00
        [price] => 0.1445
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-09-29 23:30:00
        [price] => 0.1397
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-09-30 01:15:00
        [price] => 0.1502
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-09-30 02:00:00
        [price] => 0.14468
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-09-30 02:45:00
        [price] => 0.15342
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-09-30 03:45:00
        [price] => 0.14601
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-09-30 04:45:00
        [price] => 0.15489
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-09-30 07:00:00
        [price] => 0.14101
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-09-30 07:45:00
        [price] => 0.14545
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-09-30 08:30:00
        [price] => 0.14021
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-09-30 10:30:00
        [price] => 0.14538
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-09-30 12:00:00
        [price] => 0.1374
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-09-30 12:30:00
        [price] => 0.14367
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-09-30 14:30:00
        [price] => 0.13333
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-09-30 16:45:00
        [price] => 0.1427
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-09-30 17:30:00
        [price] => 0.13695
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-09-30 17:45:00
        [price] => 0.1416
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-09-30 19:45:00
        [price] => 0.13426
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-09-30 20:15:00
        [price] => 0.13824
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-09-30 21:30:00
        [price] => 0.13386
        [kind] => low
        [label] => HL
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 0.13654
  165. strategy_details
  166. levels_hl_price:
    0.13333
  167. levels_hl_timestamp: 2026-09-30 14:00:00
  168. levels_hh_price:
    0.1427
  169. levels_lh_price:
    0.1427
  170. levels_lh_timestamp: 2026-09-30 16:00:00
  171. levels_ll_price:
    0.13333
  172. demand_zone :
  173. supply_zone :
  174. ¸
  175. regimes
  176. 1H : bear_high
  177. 15m : bear_high
  178. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↓ impulse_down
Confidence 85%

Trend

Trend Strength
-0.221
Persistence
0.500
High Δ ATR
-2.353
Low Δ ATR
-0.620

Current Swing

Amp ATR
1.595
Speed
0.797
Efficiency
0.539

Structure

Retracement
0.435
Extension
0.511
Compression
1.061
Entropy
1.000
Breakout Str.
-3.577
Dist High ATR
-1.224
Dist Low ATR
0.585
25 pivots · 24 swings · Last pivot: ↑ 0.1427 @ bar 143

Trend Analyzer 1H

1H ↓ down down_bearish_transition_grind
Confidence 57%

Context

phase transition
structure bearish_transition
breakout breakout_confirmed
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk mid_range
htf unknown
Scores
Direction Score 0.285
Strength Score 0.579
Quality Score 0.370
Cleanliness Score 0.241
Structural Quality 0.476
Pullback Score 0.435
Exhaustion Score 0.483
Continuation Score 0.569
Structure Score 0.356
Volatility Expansion 0.029
Momentum Type Score 0.630
Risk Score 0.415
Features
Ema20 Slope
-0.112
Ema50 Slope
-0.062
Ema Alignment Score
0.000
Price Vs Ema20
-0.775
Price Vs Ema50
-1.316
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
-1.000
Bars Since Last Bos
8.000
Candle Overlap Ratio
1.000
Wick Ratio
0.518
Trend Efficiency
0.539
Impulse Strength
3.605
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.435
Pullback Depth Atr
1.567
Extension From Mean
-1.316
Impulse Decay Score
0.745
Opposing Wick Pressure
0.279
Volatility Percentile
0.000
Volatility Delta
-0.256
Body Ratio
0.456
Closes Position Ratio
0.442
Slope Consistency
0.943
Range Position
0.415
Distance To Recent High
-7.347
Distance To Recent Low
5.205
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6977ms Confidence avant OB : 72% → 72%

Order Book Imbalance

OBI Top 5 -0.001
avg -0.002 ± 0.001
OBI Top 10 0.012

Microstructure

Mid Price
0.1364
Micro Price
0.1364
Spread
0.0513%

↓ Ask Wall (Resistance)

Price
0.1370
Size
860,975.20

📌 Time Data

Start at Closed at Duration
30 Sep 2026
18:54:25
30 Sep 2026
23:50:00
4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1358 0.1431 0.1177 2.48 0.06778
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 0.1358
  • Stop Loss: 0.1431
  • Take Profit: 0.1177

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1431 - 0.1358 = 0.0073

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1358 - 0.1177 = 0.0181

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0181 / 0.0073 = 2.4795

📌 Position Size

Amount Margin Quantity Leverage
149.794 100 1102.9675 1.50
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 0.0073

Taille de position = 8 / 0.0073 = 1095.89

Taille de position USD = 1095.89 x 0.1358 = 148.82

Donc, tu peux acheter 1095.89 avec un stoploss a 0.1431

Avec un position size USD de 148.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1095.89 x 0.0073 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1095.89 x 0.0181 = 19.84

Si Take Profit atteint, tu gagneras 19.84$

Résumé

  • Taille de position 1095.89
  • Taille de position USD 148.82
  • Perte potentielle 8
  • Gain potentiel 19.84
  • Risk-Reward Ratio 2.4795

📌 Peformances

TP % Target TP $ Target
13.33 % 19.96 $
SL % Target SL $ Target
5.38 % 8.05 $
PNL PNL %
-8.05 $ -5.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.4492 % 101.37 % 15

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1177
            [entry_price] => 0.1358
            [stop_loss] => 0.14383
            [rr_ratio] => 2.25
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-10-01 04:05:00+00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1177
            [entry_price] => 0.1358
            [stop_loss] => 0.14456
            [rr_ratio] => 2.07
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-10-01 04:10:00+00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00092
            [max_drawdown] => 0.00189
            [rr_ratio] => 0.49
            [high] => 0.13769000
            [low] => 0.13488000
            [mfe_pct] => 0.68
            [mae_pct] => 1.39
            [mfe_mae_ratio] => 0.49
            [candles_analyzed] => 24
            [start_at] => 2026-09-30T18:54:25-04:00
            [end_at] => 2026-09-30T20:54:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00202
            [max_drawdown] => 0.0088
            [rr_ratio] => 0.23
            [high] => 0.14460000
            [low] => 0.13378000
            [mfe_pct] => 1.49
            [mae_pct] => 6.48
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2026-09-30T18:54:25-04:00
            [end_at] => 2026-10-01T01:54:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13824000
            [high_after] => 0.14460000
            [low_before] => 0.13386000
            [low_after] => 0.13378000
            [is_new_high] => 
            [is_new_low] => 1
        )

)

V2 Shadow Analysis

Ce trade aurait-il passé les filtres v2 (quality rank + confidence + régime) ?

Quality Rank
#9 / n/a OK
seuil : top 15 · score du 30/09/2026 18:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime