17 May 2026 at 15:07:46

Long Trade on ETH (BosPullback)

With 0.56 ETH at 2189.29$ per unit. Take profit: 2218.325 (1.33 %) & Stop Loss: 2175.1194 (0.65 %)

Long BosPullback on ETH (17 May 2026 at 15:07:46 to 18:50:00 - 3 hours )

With 0.5645 ETH at 2189.29$ per unit.

Position size of 1235.958 $
Take profit at 2218.325 (1.33 %) and Stop Loss at 2175.1194 (0.65 %)

That's a 2.05 RR Trade
Duration: 3 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.32
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 15:01

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 ↓ down range range moderate grind normal bear_medium
72%
17/05 14:00
15m ↓ down range range moderate grind expansion range_low
50%
17/05 14:45
5m ↔ neutral range range strong balanced compression range_low
47%
17/05 15:00

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=7|retests=1|break_atr=0.77|prog=0.60|zone=invalid
  4. stop_price: 2175.11935617
  5. tp_price: 2218.325
  6. atr:
  7. score: 0.79
  8. confidence_pre_ob: 0.79
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 : 1.2068
  15. low_delta_atr : 1.09
  16. current_swing_amp_atr : 2.5282
  17. current_swing_speed : 0.50563
  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 : -2.6866
  24. distance_to_last_high_atr : -1.0515
  25. distance_to_last_low_atr : 1.5966
  26. pivot_count : 20
  27. swing_count : 19
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    2176.02
  31. last_pivot_index:
    147
  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 : medium
  41. momentum_type : balanced
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.415
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.4805
  49. scores_strength_score:
    0.5066
  50. scores_quality_score:
    0.3411
  51. scores_cleanliness_score:
    0.1864
  52. scores_structural_quality:
    0.4676
  53. scores_pullback_score:
    0.7084
  54. scores_exhaustion_score:
    0.3805
  55. scores_continuation_score:
    0.4531
  56. scores_structure_score:
    0.5901
  57. scores_volatility_expansion:
    0.294
  58. scores_momentum_type_score:
    0.5087
  59. scores_risk_score:
    0.1751
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0141
  62. features_ema50_slope:
    -0.0722
  63. features_ema_alignment_score:
    0.3333
  64. features_price_vs_ema20:
    0.2971
  65. features_price_vs_ema50:
    -1.2045
  66. features_recent_hh_hl_score:
    0.4706
  67. features_recent_lh_ll_score:
    0.5294
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6273
  72. features_trend_efficiency:
    0.4122
  73. features_impulse_strength:
    3.6518
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    0.7084
  76. features_pullback_depth_atr:
    2.587
  77. features_extension_from_mean:
    -1.2045
  78. features_impulse_decay_score:
    0.477
  79. features_opposing_wick_pressure:
    0.3372
  80. features_volatility_percentile:
    0.08
  81. features_volatility_delta:
    0.069
  82. features_body_ratio:
    0.387
  83. features_closes_position_ratio:
    0.5783
  84. features_slope_consistency:
    0.3905
  85. features_range_position:
    0.1751
  86. features_distance_to_recent_high:
    -17.3077
  87. features_distance_to_recent_low:
    3.6729
  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 : 0.0238
  99. obi_top10 : 0.0238
  100. micro_price : 2189.38032348
  101. spread_pct : 0.000457
  102. mid_price : 2189.385
  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 : 0.0331
  111. obi_top5_std : 0.043
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7277
  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 18:00:00
        [price] => 2345.39
        [kind] => high
        [label] => 
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-11 21:00:00
        [price] => 2294.04
        [kind] => low
        [label] => 
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-11 23:00:00
        [price] => 2316.6
        [kind] => high
        [label] => 
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-12 12:00:00
        [price] => 2255.75
        [kind] => low
        [label] => LL
    )
    
  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 14:45:00
        [price] => 2184.93
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-16 15:45:00
        [price] => 2178.76
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-16 17:00:00
        [price] => 2183.24
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-16 19:00:00
        [price] => 2178.47
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-16 20:00:00
        [price] => 2185.25
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-16 20:45:00
        [price] => 2172.61
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-16 21:00:00
        [price] => 2182.84
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 01:00:00
        [price] => 2194.47
        [kind] => high
        [label] => HH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 02:15:00
        [price] => 2180.33
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 06:15:00
        [price] => 2197.5
        [kind] => high
        [label] => HH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-17 07:30:00
        [price] => 2187.25
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-17 08:30:00
        [price] => 2198.03
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-17 09:15:00
        [price] => 2187.26
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-17 09:45:00
        [price] => 2194.81
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-17 10:15:00
        [price] => 2177.4
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-17 11:15:00
        [price] => 2180.86
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-17 12:00:00
        [price] => 2189.15
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-17 13:15:00
        [price] => 2176.02
        [kind] => low
        [label] => LL
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 2187.9
        [kind] => high
        [label] => LH
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-17 14:15:00
        [price] => 2178.77
        [kind] => low
        [label] => HL
    )
    
  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 15:07 2189.29000000 0%
2 15:15 2188.56000000 -0.033%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 74%

Trend

Trend Strength
-0.132
Persistence
0.500
High Δ ATR
1.207
Low Δ ATR
1.090

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.
-2.687
Dist High ATR
-1.052
Dist Low ATR
1.597
20 pivots · 19 swings · Last pivot: ↓ 2,176.0200 @ bar 147

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 42%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum balanced
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.481
Strength Score 0.507
Quality Score 0.341
Cleanliness Score 0.186
Structural Quality 0.468
Pullback Score 0.708
Exhaustion Score 0.381
Continuation Score 0.453
Structure Score 0.590
Volatility Expansion 0.294
Momentum Type Score 0.509
Risk Score 0.175
Features
Ema20 Slope
-0.014
Ema50 Slope
-0.072
Ema Alignment Score
0.333
Price Vs Ema20
0.297
Price Vs Ema50
-1.205
Recent Hh Hl Score
0.471
Recent Lh Ll Score
0.529
Last Bos Direction
1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.627
Trend Efficiency
0.412
Impulse Strength
3.652
Directional Candle Ratio
0.500
Pullback Depth Ratio
0.708
Pullback Depth Atr
2.587
Extension From Mean
-1.205
Impulse Decay Score
0.477
Opposing Wick Pressure
0.337
Volatility Percentile
0.080
Volatility Delta
0.069
Body Ratio
0.387
Closes Position Ratio
0.578
Slope Consistency
0.391
Range Position
0.175
Distance To Recent High
-17.308
Distance To Recent Low
3.673
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7277ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.024
avg 0.033 ± 0.043
OBI Top 10 0.024

Microstructure

Mid Price
2,189.3850
Micro Price
2,189.3803
Spread
0.0005%

📌 Time Data

Start at Closed at Duration
17 May 2026
15:07:46
17 May 2026
18:50:00
3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2189.29 2175.1194 2218.325 2.05 2451.05
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 2189.29
  • Stop Loss: 2175.1194
  • Take Profit: 2218.325

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2175.1194 - 2189.29 = -14.1706

  • Récompense (distance jusqu'au take profit):

    E - TP = 2189.29 - 2218.325 = -29.035

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -29.035 / -14.1706 = 2.049

📌 Position Size

Amount Margin Quantity Leverage
1235.958 100 0.5645 12.36
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 -14.1706

Taille de position = 8 / -14.1706 = -0.56

Taille de position USD = -0.56 x 2189.29 = -1226

Donc, tu peux acheter -0.56 avec un stoploss a 2175.1194

Avec un position size USD de -1226$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.56 x -14.1706 = 7.94

Si Stop Loss atteint, tu perdras 7.94$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.56 x -29.035 = 16.26

Si Take Profit atteint, tu gagneras 16.26$

Résumé

  • Taille de position -0.56
  • Taille de position USD -1226
  • Perte potentielle 7.94
  • Gain potentiel 16.26
  • Risk-Reward Ratio 2.049

📌 Peformances

TP % Target TP $ Target
1.33 % 16.39 $
SL % Target SL $ Target
0.65 % 8 $
PNL PNL %
-8 $ -0.65
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7272 % 112.34 % 16

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.29
            [stop_loss] => 2173.70234
            [rr_ratio] => 1.86
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-17 18:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.29
            [stop_loss] => 2172.28528
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-17 19:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.29
            [stop_loss] => 2170.86822
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-17 19:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2218.325
            [entry_price] => 2189.29
            [stop_loss] => 2168.0341
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-05-17 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.3899999999999
            [max_drawdown] => 2.73
            [rr_ratio] => 1.61
            [high] => 2193.68000000
            [low] => 2186.56000000
            [mfe_pct] => 0.2
            [mae_pct] => 0.12
            [mfe_mae_ratio] => 1.61
            [candles_analyzed] => 24
            [start_at] => 2026-05-17T15:07:46-04:00
            [end_at] => 2026-05-17T17:07:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.4299999999998
            [max_drawdown] => 101.75
            [rr_ratio] => 0.05
            [high] => 2194.72000000
            [low] => 2087.54000000
            [mfe_pct] => 0.25
            [mae_pct] => 4.65
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2026-05-17T15:07:46-04:00
            [end_at] => 2026-05-17T22:07:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2190.72000000
            [high_after] => 2194.72000000
            [low_before] => 2176.02000000
            [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
#29 / n/a OUT
seuil : top 15 · score du 17/05/2026 15:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime