18 May 2026 at 15:04:14

Long Trade on ORDI (BosPullback)

With 65.5 ORDI at 4.205$ per unit. Take profit: 4.5103 (7.26 %) & Stop Loss: 4.0829 (2.9 %)

Long BosPullback on ORDI (18 May 2026 at 15:04:14 to 17:55:00 - 1 day )

With 65.4994 ORDI at 4.205$ per unit.

Position size of 275.4249 $
Take profit at 4.5103 (7.26 %) and Stop Loss at 4.0829 (2.9 %)

That's a 2.5 RR Trade
Duration: 1 day

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 2.43
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

rules_regime_5m : range_low

tf_aligned :

18/05 15:01

BTC Correlation Coin Market Regime

1H_regime : bear_high

15m_regime : bull_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: 0.86
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=0.69|prog=0.75|zone=tested|ob:bid_pressure(+0.07)
  4. stop_price: 4.08286146
  5. tp_price: 4.51034635
  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 : 0.839
  12. trend_strength : -0.0807
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.2416
  15. low_delta_atr : 1.1825
  16. current_swing_amp_atr : 2.237
  17. current_swing_speed : 1.1185
  18. current_swing_efficiency : 0.6311
  19. retracement_ratio : 0.6581
  20. extension_ratio : 1.0267
  21. compression_score : 0.7291
  22. swing_entropy : 1
  23. breakout_strength : -2.8823
  24. distance_to_last_high_atr : -0.5765
  25. distance_to_last_low_atr : 1.6998
  26. pivot_count : 34
  27. swing_count : 33
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    4.09
  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 : 0.502
  46. state : neutral_range_balanced
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5684
  49. scores_strength_score:
    0.6161
  50. scores_quality_score:
    0.3865
  51. scores_cleanliness_score:
    0.2671
  52. scores_structural_quality:
    0.4842
  53. scores_pullback_score:
    0.6581
  54. scores_exhaustion_score:
    0.2674
  55. scores_continuation_score:
    0.5222
  56. scores_structure_score:
    0.5909
  57. scores_volatility_expansion:
    0.4959
  58. scores_momentum_type_score:
    0.6134
  59. scores_risk_score:
    0.3461
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0076
  62. features_ema50_slope:
    -0.0398
  63. features_ema_alignment_score:
    0.6667
  64. features_price_vs_ema20:
    0.8141
  65. features_price_vs_ema50:
    0.0036
  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:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.4657
  72. features_trend_efficiency:
    0.6311
  73. features_impulse_strength:
    3.4904
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.6581
  76. features_pullback_depth_atr:
    2.297
  77. features_extension_from_mean:
    0.0036
  78. features_impulse_decay_score:
    0.4866
  79. features_opposing_wick_pressure:
    0.2898
  80. features_volatility_percentile:
    0.76
  81. features_volatility_delta:
    -0.2402
  82. features_body_ratio:
    0.5189
  83. features_closes_position_ratio:
    0.5595
  84. features_slope_consistency:
    0.2431
  85. features_range_position:
    0.3461
  86. features_distance_to_recent_high:
    -8.0891
  87. features_distance_to_recent_low:
    4.2816
  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 : 0.1599
  99. obi_top10 : 0.1886
  100. micro_price : 4.19481359
  101. spread_pct : 0.071531
  102. mid_price : 4.1955
  103. bid_wall_price : 4.17
  104. bid_wall_size : 32394.786
  105. bid_wall_dist_atr :
  106. ask_wall_price : 4.22
  107. ask_wall_size : 16300.498
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.1754
  111. obi_top5_std : 0.0327
  112. pressure_side : bid
  113. collection_mode : ws_rolling
  114. collection_ms : 7187
  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 20:00:00
        [price] => 4.768
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-15 01:00:00
        [price] => 4.417
        [kind] => low
        [label] => LL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-15 07:00:00
        [price] => 4.575
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-15 10:00:00
        [price] => 4.261
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-15 14:00:00
        [price] => 4.417
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-16 03:00:00
        [price] => 4.082
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-16 05:00:00
        [price] => 4.225
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-16 06:00:00
        [price] => 4.119
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-16 11:00:00
        [price] => 4.361
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-16 22:00:00
        [price] => 4.225
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-17 02:00:00
        [price] => 4.353
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-17 09:00:00
        [price] => 4.279
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-17 10:00:00
        [price] => 4.389
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 4.231
        [kind] => low
        [label] => LL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 4.318
        [kind] => high
        [label] => LH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 3.907
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 4.16
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-18 02:00:00
        [price] => 4.01
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-18 09:00:00
        [price] => 4.244
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 4.09
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-17 15:45:00
        [price] => 4.291
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 4.253
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-17 17:45:00
        [price] => 4.318
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-17 19:30:00
        [price] => 3.907
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-17 21:00:00
        [price] => 4.16
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-17 21:45:00
        [price] => 4.068
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-17 22:30:00
        [price] => 4.14
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-18 00:15:00
        [price] => 4.045
        [kind] => low
        [label] => LL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-18 00:45:00
        [price] => 4.095
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-18 02:15:00
        [price] => 4.01
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-18 04:45:00
        [price] => 4.105
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-18 06:30:00
        [price] => 4.029
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-18 08:45:00
        [price] => 4.218
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-18 09:30:00
        [price] => 4.161
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-18 09:45:00
        [price] => 4.244
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 4.09
        [kind] => low
        [label] => LL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-18 11:15:00
        [price] => 4.16
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-18 13:45:00
        [price] => 4.171
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-18 14:45:00
        [price] => 4.1
        [kind] => low
        [label] => HL
    )
    
  162. bos_level_long : 4.16
  163. bos_level_short : 0
  164. strategy_details
  165. levels_hl_price:
    4.09
  166. levels_hl_timestamp: 2026-05-18 11:00:00
  167. levels_hh_price:
    4.244
  168. levels_lh_price:
    4.244
  169. levels_lh_timestamp: 2026-05-18 09:00:00
  170. levels_ll_price:
    4.09
  171. strategy_details
  172. demand_zone_top:
    4.14
  173. demand_zone_bottom:
    4.01
  174. demand_zone_mid:
    4.075
  175. demand_zone_freshness: tested
  176. demand_zone_strength:
    0.7499
  177. strategy_details
  178. supply_zone_top:
    4.318
  179. supply_zone_bottom:
    4.231
  180. supply_zone_mid:
    4.2745
  181. supply_zone_freshness: tested
  182. supply_zone_strength:
    0.9247
  183. ¸
  184. regimes
  185. 1H : bear_high
  186. 15m : bull_high
  187. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 84%

Trend

Trend Strength
-0.081
Persistence
0.500
High Δ ATR
1.242
Low Δ ATR
1.183

Current Swing

Amp ATR
2.237
Speed
1.119
Efficiency
0.631

Structure

Retracement
0.658
Extension
1.027
Compression
0.729
Entropy
1.000
Breakout Str.
-2.882
Dist High ATR
-0.577
Dist Low ATR
1.700
34 pivots · 33 swings · Last pivot: ↓ 4.0900 @ bar 145

Trend Analyzer 1H

1H ↔ neutral neutral_range_balanced
Confidence 50%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum balanced
volatility compression
risk discount
htf unknown
Scores
Direction Score 0.568
Strength Score 0.616
Quality Score 0.387
Cleanliness Score 0.267
Structural Quality 0.484
Pullback Score 0.658
Exhaustion Score 0.267
Continuation Score 0.522
Structure Score 0.591
Volatility Expansion 0.496
Momentum Type Score 0.613
Risk Score 0.346
Features
Ema20 Slope
-0.008
Ema50 Slope
-0.040
Ema Alignment Score
0.667
Price Vs Ema20
0.814
Price Vs Ema50
0.004
Recent Hh Hl Score
0.450
Recent Lh Ll Score
0.550
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.466
Trend Efficiency
0.631
Impulse Strength
3.490
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.658
Pullback Depth Atr
2.297
Extension From Mean
0.004
Impulse Decay Score
0.487
Opposing Wick Pressure
0.290
Volatility Percentile
0.760
Volatility Delta
-0.240
Body Ratio
0.519
Closes Position Ratio
0.560
Slope Consistency
0.243
Range Position
0.346
Distance To Recent High
-8.089
Distance To Recent Low
4.282
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

↑ bid ws_rolling 5 snapshots 7187ms Confidence avant OB : 79%86%

Order Book Imbalance

OBI Top 5 0.160
avg 0.175 ± 0.033
OBI Top 10 0.189

Microstructure

Mid Price
4.1955
Micro Price
4.1948
Spread
0.0715%

↑ Bid Wall (Support)

Price
4.1700
Size
32,394.79

↓ Ask Wall (Resistance)

Price
4.2200
Size
16,300.50

📌 Time Data

Start at Closed at Duration
18 May 2026
15:04:14
19 May 2026
17:55:00
1 day

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.205 4.0829 4.5103 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 4.205
  • Stop Loss: 4.0829
  • Take Profit: 4.5103

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.0829 - 4.205 = -0.1221

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.205 - 4.5103 = -0.3053

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.3053 / -0.1221 = 2.5004

📌 Position Size

Amount Margin Quantity Leverage
275.4249 100 65.4994 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 -0.1221

Taille de position = 8 / -0.1221 = -65.52

Taille de position USD = -65.52 x 4.205 = -275.51

Donc, tu peux acheter -65.52 avec un stoploss a 4.0829

Avec un position size USD de -275.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -65.52 x -0.1221 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -65.52 x -0.3053 = 20

Si Take Profit atteint, tu gagneras 20$

Résumé

  • Taille de position -65.52
  • Taille de position USD -275.51
  • Perte potentielle 8
  • Gain potentiel 20
  • Risk-Reward Ratio 2.5004

📌 Peformances

TP % Target TP $ Target
7.26 % 20 $
SL % Target SL $ Target
2.9 % 8 $
PNL PNL %
-8 $ -2.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.4245 % 117.94 % 34

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0090000000000003
            [max_drawdown] => 0.037
            [rr_ratio] => 0.24
            [high] => 4.21400000
            [low] => 4.16800000
            [mfe_pct] => 0.21
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 24
            [start_at] => 2026-05-18T15:04:14-04:00
            [end_at] => 2026-05-18T17:04:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.027
            [max_drawdown] => 0.07
            [rr_ratio] => 0.39
            [high] => 4.23200000
            [low] => 4.13500000
            [mfe_pct] => 0.64
            [mae_pct] => 1.66
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 84
            [start_at] => 2026-05-18T15:04:14-04:00
            [end_at] => 2026-05-18T22:04:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.21100000
            [high_after] => 4.23200000
            [low_before] => 4.09700000
            [low_after] => 4.16800000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#57 / n/a OUT
seuil : top 15 · score du 18/05/2026 14:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime