19 May 2026 at 20:33:00

Long Trade on CHZ (BosPullback)

With 6785.81 CHZ at 0.0478$ per unit. Take profit: 0.05071 (6.18 %) & Stop Loss: 0.04658 (2.47 %)

Long BosPullback on CHZ (19 May 2026 at 20:33:00 to 23:20:00 - 2 hours )

With 6785.8143 CHZ at 0.04776$ per unit.

Position size of 324.0905 $
Take profit at 0.05071 (6.18 %) and Stop Loss at 0.04658 (2.47 %)

That's a 2.5 RR Trade
Duration: 2 hours

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.62
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 : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_low

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

19/05 20:01

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : range_medium

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↑ up transition bullish_transition moderate grind compression bull_high
74%
19/05 16:00
1h ↔ neutral transition bullish_transition moderate grind compression range_high
41%
19/05 18:00
15m ↔ neutral transition bullish_transition moderate balanced expansion range_medium
46%
19/05 20:15
5m ↑ up range range strong explosive expansion range_low
51%
19/05 20:25

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.65
  3. reason: bos_pullback_long|score=0|shallow|bars_since_bos=19|retests=1|break_atr=0.48|prog=0.31|zone=tested
  4. stop_price: 0.04658107
  5. tp_price: 0.05070733
  6. atr:
  7. score: 0.65
  8. confidence_pre_ob: 0.65
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 : 0.882
  12. trend_strength : 0.059
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.8032
  15. low_delta_atr : -1.7721
  16. current_swing_amp_atr : 3.9302
  17. current_swing_speed : 0.32752
  18. current_swing_efficiency : 0.323
  19. retracement_ratio : 1.6406
  20. extension_ratio : 2.3117
  21. compression_score : 0.981
  22. swing_entropy : 1
  23. breakout_strength : 0.357
  24. distance_to_last_high_atr : -3.1235
  25. distance_to_last_low_atr : 1.4151
  26. pivot_count : 29
  27. swing_count : 28
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.04665
  31. last_pivot_index:
    142
  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 : grind
  42. volatility_regime : compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.46
  46. state : neutral_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5002
  49. scores_strength_score:
    0.4951
  50. scores_quality_score:
    0.2857
  51. scores_cleanliness_score:
    0.1909
  52. scores_structural_quality:
    0.3633
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.0843
  55. scores_continuation_score:
    0.5498
  56. scores_structure_score:
    0.4053
  57. scores_volatility_expansion:
    0.024
  58. scores_momentum_type_score:
    0.4967
  59. scores_risk_score:
    0.6797
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0691
  62. features_ema50_slope:
    -0.031
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.1621
  65. features_price_vs_ema50:
    0.0346
  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:
    7
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6182
  72. features_trend_efficiency:
    0.323
  73. features_impulse_strength:
    3.9302
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    1.6406
  76. features_pullback_depth_atr:
    3.4334
  77. features_extension_from_mean:
    0.0346
  78. features_impulse_decay_score:
    0
  79. features_opposing_wick_pressure:
    0.3252
  80. features_volatility_percentile:
    0.04
  81. features_volatility_delta:
    -0.3227
  82. features_body_ratio:
    0.339
  83. features_closes_position_ratio:
    0.434
  84. features_slope_consistency:
    0.8925
  85. features_range_position:
    0.6797
  86. features_distance_to_recent_high:
    -3.4895
  87. features_distance_to_recent_low:
    7.4064
  88. features_had_recent_range:
    1
  89. features_had_recent_compression:
    0
  90. features_post_break_hl_count:
    0
  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 : 0.0304
  99. obi_top10 : 0.0483
  100. micro_price : 0.04771616
  101. spread_pct : 0.02096
  102. mid_price : 0.047715
  103. bid_wall_price :
  104. bid_wall_size :
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.0482
  107. ask_wall_size : 2384974.8
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0408
  111. obi_top5_std : 0.0182
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7097
  115. aggregation_tick : 0.0001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-15 02:00:00
        [price] => 0.04314
        [kind] => low
        [label] => LL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-15 03:00:00
        [price] => 0.04403
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-15 07:00:00
        [price] => 0.0461
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 0.04256
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-15 22:00:00
        [price] => 0.04688
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 0.04268
        [kind] => low
        [label] => HL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 17:00:00
        [price] => 0.04903
        [kind] => high
        [label] => HH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 0.0467
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-17 04:00:00
        [price] => 0.04965
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-17 05:00:00
        [price] => 0.04764
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-17 09:00:00
        [price] => 0.04948
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 0.04712
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 0.04873
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 0.04502
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-18 05:00:00
        [price] => 0.04803
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-18 06:00:00
        [price] => 0.04623
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-18 16:00:00
        [price] => 0.04958
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 0.04804
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-19 01:00:00
        [price] => 0.05021
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 0.04665
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-18 22:15:00
        [price] => 0.04992
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-18 22:45:00
        [price] => 0.04843
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-18 23:45:00
        [price] => 0.04977
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-19 00:30:00
        [price] => 0.04876
        [kind] => low
        [label] => HL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-19 01:45:00
        [price] => 0.05021
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-19 04:15:00
        [price] => 0.04833
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-19 06:30:00
        [price] => 0.0495
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-19 08:00:00
        [price] => 0.04757
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-19 08:15:00
        [price] => 0.04875
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-19 10:45:00
        [price] => 0.0471
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-19 11:15:00
        [price] => 0.04783
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-19 13:45:00
        [price] => 0.04665
        [kind] => low
        [label] => LL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-19 14:30:00
        [price] => 0.04739
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-19 17:00:00
        [price] => 0.0467
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-19 17:45:00
        [price] => 0.04736
        [kind] => high
        [label] => LH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-19 18:00:00
        [price] => 0.04676
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-19 19:30:00
        [price] => 0.04778
        [kind] => high
        [label] => HH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-19 20:00:00
        [price] => 0.04706
        [kind] => low
        [label] => HL
    )
    
  161. bos_level_long : 0.04958
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.04665
  165. levels_hl_timestamp: 2026-05-19 13:00:00
  166. levels_hh_price:
    0.05021
  167. levels_lh_price:
    0.05021
  168. levels_lh_timestamp: 2026-05-19 01:00:00
  169. levels_ll_price:
    0.04665
  170. strategy_details
  171. demand_zone_top:
    0.04803
  172. demand_zone_bottom:
    0.04623
  173. demand_zone_mid:
    0.04713
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.656
  176. strategy_details
  177. supply_zone_top:
    0.05021
  178. supply_zone_bottom:
    0.04843
  179. supply_zone_mid:
    0.04932
  180. supply_zone_freshness: tested
  181. supply_zone_strength:
    0.6922
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : range_medium
  186. ¸

Signaux confirmants (8)

# Heure Entry Δ
1 20:33 0.04776000 0%
2 20:38 0.04776000 0%
3 20:41 0.04776000 0%
4 20:45 0.04776000 0%
5 21:11 0.04777000 +0.021%
6 21:34 0.04776000 0%
7 21:40 0.04777000 +0.021%
8 21:44 0.04777000 +0.021%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 88%

Trend

Trend Strength
0.059
Persistence
0.500
High Δ ATR
0.803
Low Δ ATR
-1.772

Current Swing

Amp ATR
3.930
Speed
0.328
Efficiency
0.323

Structure

Retracement
1.641
Extension
2.312
Compression
0.981
Entropy
1.000
Breakout Str.
0.357
Dist High ATR
-3.124
Dist Low ATR
1.415
29 pivots · 28 swings · Last pivot: ↓ 0.0467 @ bar 142

Trend Analyzer 1H

1H ↔ neutral neutral_range_grind
Confidence 46%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility compression
risk premium
htf unknown
Scores
Direction Score 0.500
Strength Score 0.495
Quality Score 0.286
Cleanliness Score 0.191
Structural Quality 0.363
Pullback Score 1.000
Exhaustion Score 0.084
Continuation Score 0.550
Structure Score 0.405
Volatility Expansion 0.024
Momentum Type Score 0.497
Risk Score 0.680
Features
Ema20 Slope
-0.069
Ema50 Slope
-0.031
Ema Alignment Score
0.667
Price Vs Ema20
0.162
Price Vs Ema50
0.035
Recent Hh Hl Score
0.550
Recent Lh Ll Score
0.450
Last Bos Direction
-1.000
Bars Since Last Bos
7.000
Candle Overlap Ratio
1.000
Wick Ratio
0.618
Trend Efficiency
0.323
Impulse Strength
3.930
Directional Candle Ratio
0.550
Pullback Depth Ratio
1.641
Pullback Depth Atr
3.433
Extension From Mean
0.035
Impulse Decay Score
0.000
Opposing Wick Pressure
0.325
Volatility Percentile
0.040
Volatility Delta
-0.323
Body Ratio
0.339
Closes Position Ratio
0.434
Slope Consistency
0.893
Range Position
0.680
Distance To Recent High
-3.490
Distance To Recent Low
7.406
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7097ms Confidence avant OB : 65%65%

Order Book Imbalance

OBI Top 5 0.030
avg 0.041 ± 0.018
OBI Top 10 0.048

Microstructure

Mid Price
0.0477
Micro Price
0.0477
Spread
0.0210%

↓ Ask Wall (Resistance)

Price
0.0482
Size
2,384,974.80

📌 Time Data

Start at Closed at Duration
19 May 2026
20:33:00
19 May 2026
23:20:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04776 0.04658 0.05071 2.5 0.02411
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 0.04776
  • Stop Loss: 0.04658
  • Take Profit: 0.05071

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04658 - 0.04776 = -0.00118

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04776 - 0.05071 = -0.00295

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00295 / -0.00118 = 2.5

📌 Position Size

Amount Margin Quantity Leverage
324.0905 100 6785.8143 3.24
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 -0.00118

Taille de position = 8 / -0.00118 = -6779.66

Taille de position USD = -6779.66 x 0.04776 = -323.8

Donc, tu peux acheter -6779.66 avec un stoploss a 0.04658

Avec un position size USD de -323.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6779.66 x -0.00118 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6779.66 x -0.00295 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -6779.66
  • Taille de position USD -323.8
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5

📌 Peformances

TP % Target TP $ Target
6.18 % 20.02 $
SL % Target SL $ Target
2.47 % 8.01 $
PNL PNL %
-8.01 $ -2.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.057 % 123.73 % 15

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05071
            [entry_price] => 0.04776
            [stop_loss] => 0.046462
            [rr_ratio] => 2.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-05-19 23:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05071
            [entry_price] => 0.04776
            [stop_loss] => 0.046344
            [rr_ratio] => 2.08
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-05-19 23:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05071
            [entry_price] => 0.04776
            [stop_loss] => 0.046226
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-05-19 23:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00027000000000001
            [max_drawdown] => 0.00040999999999999
            [rr_ratio] => 0.66
            [high] => 0.04803000
            [low] => 0.04735000
            [mfe_pct] => 0.57
            [mae_pct] => 0.86
            [mfe_mae_ratio] => 0.66
            [candles_analyzed] => 24
            [start_at] => 2026-05-19T20:33:00-04:00
            [end_at] => 2026-05-19T22:33:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00027000000000001
            [max_drawdown] => 0.00174
            [rr_ratio] => 0.16
            [high] => 0.04803000
            [low] => 0.04602000
            [mfe_pct] => 0.57
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 84
            [start_at] => 2026-05-19T20:33:00-04:00
            [end_at] => 2026-05-20T03:33:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04788000
            [high_after] => 0.04803000
            [low_before] => 0.04670000
            [low_after] => 0.04602000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#43 / n/a OUT
seuil : top 15 · score du 19/05/2026 20:00
Signal Confidence
65 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime