18 May 2026 at 12:03:50

Long Trade on ORDI (BosPullback)

With 66.76 ORDI at 4.123$ per unit. Take profit: 4.4226 (7.27 %) & Stop Loss: 4.0032 (2.91 %)

Long BosPullback on ORDI (18 May 2026 at 12:03:50 to 19:45:00 - 4 days )

With 66.7573 ORDI at 4.123$ per unit.

Position size of 275.2405 $
Take profit at 4.4226 (7.27 %) and Stop Loss at 4.0032 (2.91 %)

That's a 2.5 RR Trade
Duration: 4 days

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 8.2
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 : bear_low

Score : 0

ml_regime : range_medium

rules_regime : bear_medium_confirmed

rules_regime_5m : range_low

tf_aligned :

18/05 12:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : range_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↓ down transition bearish_transition moderate fading compression bear_high
66%
16/05 08:00
1h ↔ neutral transition bullish_transition moderate balanced normal bear_high
68%
17/05 16:00
15m ↔ neutral range range moderate fading compression range_medium
46%
17/05 17:45
5m ↑ up range range moderate fading compression range_low
48%
17/05 17:50

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 1
  3. reason: bos_pullback_long|score=4|shallow|bars_since_bos=3|retests=1|break_atr=0.72|prog=0.48|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 4.003163
  5. tp_price: 4.42259251
  6. atr:
  7. score: 0.93
  8. confidence_pre_ob: 0.93
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 : 0.754
  12. trend_strength : -0.1228
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2952
  15. low_delta_atr : 1.5882
  16. current_swing_amp_atr : 3.4904
  17. current_swing_speed : 0.49862
  18. current_swing_efficiency : 0.4544
  19. retracement_ratio : 1.56
  20. extension_ratio : 0.9249
  21. compression_score : 0.8575
  22. swing_entropy : 1
  23. breakout_strength : -0.5705
  24. distance_to_last_high_atr : -1.8657
  25. distance_to_last_low_atr : 1.7424
  26. pivot_count : 33
  27. swing_count : 32
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    4.244
  31. last_pivot_index:
    146
  32. ¸
  33. trend_analyzer_1h
  34. direction : down
  35. phase : range
  36. structure : range
  37. breakout_state : none
  38. quality : volatile
  39. strength : moderate
  40. exhaustion : medium
  41. momentum_type : grind
  42. volatility_regime : volatile_reversal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.45
  46. state : down_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.3991
  49. scores_strength_score:
    0.5191
  50. scores_quality_score:
    0.3249
  51. scores_cleanliness_score:
    0.2576
  52. scores_structural_quality:
    0.38
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.4217
  55. scores_continuation_score:
    0.4081
  56. scores_structure_score:
    0.5835
  57. scores_volatility_expansion:
    0.808
  58. scores_momentum_type_score:
    0.6208
  59. scores_risk_score:
    0.2509
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0169
  62. features_ema50_slope:
    -0.0376
  63. features_ema_alignment_score:
    0
  64. features_price_vs_ema20:
    -0.347
  65. features_price_vs_ema50:
    -1.3695
  66. features_recent_hh_hl_score:
    0.45
  67. features_recent_lh_ll_score:
    0.55
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4847
  72. features_trend_efficiency:
    0.4544
  73. features_impulse_strength:
    3.4904
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.56
  76. features_pullback_depth_atr:
    3.5141
  77. features_extension_from_mean:
    -1.3695
  78. features_impulse_decay_score:
    0.5376
  79. features_opposing_wick_pressure:
    0.3473
  80. features_volatility_percentile:
    0.68
  81. features_volatility_delta:
    0.4074
  82. features_body_ratio:
    0.562
  83. features_closes_position_ratio:
    0.5861
  84. features_slope_consistency:
    0.5406
  85. features_range_position:
    0.2509
  86. features_distance_to_recent_high:
    -9.9886
  87. features_distance_to_recent_low:
    3.345
  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 : 0.2221
  99. obi_top10 : 0.1846
  100. micro_price : 4.12152295
  101. spread_pct : 0.048532
  102. mid_price : 4.122
  103. bid_wall_price : 4.09
  104. bid_wall_size : 43139.25
  105. bid_wall_dist_atr :
  106. ask_wall_price : 4.13
  107. ask_wall_size : 28067.646
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.2224
  111. obi_top5_std : 0.0078
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7096
  115. aggregation_tick : 0.01
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-14 08:00:00
        [price] => 4.547
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-14 20:00:00
        [price] => 4.768
        [kind] => high
        [label] => HH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 4.417
        [kind] => low
        [label] => LL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-15 07:00:00
        [price] => 4.575
        [kind] => high
        [label] => LH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 4.261
        [kind] => low
        [label] => LL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-15 14:00:00
        [price] => 4.417
        [kind] => high
        [label] => LH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 4.082
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 05:00:00
        [price] => 4.225
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 4.119
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-16 11:00:00
        [price] => 4.361
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 4.225
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 02:00:00
        [price] => 4.353
        [kind] => high
        [label] => LH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 09:00:00
        [price] => 4.279
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 4.389
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 4.231
        [kind] => low
        [label] => LL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 4.318
        [kind] => high
        [label] => LH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 3.907
        [kind] => low
        [label] => LL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 4.16
        [kind] => high
        [label] => LH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 02:00:00
        [price] => 4.01
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 4.244
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-17 11:15:00
        [price] => 4.364
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-17 13:30:00
        [price] => 4.231
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-17 14:00:00
        [price] => 4.286
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-17 15:45:00
        [price] => 4.291
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 4.253
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-17 17:45:00
        [price] => 4.318
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 19:30:00
        [price] => 3.907
        [kind] => low
        [label] => LL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 4.16
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-17 21:45:00
        [price] => 4.068
        [kind] => low
        [label] => HL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-17 22:30:00
        [price] => 4.14
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 00:15:00
        [price] => 4.045
        [kind] => low
        [label] => LL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 00:45:00
        [price] => 4.095
        [kind] => high
        [label] => LH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 02:15:00
        [price] => 4.01
        [kind] => low
        [label] => LL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 04:45:00
        [price] => 4.105
        [kind] => high
        [label] => LH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 06:30:00
        [price] => 4.029
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 4.218
        [kind] => high
        [label] => HH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 4.161
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 4.244
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 4.09
        [kind] => low
        [label] => LL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-18 11:15:00
        [price] => 4.16
        [kind] => high
        [label] => LH
    )
    
  163. bos_level_long : 4.16
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    4.01
  167. levels_hl_timestamp: 2026-05-18 02:00:00
  168. levels_hh_price:
    4.244
  169. levels_lh_price:
    4.244
  170. levels_lh_timestamp: 2026-05-18 09:00:00
  171. levels_ll_price:
    4.01
  172. strategy_details
  173. demand_zone_top:
    4.14
  174. demand_zone_bottom:
    4.01
  175. demand_zone_mid:
    4.075
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.7499
  178. strategy_details
  179. supply_zone_top:
    4.318
  180. supply_zone_bottom:
    4.231
  181. supply_zone_mid:
    4.2745
  182. supply_zone_freshness: tested
  183. supply_zone_strength:
    0.9247
  184. ¸
  185. regimes
  186. 1H : bear_high
  187. 15m : range_high
  188. ¸

Signaux confirmants (2)

# Heure Entry Δ
1 12:03 4.12300000 0%
2 12:13 4.13300000 +0.243%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 75%

Trend

Trend Strength
-0.123
Persistence
0.500
High Δ ATR
1.295
Low Δ ATR
1.588

Current Swing

Amp ATR
3.490
Speed
0.499
Efficiency
0.454

Structure

Retracement
1.560
Extension
0.925
Compression
0.858
Entropy
1.000
Breakout Str.
-0.571
Dist High ATR
-1.866
Dist Low ATR
1.742
33 pivots · 32 swings · Last pivot: ↑ 4.2440 @ bar 146

Trend Analyzer 1H

1H ↓ down down_range_grind
Confidence 45%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility volatile_reversal
risk discount
htf unknown
Scores
Direction Score 0.399
Strength Score 0.519
Quality Score 0.325
Cleanliness Score 0.258
Structural Quality 0.380
Pullback Score 1.000
Exhaustion Score 0.422
Continuation Score 0.408
Structure Score 0.584
Volatility Expansion 0.808
Momentum Type Score 0.621
Risk Score 0.251
Features
Ema20 Slope
0.017
Ema50 Slope
-0.038
Ema Alignment Score
0.000
Price Vs Ema20
-0.347
Price Vs Ema50
-1.370
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.485
Trend Efficiency
0.454
Impulse Strength
3.490
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.560
Pullback Depth Atr
3.514
Extension From Mean
-1.370
Impulse Decay Score
0.538
Opposing Wick Pressure
0.347
Volatility Percentile
0.680
Volatility Delta
0.407
Body Ratio
0.562
Closes Position Ratio
0.586
Slope Consistency
0.541
Range Position
0.251
Distance To Recent High
-9.989
Distance To Recent Low
3.345
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7096ms Confidence avant OB : 93%100%

Order Book Imbalance

OBI Top 5 0.222
avg 0.222 ± 0.008
OBI Top 10 0.185

Microstructure

Mid Price
4.1220
Micro Price
4.1215
Spread
0.0485%

↑ Bid Wall (Support)

Price
4.0900
Size
43,139.25

↓ Ask Wall (Resistance)

Price
4.1300
Size
28,067.65

📌 Time Data

Start at Closed at Duration
18 May 2026
12:03:50
22 May 2026
19:45:00
4 days

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.123 4.0032 4.4226 2.5 3.358
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 4.123
  • Stop Loss: 4.0032
  • Take Profit: 4.4226

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.0032 - 4.123 = -0.1198

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.123 - 4.4226 = -0.2996

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2996 / -0.1198 = 2.5008

📌 Position Size

Amount Margin Quantity Leverage
275.2405 100 66.7573 2.75
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 -0.1198

Taille de position = 8 / -0.1198 = -66.78

Taille de position USD = -66.78 x 4.123 = -275.33

Donc, tu peux acheter -66.78 avec un stoploss a 4.0032

Avec un position size USD de -275.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -66.78 x -0.1198 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -66.78 x -0.2996 = 20.01

Si Take Profit atteint, tu gagneras 20.01$

Résumé

  • Taille de position -66.78
  • Taille de position USD -275.33
  • Perte potentielle 8
  • Gain potentiel 20.01
  • Risk-Reward Ratio 2.5008

📌 Peformances

TP % Target TP $ Target
7.27 % 20 $
SL % Target SL $ Target
2.91 % 8 $
PNL PNL %
-8 $ -2.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.1475 % 142.74 % 75

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.121
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 4.24400000
            [low] => 4.14200000
            [mfe_pct] => 2.93
            [mae_pct] => -0.46
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T12:03:50-04:00
            [end_at] => 2026-05-18T14:03:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.121
            [max_drawdown] => 0.033
            [rr_ratio] => 3.67
            [high] => 4.24400000
            [low] => 4.09000000
            [mfe_pct] => 2.93
            [mae_pct] => 0.8
            [mfe_mae_ratio] => 3.67
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T12:03:50-04:00
            [end_at] => 2026-05-18T19:03:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.14900000
            [high_after] => 4.24400000
            [low_before] => 4.02900000
            [low_after] => 4.09000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#54 / n/a OUT
seuil : top 15 · score du 18/05/2026 11:00
Signal Confidence
100 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime