20 May 2026 at 07:28:20

Long Trade on ONDO (BosPullback)

With 636.34 ONDO at 0.384$ per unit. Take profit: 0.4154 (8.18 %) & Stop Loss: 0.3714 (3.28 %)

Long BosPullback on ONDO (20 May 2026 at 07:28:20 to 05:05:00 - 21 hours )

With 636.3448 ONDO at 0.384$ per unit.

Position size of 244.3564 $
Take profit at 0.4154 (8.18 %) and Stop Loss at 0.3714 (3.28 %)

That's a 2.49 RR Trade
Duration: 21 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 7.39
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 : range_medium

rules_regime_5m : range_low

Score : 0

ml_regime : range_low

rules_regime : range_low

rules_regime_5m : range_low

tf_aligned : 1

20/05 07:07

BTC Correlation Coin Market Regime

1H_regime : bull_high

15m_regime : bull_high

Contexte Multi-Timeframe (au signal)

TF Direction Phase Structure Strength Momentum Volatility Regime Tradability Évalué à
4h ↔ neutral range range strong balanced volatile_reversal bull_high
69%
20/05 00:00
1h ↑ up range range moderate grind compression bull_high
76%
20/05 06:00
15m ↑ up range range strong explosive compression range_high
47%
20/05 06:15
5m ↓ down transition bearish_transition strong explosive compression range_medium
50%
20/05 06:15

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.79
  3. reason: bos_pullback_long|score=2|shallow|bars_since_bos=6|retests=1|break_atr=0.44|prog=0.69|zone=tested
  4. stop_price: 0.3714282
  5. tp_price: 0.41542949
  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 : 0.902
  12. trend_strength : -0.049
  13. trend_persistence : 0.5
  14. high_delta_atr : 1.0842
  15. low_delta_atr : 1.343
  16. current_swing_amp_atr : 1.8755
  17. current_swing_speed : 0.46888
  18. current_swing_efficiency : 0.3369
  19. retracement_ratio : 0.5902
  20. extension_ratio : 0.882
  21. compression_score : 0.8532
  22. swing_entropy : 1
  23. breakout_strength : -2.6736
  24. distance_to_last_high_atr : -0.6037
  25. distance_to_last_low_atr : 1.3307
  26. pivot_count : 26
  27. swing_count : 25
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.3722
  31. last_pivot_index:
    147
  32. ¸
  33. trend_analyzer_1h
  34. direction : up
  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 : compression
  43. htf_context : unknown
  44. risk_state : premium
  45. confidence : 0.537
  46. state : up_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7071
  49. scores_strength_score:
    0.4717
  50. scores_quality_score:
    0.3969
  51. scores_cleanliness_score:
    0.2169
  52. scores_structural_quality:
    0.5442
  53. scores_pullback_score:
    0.5902
  54. scores_exhaustion_score:
    0.4342
  55. scores_continuation_score:
    0.7526
  56. scores_structure_score:
    0.6764
  57. scores_volatility_expansion:
    0.297
  58. scores_momentum_type_score:
    0.5172
  59. scores_risk_score:
    0.7519
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.0632
  62. features_ema50_slope:
    0.0502
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    1.0675
  65. features_price_vs_ema50:
    1.7407
  66. features_recent_hh_hl_score:
    0.65
  67. features_recent_lh_ll_score:
    0.35
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    6
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5661
  72. features_trend_efficiency:
    0.3369
  73. features_impulse_strength:
    3.1895
  74. features_directional_candle_ratio:
    0.55
  75. features_pullback_depth_ratio:
    0.5902
  76. features_pullback_depth_atr:
    1.8824
  77. features_extension_from_mean:
    1.7407
  78. features_impulse_decay_score:
    0.559
  79. features_opposing_wick_pressure:
    0.233
  80. features_volatility_percentile:
    0.34
  81. features_volatility_delta:
    -0.1605
  82. features_body_ratio:
    0.4124
  83. features_closes_position_ratio:
    0.478
  84. features_slope_consistency:
    0.7194
  85. features_range_position:
    0.7519
  86. features_distance_to_recent_high:
    -2.1068
  87. features_distance_to_recent_low:
    6.3841
  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 : 0.0442
  99. obi_top10 : -0.0195
  100. micro_price : 0.38328025
  101. spread_pct : 0.026096
  102. mid_price : 0.38325
  103. bid_wall_price : 0.382
  104. bid_wall_size : 948147.1
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.386
  107. ask_wall_size : 876631.8
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0412
  111. obi_top5_std : 0.0046
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6956
  115. aggregation_tick : 0.001
  116. error :
  117. ¸
  118. strategy_details
  119. strategy : bos_pullback
  120. ms_state_1h : range
  121. strategy_details
  122. pivots_1h_0:
    Array
    (
        [time] => 2026-05-17 03:00:00
        [price] => 0.3606
        [kind] => high
        [label] => HH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-17 05:00:00
        [price] => 0.354
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-17 06:00:00
        [price] => 0.3633
        [kind] => high
        [label] => HH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-17 13:00:00
        [price] => 0.3466
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-17 17:00:00
        [price] => 0.3563
        [kind] => high
        [label] => LH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-17 19:00:00
        [price] => 0.3336
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-17 20:00:00
        [price] => 0.3457
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-18 07:00:00
        [price] => 0.333
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-18 08:00:00
        [price] => 0.3497
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-18 11:00:00
        [price] => 0.3374
        [kind] => low
        [label] => HL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-18 13:00:00
        [price] => 0.347
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 0.3378
        [kind] => low
        [label] => HL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 0.393
        [kind] => high
        [label] => HH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-18 22:00:00
        [price] => 0.3774
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-18 23:00:00
        [price] => 0.3974
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-19 11:00:00
        [price] => 0.3586
        [kind] => low
        [label] => LL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 0.3791
        [kind] => high
        [label] => LH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-19 17:00:00
        [price] => 0.3613
        [kind] => low
        [label] => HL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-20 01:00:00
        [price] => 0.3879
        [kind] => high
        [label] => HH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-20 05:00:00
        [price] => 0.3722
        [kind] => low
        [label] => HL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-19 06:30:00
        [price] => 0.3775
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-19 08:15:00
        [price] => 0.3616
        [kind] => low
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-19 09:45:00
        [price] => 0.3721
        [kind] => high
        [label] => 
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-19 11:00:00
        [price] => 0.3586
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-19 13:15:00
        [price] => 0.3791
        [kind] => high
        [label] => HH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-19 17:00:00
        [price] => 0.3613
        [kind] => low
        [label] => HL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-19 17:45:00
        [price] => 0.3677
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-19 18:30:00
        [price] => 0.3616
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-19 19:45:00
        [price] => 0.3701
        [kind] => high
        [label] => HH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-19 20:15:00
        [price] => 0.3629
        [kind] => low
        [label] => HL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-19 20:45:00
        [price] => 0.3708
        [kind] => high
        [label] => LH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-19 21:15:00
        [price] => 0.363
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-19 22:15:00
        [price] => 0.3786
        [kind] => high
        [label] => HH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-19 22:45:00
        [price] => 0.3679
        [kind] => low
        [label] => HL
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-20 01:45:00
        [price] => 0.3879
        [kind] => high
        [label] => HH
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-20 04:15:00
        [price] => 0.3741
        [kind] => low
        [label] => HL
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-20 04:30:00
        [price] => 0.3845
        [kind] => high
        [label] => LH
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-20 05:45:00
        [price] => 0.3722
        [kind] => low
        [label] => LL
    )
    
  161. bos_level_long : 0.3791
  162. bos_level_short : 0
  163. strategy_details
  164. levels_hl_price:
    0.3722
  165. levels_hl_timestamp: 2026-05-20 05:00:00
  166. levels_hh_price:
    0.3879
  167. levels_lh_price:
    0.3879
  168. levels_lh_timestamp: 2026-05-20 01:00:00
  169. levels_ll_price:
    0.3722
  170. strategy_details
  171. demand_zone_top:
    0.3727
  172. demand_zone_bottom:
    0.3613
  173. demand_zone_mid:
    0.367
  174. demand_zone_freshness: tested
  175. demand_zone_strength:
    0.8117
  176. strategy_details
  177. supply_zone_top:
    0.3974
  178. supply_zone_bottom:
    0.377
  179. supply_zone_mid:
    0.3872
  180. supply_zone_freshness: weak
  181. supply_zone_strength:
    0.6628
  182. ¸
  183. regimes
  184. 1H : bull_high
  185. 15m : bull_high
  186. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 90%

Trend

Trend Strength
-0.049
Persistence
0.500
High Δ ATR
1.084
Low Δ ATR
1.343

Current Swing

Amp ATR
1.876
Speed
0.469
Efficiency
0.337

Structure

Retracement
0.590
Extension
0.882
Compression
0.853
Entropy
1.000
Breakout Str.
-2.674
Dist High ATR
-0.604
Dist Low ATR
1.331
26 pivots · 25 swings · Last pivot: ↓ 0.3722 @ bar 147

Trend Analyzer 1H

1H ↑ up up_range_grind
Confidence 54%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion medium
momentum grind
volatility compression
risk premium
htf unknown
Scores
Direction Score 0.707
Strength Score 0.472
Quality Score 0.397
Cleanliness Score 0.217
Structural Quality 0.544
Pullback Score 0.590
Exhaustion Score 0.434
Continuation Score 0.753
Structure Score 0.676
Volatility Expansion 0.297
Momentum Type Score 0.517
Risk Score 0.752
Features
Ema20 Slope
0.063
Ema50 Slope
0.050
Ema Alignment Score
1.000
Price Vs Ema20
1.068
Price Vs Ema50
1.741
Recent Hh Hl Score
0.650
Recent Lh Ll Score
0.350
Last Bos Direction
1.000
Bars Since Last Bos
6.000
Candle Overlap Ratio
1.000
Wick Ratio
0.566
Trend Efficiency
0.337
Impulse Strength
3.190
Directional Candle Ratio
0.550
Pullback Depth Ratio
0.590
Pullback Depth Atr
1.882
Extension From Mean
1.741
Impulse Decay Score
0.559
Opposing Wick Pressure
0.233
Volatility Percentile
0.340
Volatility Delta
-0.161
Body Ratio
0.412
Closes Position Ratio
0.478
Slope Consistency
0.719
Range Position
0.752
Distance To Recent High
-2.107
Distance To Recent Low
6.384
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
1.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6956ms Confidence avant OB : 79%79%

Order Book Imbalance

OBI Top 5 0.044
avg 0.041 ± 0.005
OBI Top 10 -0.020

Microstructure

Mid Price
0.3833
Micro Price
0.3833
Spread
0.0261%

↑ Bid Wall (Support)

Price
0.3820
Size
948,147.10

↓ Ask Wall (Resistance)

Price
0.3860
Size
876,631.80

📌 Time Data

Start at Closed at Duration
20 May 2026
07:28:20
21 May 2026
05:05:00
21 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.384 0.3714 0.4154 2.49 0.33
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 0.384
  • Stop Loss: 0.3714
  • Take Profit: 0.4154

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3714 - 0.384 = -0.0126

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.384 - 0.4154 = -0.0314

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0314 / -0.0126 = 2.4921

📌 Position Size

Amount Margin Quantity Leverage
244.3564 100 636.3448 2.44
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 -0.0126

Taille de position = 8 / -0.0126 = -634.92

Taille de position USD = -634.92 x 0.384 = -243.81

Donc, tu peux acheter -634.92 avec un stoploss a 0.3714

Avec un position size USD de -243.81$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -634.92 x -0.0126 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -634.92 x -0.0314 = 19.94

Si Take Profit atteint, tu gagneras 19.94$

Résumé

  • Taille de position -634.92
  • Taille de position USD -243.81
  • Perte potentielle 8
  • Gain potentiel 19.94
  • Risk-Reward Ratio 2.4921

📌 Peformances

TP % Target TP $ Target
8.18 % 19.98 $
SL % Target SL $ Target
3.28 % 8.02 $
PNL PNL %
19.98 $ 8.18
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6667 % 50.79 % 14

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0101
            [max_drawdown] => 0.0026
            [rr_ratio] => 3.88
            [high] => 0.39410000
            [low] => 0.38140000
            [mfe_pct] => 2.63
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 3.88
            [candles_analyzed] => 24
            [start_at] => 2026-05-20T07:28:20-04:00
            [end_at] => 2026-05-20T09:28:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0244
            [max_drawdown] => 0.0064
            [rr_ratio] => 3.81
            [high] => 0.40840000
            [low] => 0.37760000
            [mfe_pct] => 6.35
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 3.81
            [candles_analyzed] => 84
            [start_at] => 2026-05-20T07:28:20-04:00
            [end_at] => 2026-05-20T14:28:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.38450000
            [high_after] => 0.40840000
            [low_before] => 0.37220000
            [low_after] => 0.37760000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#18 / n/a OUT
seuil : top 15 · score du 20/05/2026 07:00
Signal Confidence
79 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime