21 May 2026 at 15:37:18

Long Trade on ONDO (BosPullback)

With 360.03 ONDO at 0.417$ per unit. Take profit: 0.4723 (13.34 %) & Stop Loss: 0.3945 (5.33 %)

Long BosPullback on ONDO (21 May 2026 at 15:37:18 to 09:35:00 - 17 hours )

With 360.0344 ONDO at 0.4167$ per unit.

Position size of 150.0263 $
Take profit at 0.4723 (13.34 %) and Stop Loss at 0.3945 (5.33 %)

That's a 2.5 RR Trade
Duration: 17 hours

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 3.48
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_high

rules_regime : bull_high

rules_regime_4h : bear_medium

tf_aligned :

21/05 15:02

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 ↑ up range range strong explosive volatile_reversal bull_high
72%
21/05 12:00
1h ↑ up range range moderate grind expansion bull_high
77%
21/05 14:00
15m ↑ up transition bullish_transition moderate balanced normal bull_high
79%
21/05 15:15
5m ↔ neutral range range strong grind compression bull_high
70%
21/05 15:20

Signal

BosPullback - BUY

Indicators:

  1. long_trend: 1
  2. confidence: 0.86
  3. reason: bos_pullback_long|score=3|shallow|bars_since_bos=2|retests=1|break_atr=0.60|prog=0.66|zone=tested
  4. stop_price: 0.3944799
  5. tp_price: 0.47225025
  6. atr:
  7. score: 0.86
  8. confidence_pre_ob: 0.86
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 : 0.743
  12. trend_strength : 0.1283
  13. trend_persistence : 0.5
  14. high_delta_atr : 0.9293
  15. low_delta_atr : -0.169
  16. current_swing_amp_atr : 3.0006
  17. current_swing_speed : 0.5001
  18. current_swing_efficiency : 0.3961
  19. retracement_ratio : 1.4439
  20. extension_ratio : 1.5707
  21. compression_score : 1.3024
  22. swing_entropy : 1
  23. breakout_strength : -0.1126
  24. distance_to_last_high_atr : -1.042
  25. distance_to_last_low_atr : 1.9807
  26. pivot_count : 35
  27. swing_count : 34
  28. market_structure_v2
  29. last_pivot_kind: high
  30. last_pivot_price:
    0.4278
  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 : low
  41. momentum_type : grind
  42. volatility_regime : expansion
  43. htf_context : unknown
  44. risk_state : approaching_resistance
  45. confidence : 0.544
  46. state : up_range_grind
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.7816
  49. scores_strength_score:
    0.4733
  50. scores_quality_score:
    0.419
  51. scores_cleanliness_score:
    0.2416
  52. scores_structural_quality:
    0.5642
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3259
  55. scores_continuation_score:
    0.5898
  56. scores_structure_score:
    0.7875
  57. scores_volatility_expansion:
    0.9025
  58. scores_momentum_type_score:
    0.588
  59. scores_risk_score:
    0.8829
  60. trend_analyzer_1h
  61. features_ema20_slope:
    0.1156
  62. features_ema50_slope:
    0.0853
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.9031
  65. features_price_vs_ema50:
    1.9524
  66. features_recent_hh_hl_score:
    0.85
  67. features_recent_lh_ll_score:
    0.15
  68. features_last_bos_direction:
    1
  69. features_bars_since_last_bos:
    2
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.5168
  72. features_trend_efficiency:
    0.3961
  73. features_impulse_strength:
    3.0006
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.4439
  76. features_pullback_depth_atr:
    3.1619
  77. features_extension_from_mean:
    1.9524
  78. features_impulse_decay_score:
    0.2146
  79. features_opposing_wick_pressure:
    0.2771
  80. features_volatility_percentile:
    0.88
  81. features_volatility_delta:
    0.2618
  82. features_body_ratio:
    0.5282
  83. features_closes_position_ratio:
    0.4832
  84. features_slope_consistency:
    0.7233
  85. features_range_position:
    0.8829
  86. features_distance_to_recent_high:
    -1.0062
  87. features_distance_to_recent_low:
    7.5874
  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 : -0.0704
  99. obi_top10 : 0.0133
  100. micro_price : 0.41779588
  101. spread_pct : 0.023941
  102. mid_price : 0.41775
  103. bid_wall_price : 0.413
  104. bid_wall_size : 688261.3
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.42
  107. ask_wall_size : 694345.04
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : -0.0773
  111. obi_top5_std : 0.0134
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 7031
  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] => 2026-05-18 11:00:00
        [price] => 0.3374
        [kind] => low
        [label] => HL
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-05-18 13:00:00
        [price] => 0.347
        [kind] => high
        [label] => LH
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-05-18 14:00:00
        [price] => 0.3378
        [kind] => low
        [label] => HL
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-05-18 20:00:00
        [price] => 0.393
        [kind] => high
        [label] => HH
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-05-18 22:00:00
        [price] => 0.3774
        [kind] => low
        [label] => HL
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-05-18 23:00:00
        [price] => 0.3974
        [kind] => high
        [label] => HH
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-05-19 11:00:00
        [price] => 0.3586
        [kind] => low
        [label] => LL
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-05-19 13:00:00
        [price] => 0.3791
        [kind] => high
        [label] => LH
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-05-19 17:00:00
        [price] => 0.3613
        [kind] => low
        [label] => HL
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-05-20 01:00:00
        [price] => 0.3879
        [kind] => high
        [label] => HH
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-05-20 05:00:00
        [price] => 0.3722
        [kind] => low
        [label] => HL
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-05-20 08:00:00
        [price] => 0.3941
        [kind] => high
        [label] => HH
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-05-20 10:00:00
        [price] => 0.3776
        [kind] => low
        [label] => HL
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-05-20 12:00:00
        [price] => 0.4084
        [kind] => high
        [label] => HH
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-05-20 15:00:00
        [price] => 0.3932
        [kind] => low
        [label] => HL
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-05-20 23:00:00
        [price] => 0.4139
        [kind] => high
        [label] => HH
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-05-21 02:00:00
        [price] => 0.3974
        [kind] => low
        [label] => HL
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-05-21 05:00:00
        [price] => 0.4179
        [kind] => high
        [label] => HH
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-05-21 07:00:00
        [price] => 0.3956
        [kind] => low
        [label] => HL
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-05-21 13:00:00
        [price] => 0.4278
        [kind] => high
        [label] => HH
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-05-20 16:30:00
        [price] => 0.3934
        [kind] => low
        [label] => HL
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-05-20 17:30:00
        [price] => 0.4062
        [kind] => high
        [label] => 
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-05-20 18:15:00
        [price] => 0.3965
        [kind] => low
        [label] => HL
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-05-20 18:30:00
        [price] => 0.4047
        [kind] => high
        [label] => LH
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-05-20 21:00:00
        [price] => 0.3959
        [kind] => low
        [label] => HL
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-05-20 22:00:00
        [price] => 0.4134
        [kind] => high
        [label] => HH
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-05-20 22:30:00
        [price] => 0.4007
        [kind] => low
        [label] => HL
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-05-20 23:30:00
        [price] => 0.4139
        [kind] => high
        [label] => LH
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-05-21 01:30:00
        [price] => 0.398
        [kind] => low
        [label] => LL
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-05-21 02:30:00
        [price] => 0.4079
        [kind] => high
        [label] => LH
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-05-21 02:45:00
        [price] => 0.3974
        [kind] => low
        [label] => HL
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-05-21 03:30:00
        [price] => 0.4102
        [kind] => high
        [label] => HH
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-05-21 04:30:00
        [price] => 0.401
        [kind] => low
        [label] => HL
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-05-21 05:00:00
        [price] => 0.4179
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-05-21 07:00:00
        [price] => 0.3956
        [kind] => low
        [label] => LL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-05-21 08:00:00
        [price] => 0.4095
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-05-21 10:45:00
        [price] => 0.3961
        [kind] => low
        [label] => HL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-05-21 11:45:00
        [price] => 0.4171
        [kind] => high
        [label] => HH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-05-21 12:15:00
        [price] => 0.4062
        [kind] => low
        [label] => HL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-05-21 13:15:00
        [price] => 0.4278
        [kind] => high
        [label] => HH
    )
    
  163. bos_level_long : 0.4179
  164. bos_level_short : 0
  165. strategy_details
  166. levels_hl_price:
    0.3956
  167. levels_hl_timestamp: 2026-05-21 07:00:00
  168. levels_hh_price:
    0.4278
  169. levels_lh_price:
    0.4278
  170. levels_lh_timestamp: 2026-05-21 13:00:00
  171. levels_ll_price:
    0.3956
  172. strategy_details
  173. demand_zone_top:
    0.4075
  174. demand_zone_bottom:
    0.3956
  175. demand_zone_mid:
    0.40155
  176. demand_zone_freshness: tested
  177. demand_zone_strength:
    0.8546
  178. supply_zone :
  179. ¸
  180. regimes
  181. 1H : bull_high
  182. 15m : bull_high
  183. ¸

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 74%

Trend

Trend Strength
0.128
Persistence
0.500
High Δ ATR
0.929
Low Δ ATR
-0.169

Current Swing

Amp ATR
3.001
Speed
0.500
Efficiency
0.396

Structure

Retracement
1.444
Extension
1.571
Compression
1.302
Entropy
1.000
Breakout Str.
-0.113
Dist High ATR
-1.042
Dist Low ATR
1.981
35 pivots · 34 swings · Last pivot: ↑ 0.4278 @ bar 147

Trend Analyzer 1H

1H ↑ up up_range_grind
Confidence 54%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum grind
volatility expansion
risk approaching_resistance
htf unknown
Scores
Direction Score 0.782
Strength Score 0.473
Quality Score 0.419
Cleanliness Score 0.242
Structural Quality 0.564
Pullback Score 1.000
Exhaustion Score 0.326
Continuation Score 0.590
Structure Score 0.788
Volatility Expansion 0.903
Momentum Type Score 0.588
Risk Score 0.883
Features
Ema20 Slope
0.116
Ema50 Slope
0.085
Ema Alignment Score
1.000
Price Vs Ema20
0.903
Price Vs Ema50
1.952
Recent Hh Hl Score
0.850
Recent Lh Ll Score
0.150
Last Bos Direction
1.000
Bars Since Last Bos
2.000
Candle Overlap Ratio
1.000
Wick Ratio
0.517
Trend Efficiency
0.396
Impulse Strength
3.001
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.444
Pullback Depth Atr
3.162
Extension From Mean
1.952
Impulse Decay Score
0.215
Opposing Wick Pressure
0.277
Volatility Percentile
0.880
Volatility Delta
0.262
Body Ratio
0.528
Closes Position Ratio
0.483
Slope Consistency
0.723
Range Position
0.883
Distance To Recent High
-1.006
Distance To Recent Low
7.587
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 7031ms Confidence avant OB : 86%86%

Order Book Imbalance

OBI Top 5 -0.070
avg -0.077 ± 0.013
OBI Top 10 0.013

Microstructure

Mid Price
0.4178
Micro Price
0.4178
Spread
0.0239%

↑ Bid Wall (Support)

Price
0.4130
Size
688,261.30

↓ Ask Wall (Resistance)

Price
0.4200
Size
694,345.04

📌 Time Data

Start at Closed at Duration
21 May 2026
15:37:18
22 May 2026
09:35:00
17 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4167 0.3945 0.4723 2.5 0.3706
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 0.4167
  • Stop Loss: 0.3945
  • Take Profit: 0.4723

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3945 - 0.4167 = -0.0222

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4167 - 0.4723 = -0.0556

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0556 / -0.0222 = 2.5045

📌 Position Size

Amount Margin Quantity Leverage
150.0263 100 360.0344 1.50
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 -0.0222

Taille de position = 8 / -0.0222 = -360.36

Taille de position USD = -360.36 x 0.4167 = -150.16

Donc, tu peux acheter -360.36 avec un stoploss a 0.3945

Avec un position size USD de -150.16$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -360.36 x -0.0222 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -360.36 x -0.0556 = 20.04

Si Take Profit atteint, tu gagneras 20.04$

Résumé

  • Taille de position -360.36
  • Taille de position USD -150.16
  • Perte potentielle 8
  • Gain potentiel 20.04
  • Risk-Reward Ratio 2.5045

📌 Peformances

TP % Target TP $ Target
13.34 % 20.02 $
SL % Target SL $ Target
5.33 % 7.99 $
PNL PNL %
20.02 $ 13.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.9998 % 56.31 % 15

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0111
            [max_drawdown] => 0.0105
            [rr_ratio] => 1.06
            [high] => 0.42780000
            [low] => 0.40620000
            [mfe_pct] => 2.66
            [mae_pct] => 2.52
            [mfe_mae_ratio] => 1.06
            [candles_analyzed] => 24
            [start_at] => 2026-05-21T15:37:18-04:00
            [end_at] => 2026-05-21T17:37:18-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0111
            [max_drawdown] => 0.0105
            [rr_ratio] => 1.06
            [high] => 0.42780000
            [low] => 0.40620000
            [mfe_pct] => 2.66
            [mae_pct] => 2.52
            [mfe_mae_ratio] => 1.06
            [candles_analyzed] => 84
            [start_at] => 2026-05-21T15:37:18-04:00
            [end_at] => 2026-05-21T22:37:18-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.41290000
            [high_after] => 0.42780000
            [low_before] => 0.39610000
            [low_after] => 0.40620000
            [is_new_high] => 1
            [is_new_low] => 
        )

)

V2 Shadow Analysis

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

Quality Rank
#25 / n/a OUT
seuil : top 15 · score du 21/05/2026 15:00
Signal Confidence
86 % OK
seuil : ≥ 40%
Regime Score
0 BLOCKED
seuil : score ≥ 1
Décision V2
WOULD SKIP
rank + confidence + regime