17 May 2026 at 17:22:48

Long Trade on ETH (BosPullback)

With 0.55 ETH at 2189.7$ per unit. Take profit: 2218.325 (1.31 %) & Stop Loss: 2175.2416 (0.66 %)

Long BosPullback on ETH (17 May 2026 at 17:22:48 to 18:50:00 - 1 hour )

With 0.5533 ETH at 2189.7$ per unit.

Position size of 1211.5845 $
Take profit at 2218.325 (1.31 %) and Stop Loss at 2175.2416 (0.66 %)

That's a 1.98 RR Trade
Duration: 1 hour

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.21
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 : range

rules_regime : bear_low

rules_regime_5m : range_low

Score : 0

ml_regime : range_medium

rules_regime : bear_low

rules_regime_5m : range_low

tf_aligned :

17/05 17:03

BTC Correlation Coin Market Regime

1H_regime : bear_medium

15m_regime : range_low

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate grind compression bear_high
69%
17/05 12:00
1h ↔ neutral range range moderate balanced compression bear_low
55%
17/05 17:00
15m ↑ up transition bullish_transition moderate grind compression range_low
50%
17/05 17:15
5m ↑ up range range strong balanced compression range_low
49%
17/05 17:15

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.72
  3. reason: bos_pullback_long|score=1|shallow|bars_since_bos=9|retests=1|break_atr=0.78|prog=0.72|zone=invalid
  4. stop_price: 2175.24157756
  5. tp_price: 2218.325
  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 : range
  11. confidence : 0.736
  12. trend_strength : -0.1322
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2153
  15. low_delta_atr : 1.0978
  16. current_swing_amp_atr : 2.5282
  17. current_swing_speed : 0.50564
  18. current_swing_efficiency : 0.4122
  19. retracement_ratio : 0.7084
  20. extension_ratio : 1.0461
  21. compression_score : 0.9112
  22. swing_entropy : 1
  23. breakout_strength : -3.0268
  24. distance_to_last_high_atr : -0.7379
  25. distance_to_last_low_atr : 1.929
  26. pivot_count : 22
  27. swing_count : 21
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    2176.02
  31. last_pivot_index:
    145
  32. ¸
  33. trend_analyzer_1h
  34. direction : neutral
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : low
  41. momentum_type : balanced
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.42
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4868
  49. scores_strength_score:
    0.5241
  50. scores_quality_score:
    0.3403
  51. scores_cleanliness_score:
    0.1971
  52. scores_structural_quality:
    0.4574
  53. scores_pullback_score:
    0.7084
  54. scores_exhaustion_score:
    0.3444
  55. scores_continuation_score:
    0.4664
  56. scores_structure_score:
    0.5913
  57. scores_volatility_expansion:
    0.1519
  58. scores_momentum_type_score:
    0.495
  59. scores_risk_score:
    0.1915
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.024
  62. features_ema50_slope:
    -0.0518
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.5315
  65. features_price_vs_ema50:
    -0.7974
  66. features_recent_hh_hl_score:
    0.4737
  67. features_recent_lh_ll_score:
    0.5263
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    9
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6058
  72. features_trend_efficiency:
    0.4122
  73. features_impulse_strength:
    3.6519
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.7084
  76. features_pullback_depth_atr:
    2.587
  77. features_extension_from_mean:
    -0.7974
  78. features_impulse_decay_score:
    0.477
  79. features_opposing_wick_pressure:
    0.3355
  80. features_volatility_percentile:
    0.08
  81. features_volatility_delta:
    -0.1442
  82. features_body_ratio:
    0.3775
  83. features_closes_position_ratio:
    0.6128
  84. features_slope_consistency:
    0.268
  85. features_range_position:
    0.1915
  86. features_distance_to_recent_high:
    -16.983
  87. features_distance_to_recent_low:
    4.0215
  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 : -0.015
  99. obi_top10 : -0.015
  100. micro_price : 2190.95455113
  101. spread_pct : 0.000456
  102. mid_price : 2190.955
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price :
  107. ask_wall_size :
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0325
  111. obi_top5_std : 0.0115
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7390
  115. aggregation_tick : 10
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-11 23:00:00
        [price] => 2316.6
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 2255.75
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-12 18:00:00
        [price] => 2290.83
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-12 20:00:00
        [price] => 2272.18
        [kind] => low
        [label] => HL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-13 05:00:00
        [price] => 2322.6
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-13 11:00:00
        [price] => 2233.62
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-13 20:00:00
        [price] => 2270
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-13 23:00:00
        [price] => 2238.06
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-14 02:00:00
        [price] => 2275.16
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-14 10:00:00
        [price] => 2245.43
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-14 13:00:00
        [price] => 2318.42
        [kind] => high
        [label] => HH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 2236.9
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-15 03:00:00
        [price] => 2271.15
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 2204.21
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-15 13:00:00
        [price] => 2232.44
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-16 05:00:00
        [price] => 2161
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-16 10:00:00
        [price] => 2188
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 2166.96
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-17 08:00:00
        [price] => 2198.03
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 2176.02
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-16 18:00:00
        [price] => 2179.16
        [kind] => low
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-16 18:15:00
        [price] => 2182.6
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-16 19:00:00
        [price] => 2178.47
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-16 20:00:00
        [price] => 2185.25
        [kind] => high
        [label] => HH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-16 20:45:00
        [price] => 2172.61
        [kind] => low
        [label] => LL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 2182.84
        [kind] => high
        [label] => LH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 2194.47
        [kind] => high
        [label] => HH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 02:15:00
        [price] => 2180.33
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 06:15:00
        [price] => 2197.5
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 07:30:00
        [price] => 2187.25
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 08:30:00
        [price] => 2198.03
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 09:15:00
        [price] => 2187.26
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 09:45:00
        [price] => 2194.81
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 2177.4
        [kind] => low
        [label] => LL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 11:15:00
        [price] => 2180.86
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 2189.15
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 13:15:00
        [price] => 2176.02
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 2187.9
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-17 14:15:00
        [price] => 2178.77
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-17 15:30:00
        [price] => 2193.68
        [kind] => high
        [label] => HH
    )
    
  163. bos_level_long : 2188
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    2176.02
  167. levels_hl_timestamp: 2026-05-17 13:00:00
  168. levels_hh_price:
    2198.03
  169. levels_lh_price:
    2198.03
  170. levels_lh_timestamp: 2026-05-17 08:00:00
  171. levels_ll_price:
    2176.02
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    2198.03
  175. supply_zone_bottom:
    2184.82
  176. supply_zone_mid:
    2191.425
  177. supply_zone_freshness: tested
  178. supply_zone_strength:
    0.8215
  179. ¸
  180. regimes
  181. 1H : bear_medium
  182. 15m : range_low
  183. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 17:22 2189.70000000 0%
2 17:27 2189.70000000 0%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 74%

Trend

Trend Strength
-0.132
Persistence
0.500
High Δ ATR
1.215
Low Δ ATR
1.098

Current Swing

Amp ATR
2.528
Speed
0.506
Efficiency
0.412

Structure

Retracement
0.708
Extension
1.046
Compression
0.911
Entropy
1.000
Breakout Str.
-3.027
Dist High ATR
-0.738
Dist Low ATR
1.929
22 pivots · 21 swings · Last pivot: ↓ 2,176.0200 @ bar 145

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 42%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.487
Strength Score 0.524
Quality Score 0.340
Cleanliness Score 0.197
Structural Quality 0.457
Pullback Score 0.708
Exhaustion Score 0.344
Continuation Score 0.466
Structure Score 0.591
Volatility Expansion 0.152
Momentum Type Score 0.495
Risk Score 0.192
Features
Ema20 Slope
0.024
Ema50 Slope
-0.052
Ema Alignment Score
0.333
Price Vs Ema20
0.532
Price Vs Ema50
-0.797
Recent Hh Hl Score
0.474
Recent Lh Ll Score
0.526
Last Bos Direction
1.000
Bars Since Last Bos
9.000
Candle Overlap Ratio
1.000
Wick Ratio
0.606
Trend Efficiency
0.412
Impulse Strength
3.652
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.708
Pullback Depth Atr
2.587
Extension From Mean
-0.797
Impulse Decay Score
0.477
Opposing Wick Pressure
0.336
Volatility Percentile
0.080
Volatility Delta
-0.144
Body Ratio
0.378
Closes Position Ratio
0.613
Slope Consistency
0.268
Range Position
0.192
Distance To Recent High
-16.983
Distance To Recent Low
4.022
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7390ms Confidence avant OB : 72%72%

Order Book Imbalance

OBI Top 5 -0.015
avg -0.033 ± 0.012
OBI Top 10 -0.015

Microstructure

Mid Price
2,190.9550
Micro Price
2,190.9546
Spread
0.0005%

📌 Time Data

Start at Closed at Duration
17 May 2026
17:22:48
17 May 2026
18:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2189.7 2175.2416 2218.325 1.98 2454.68
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 2189.7
  • Stop Loss: 2175.2416
  • Take Profit: 2218.325

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2175.2416 - 2189.7 = -14.4584

  • Récompense (distance jusqu'au take profit):

    E - TP = 2189.7 - 2218.325 = -28.625

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -28.625 / -14.4584 = 1.9798

📌 Position Size

Amount Margin Quantity Leverage
1211.5845 100 0.5533 12.12
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 -14.4584

Taille de position = 8 / -14.4584 = -0.55

Taille de position USD = -0.55 x 2189.7 = -1204.34

Donc, tu peux acheter -0.55 avec un stoploss a 2175.2416

Avec un position size USD de -1204.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.55 x -14.4584 = 7.95

Si Stop Loss atteint, tu perdras 7.95$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.55 x -28.625 = 15.74

Si Take Profit atteint, tu gagneras 15.74$

Résumé

  • Taille de position -0.55
  • Taille de position USD -1204.34
  • Perte potentielle 7.95
  • Gain potentiel 15.74
  • Risk-Reward Ratio 1.9798

📌 Peformances

TP % Target TP $ Target
1.31 % 15.84 $
SL % Target SL $ Target
0.66 % 8 $
PNL PNL %
-8 $ -0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7458 % 112.95 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.7
            [stop_loss] => 2173.79576
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-17 18:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.7
            [stop_loss] => 2172.34992
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-17 19:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.7
            [stop_loss] => 2170.90408
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-17 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.7
            [stop_loss] => 2168.0124
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.02
            [max_drawdown] => 23.27
            [rr_ratio] => 0.22
            [high] => 2194.72000000
            [low] => 2166.43000000
            [mfe_pct] => 0.23
            [mae_pct] => 1.06
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2026-05-17T17:22:48-04:00
            [end_at] => 2026-05-17T19:22:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.02
            [max_drawdown] => 102.16
            [rr_ratio] => 0.05
            [high] => 2194.72000000
            [low] => 2087.54000000
            [mfe_pct] => 0.23
            [mae_pct] => 4.67
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2026-05-17T17:22:48-04:00
            [end_at] => 2026-05-18T00:22:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2193.68000000
            [high_after] => 2194.72000000
            [low_before] => 2176.50000000
            [low_after] => 2087.54000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#33 / n/a OUT
seuil : top 15 · score du 17/05/2026 17:00
Signal Confidence
72 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime