31 Jul 2026 at 14:45:10 hyperliquid

Short Trade on ENA (BosPullback)

With 4038.63 ENA at 0.081$ per unit. Take profit: 0.07603 (6.12 %) & Stop Loss: 0.08297 (2.44 %)

ENA SHORT BosPullback hyperliquid 31 Jul 2026 14:45 → 22:20 · 1 day

Position

Entry 0.08099$

Qty 4038.6295 ENA

Size 327.0765$ (margin 100$) (leverage 3)

Risk Setup

TP 0.07603 (+6.12%)

TP $ 20.03$

SL 0.08297 (-2.44%)

SL $ 8$

RR 2.51

Status loss PnL -2.44% / -8$ MAE -0.00% MFE +1.21% 0.5R

V3 Shadow Analysis

Filtres V3 : rank, confidence, régime combiné BTC + coin (−10 → +10, seuil ≥ 3), et stop loss ≥ 0.75%.

Quality Rank (id: 54780)
#27 / 46 OUT
seuil : top 15
score du 31/07/2026 14:00

Avg Rank 8h: 0.4379

Quality Score
0.513
score brut du coin
Quality Rank
#27 / 46 OUT
seuil : top 15
Signal Confidence
86 % OK
seuil : ≥ 40%
BTC Regime Score
+2
−4 → +4 (macro BTC)
Coin Regime Score
+5
−6 → +6 (1D/4H/1H coin)
Combined Regime Score
+7 OK
seuil : BTC + coin ≥ 3
Stop Loss Size
2.44 % OK
seuil : ≥ 0.75%
Décision V3
WOULD SKIP
rank + confidence + regime + SL size

V4 Shadow Analysis

Filtres V4 : rank, confidence, régime combiné BTC + coin, SL ≥ 0.75%, Supply & Demand multi-TF (1H/4H/1D), Move Maturity multi-TF.

Quality Rank
#27 / 46 OUT
seuil : top 15
Signal Confidence
86 % OK
seuil : ≥ 40%
Combined Regime Score
+7 OK
seuil : BTC + coin ≥ 3
Stop Loss Size
2.44 % OK
seuil : ≥ 0.75%
Supply & Demand — near Demand zone (SHORT: demand = adverse)
0/3 TF adverse seuil : < 2 TF
TF Near Demand Distance (ATR)
1h clear 3.06×ATR
4h clear 0.98×ATR
1d clear —
Move Maturity — move down late = adverse (SHORT)
0/3 TF adverse seuil : < 2 TF
TF Direction Maturity Adverse
1h ↑ up early OK
4h ↑ up early OK
1d ↓ down early OK
Décision V4
WOULD SKIP
rank + confidence + regime + SL + S&D + maturity

V5 Shadow Analysis

V5 ne s'applique pas à la stratégie BosPullback. Scope initial : momentum_pullback_v1, momentum_rotation_score, momentum_rotation_v2.

Context

Volume 24h (signal)
3.4M $
volume USDT au moment du signal
31/07 14:31
Coin Market Regime V2

Strategic (1D) : bear_high (+3)

30/07 20:00

Operational (4H) : bear_high (+2)

31/07 12:00

Tactical (1H) : range_high (0)

31/07 14:00

Score : +5 / ±6

BTC Correlation Coin Market Regime

1H_regime : range_high

15m_regime : range_medium

Quality Score

Score composite 0–1 combinant 5 composantes pondérées, calculé sur les bougies 1H
(+ 4H pour la force relative vs BTC).

Momentum (30 %) : retours multi-TF normalisés + pentes EMA 21/50/100.
Force Relative vs BTC (25 %) : surperformance du coin sur 1h/4h/1d/3d + beta 24h.
Volume (20 %) : volume relatif vs SMA20, z-score vs SMA50, tendance EMA5/50.
Qualité de Tendance (15 %) : ADX (force, bon > 25) + Chop Index (trend vs range, bon < 45).
Volatilité (10 %) : ATR% du prix — score optimal entre 0.3 % et 3 %, pénalisé au-delà de 6 %.
Le rank compare le coin à l'univers complet tracké au même instant.

1H
Calculé le 31/07/2026 14:00
Score brut
0.5126
Score SMA
0.5175
Rank
#27 / 46
Rank Norm SMA 8h
0.4379
Rank Norm SMA
0.5378
Calculé le
31/07/2026 14:00
Composante Poids Score Détails
Momentum 30% 0.5366 r1h: 0.268% · r4h: 0.869% · r1d: -0.47% · r3d: -2.99% · ema21_slope: 0.0227% · dist_ema21: 0.414%
Force Relative 25% 0.5369 rs_1h: -0.025% · rs_4h: 1.228% · rs_1d: 2.32% · rs_3d: -1.99% · beta_24h: 0.863
Volume 20% 0.1599 rvol_20: 0.32× · zscore_50: -0.712 · trend: -44.46%
Qualité Tendance 15% 0.5693 ADX: 26.6 (trend) · Chop: 57.0 (neutral)
Volatilité 10% 1.0000 ATR%: 1.366% (optimal 0.3–3 %)

📌 Performance

MAE / MFE Analysis

Strat: BosPullback (★ 4h) Initial Risk: -2.445% (0.0020)
Horizon MFE % MFE R MAE % MAE R MFE/MAE Candles
1h +1.034% 0.4R -0.000% 0.0R — 12
2h +1.034% 0.4R -0.000% 0.0R — 24
4h ★ +1.209% 0.5R -0.000% 0.0R — 48
8h +1.209% 0.5R -0.000% 0.0R — 96
12h +1.371% 0.6R -0.235% 0.1R 5.8× 144
24h +2.503% 1.0R -1.027% 0.4R 2.4× 288
⏱ MFE in 1439 min MAE in 889 min ✗ Adverse move came first

computed 2 months ago

Prediction

ML Trade Score: -100
ML Pullback Score: 0.2
Prediction Score: N/A

Contexte Multi-Timeframe (au signal)

ⓘ
TF Direction Phase Structure Strength Momentum Volatility Regime Tradability PAQ Move Demand Supply BTC Corr BTC Regime BTC OutPerf RS / BTC Évalué à
1d ↓ down range range moderate grind normal bear_high
62%
noisy_chop 38% early — near 0.2ATR 0.62 bear_high -6.38% +0.33 30/07 20:00
4h ↓ down range range moderate grind normal bear_high
60%
noisy_chop 41% early — — 0.63 bear_high_confirmed -1.68% -0.08 31/07 12:00
1h ↔ neutral range range moderate fading normal range_high
40%
noisy_chop 33% early — near 0.0ATR 0.60 bear_medium_confirmed -1.59% +0.30 31/07 14:00
15m ↔ neutral transition bearish_transition strong balanced normal bull_medium
57%
noisy_chop 42% late — near 0.0ATR — bear_low -1.11% +0.05 31/07 14:15
5m —

Move Maturity (au signal)

TF Direction Maturity Age (bars) Age since BOS Amplitude Amp. %ile Extension Ext. %ile
1d ↓ down early 4b — 1.972×ATR p0 -0.186×ATR p17
4h ↑ up early 11b — 2.247×ATR p18 +0.4×ATR p38
1h ↑ up early 3b — 1.919×ATR p20 +0.364×ATR p38
15m ↑ up late 12b — 4.498×ATR p86 +0.941×ATR p78

Maturity — late : Amp ≥ p80 ou Ext/EMA9 ≥ p85 · mid : Amp ≥ p50 ou Ext/EMA9 ≥ p60 · Amp. %ile : amplitude du move depuis le dernier pivot (en ATR) vs historique des swings · Ext. %ile : écart prix/EMA9 normalisé ATR14 vs historique

Signal

BosPullback - SELL

Indicators:

  1. long_trend: -1
  2. confidence: 0.86
  3. reason: bos_pullback_short|score=3|shallow|bars_since_bos=3|retests=1|break_atr=0.45|prog=0.40|zone=weak
  4. stop_price: 0.08296787
  5. tp_price: 0.07603482
  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 : 0.78
  12. trend_strength : 0.1099
  13. trend_persistence : 0.5
  14. high_delta_atr : -0.4777
  15. low_delta_atr : -0.6609
  16. current_swing_amp_atr : 2.8903
  17. current_swing_speed : 0.72257
  18. current_swing_efficiency : 0.4868
  19. retracement_ratio : 1.2799
  20. extension_ratio : 1.0646
  21. compression_score : 0.8967
  22. swing_entropy : 1
  23. breakout_strength : -1.146
  24. distance_to_last_high_atr : -1.2154
  25. distance_to_last_low_atr : 1.8069
  26. pivot_count : 33
  27. swing_count : 32
  28. market_structure_v2
  29. last_pivot_kind: low
  30. last_pivot_price:
    0.079596
  31. last_pivot_index:
    146
  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 : fading
  42. volatility_regime : normal
  43. htf_context : unknown
  44. risk_state : discount
  45. confidence : 0.456
  46. state : neutral_range_fading
  47. trend_analyzer_1h
  48. scores_direction_score:
    0.5688
  49. scores_strength_score:
    0.513
  50. scores_quality_score:
    0.3141
  51. scores_cleanliness_score:
    0.197
  52. scores_structural_quality:
    0.41
  53. scores_pullback_score:
    1
  54. scores_exhaustion_score:
    0.3082
  55. scores_continuation_score:
    0.51
  56. scores_structure_score:
    0.3542
  57. scores_volatility_expansion:
    0.5128
  58. scores_momentum_type_score:
    0.4494
  59. scores_risk_score:
    0.2827
  60. trend_analyzer_1h
  61. features_ema20_slope:
    -0.0181
  62. features_ema50_slope:
    -0.007
  63. features_ema_alignment_score:
    1
  64. features_price_vs_ema20:
    0.3343
  65. features_price_vs_ema50:
    0.3556
  66. features_recent_hh_hl_score:
    0.4
  67. features_recent_lh_ll_score:
    0.6
  68. features_last_bos_direction:
    -1
  69. features_bars_since_last_bos:
    3
  70. features_candle_overlap_ratio:
    1
  71. features_wick_ratio:
    0.6061
  72. features_trend_efficiency:
    0.4868
  73. features_impulse_strength:
    2.9727
  74. features_directional_candle_ratio:
    0.5
  75. features_pullback_depth_ratio:
    1.2799
  76. features_pullback_depth_atr:
    3.0782
  77. features_extension_from_mean:
    0.3556
  78. features_impulse_decay_score:
    0.4677
  79. features_opposing_wick_pressure:
    0.3602
  80. features_volatility_percentile:
    0.5
  81. features_volatility_delta:
    0.0192
  82. features_body_ratio:
    0.4018
  83. features_closes_position_ratio:
    0.4465
  84. features_slope_consistency:
    0
  85. features_range_position:
    0.2827
  86. features_distance_to_recent_high:
    -10.7626
  87. features_distance_to_recent_low:
    4.2424
  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 : 0.1753
  99. obi_top10 : 0.1053
  100. micro_price : 0.0809471
  101. spread_pct : 0.012355
  102. mid_price : 0.080945
  103. bid_wall_price : 0.0807
  104. bid_wall_size : 2788324.6
  105. bid_wall_dist_atr :
  106. ask_wall_price : 0.0816
  107. ask_wall_size : 3121115.4
  108. ask_wall_dist_atr :
  109. snapshots_count : 5
  110. obi_top5_mean : 0.0152
  111. obi_top5_std : 0.0934
  112. pressure_side : neutral
  113. collection_mode : ws_rolling
  114. collection_ms : 6887
  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] => 2026-07-27 02:00:00
        [price] => 0.091164
        [kind] => high
        [label] => LH
    )
    
  123. pivots_1h_1:
    Array
    (
        [time] => 2026-07-27 05:00:00
        [price] => 0.089102
        [kind] => low
        [label] => HL
    )
    
  124. pivots_1h_2:
    Array
    (
        [time] => 2026-07-27 07:00:00
        [price] => 0.091016
        [kind] => high
        [label] => LH
    )
    
  125. pivots_1h_3:
    Array
    (
        [time] => 2026-07-27 12:00:00
        [price] => 0.088802
        [kind] => low
        [label] => LL
    )
    
  126. pivots_1h_4:
    Array
    (
        [time] => 2026-07-27 13:00:00
        [price] => 0.09319
        [kind] => high
        [label] => HH
    )
    
  127. pivots_1h_5:
    Array
    (
        [time] => 2026-07-28 01:00:00
        [price] => 0.081821
        [kind] => low
        [label] => LL
    )
    
  128. pivots_1h_6:
    Array
    (
        [time] => 2026-07-28 06:00:00
        [price] => 0.084221
        [kind] => high
        [label] => LH
    )
    
  129. pivots_1h_7:
    Array
    (
        [time] => 2026-07-28 13:00:00
        [price] => 0.082338
        [kind] => low
        [label] => HL
    )
    
  130. pivots_1h_8:
    Array
    (
        [time] => 2026-07-28 15:00:00
        [price] => 0.086381
        [kind] => high
        [label] => HH
    )
    
  131. pivots_1h_9:
    Array
    (
        [time] => 2026-07-29 04:00:00
        [price] => 0.07925
        [kind] => low
        [label] => LL
    )
    
  132. pivots_1h_10:
    Array
    (
        [time] => 2026-07-29 06:00:00
        [price] => 0.082638
        [kind] => high
        [label] => LH
    )
    
  133. pivots_1h_11:
    Array
    (
        [time] => 2026-07-29 21:00:00
        [price] => 0.076959
        [kind] => low
        [label] => LL
    )
    
  134. pivots_1h_12:
    Array
    (
        [time] => 2026-07-30 01:00:00
        [price] => 0.079168
        [kind] => high
        [label] => LH
    )
    
  135. pivots_1h_13:
    Array
    (
        [time] => 2026-07-30 05:00:00
        [price] => 0.07713
        [kind] => low
        [label] => HL
    )
    
  136. pivots_1h_14:
    Array
    (
        [time] => 2026-07-30 14:00:00
        [price] => 0.082899
        [kind] => high
        [label] => HH
    )
    
  137. pivots_1h_15:
    Array
    (
        [time] => 2026-07-30 16:00:00
        [price] => 0.08065
        [kind] => low
        [label] => HL
    )
    
  138. pivots_1h_16:
    Array
    (
        [time] => 2026-07-30 20:00:00
        [price] => 0.083377
        [kind] => high
        [label] => HH
    )
    
  139. pivots_1h_17:
    Array
    (
        [time] => 2026-07-31 02:00:00
        [price] => 0.08031
        [kind] => low
        [label] => LL
    )
    
  140. pivots_1h_18:
    Array
    (
        [time] => 2026-07-31 11:00:00
        [price] => 0.082861
        [kind] => high
        [label] => LH
    )
    
  141. pivots_1h_19:
    Array
    (
        [time] => 2026-07-31 15:00:00
        [price] => 0.079596
        [kind] => low
        [label] => LL
    )
    
  142. strategy_details
  143. pivots_15m_0:
    Array
    (
        [time] => 2026-07-30 20:00:00
        [price] => 0.083377
        [kind] => high
        [label] => 
    )
    
  144. pivots_15m_1:
    Array
    (
        [time] => 2026-07-30 23:00:00
        [price] => 0.08111
        [kind] => low
        [label] => LL
    )
    
  145. pivots_15m_2:
    Array
    (
        [time] => 2026-07-30 23:30:00
        [price] => 0.081855
        [kind] => high
        [label] => LH
    )
    
  146. pivots_15m_3:
    Array
    (
        [time] => 2026-07-31 00:15:00
        [price] => 0.080692
        [kind] => low
        [label] => LL
    )
    
  147. pivots_15m_4:
    Array
    (
        [time] => 2026-07-31 01:15:00
        [price] => 0.081817
        [kind] => high
        [label] => LH
    )
    
  148. pivots_15m_5:
    Array
    (
        [time] => 2026-07-31 02:30:00
        [price] => 0.08031
        [kind] => low
        [label] => LL
    )
    
  149. pivots_15m_6:
    Array
    (
        [time] => 2026-07-31 03:45:00
        [price] => 0.081635
        [kind] => high
        [label] => LH
    )
    
  150. pivots_15m_7:
    Array
    (
        [time] => 2026-07-31 05:45:00
        [price] => 0.080752
        [kind] => low
        [label] => HL
    )
    
  151. pivots_15m_8:
    Array
    (
        [time] => 2026-07-31 06:30:00
        [price] => 0.081548
        [kind] => high
        [label] => LH
    )
    
  152. pivots_15m_9:
    Array
    (
        [time] => 2026-07-31 07:00:00
        [price] => 0.08053
        [kind] => low
        [label] => LL
    )
    
  153. pivots_15m_10:
    Array
    (
        [time] => 2026-07-31 08:15:00
        [price] => 0.082345
        [kind] => high
        [label] => HH
    )
    
  154. pivots_15m_11:
    Array
    (
        [time] => 2026-07-31 09:15:00
        [price] => 0.081243
        [kind] => low
        [label] => HL
    )
    
  155. pivots_15m_12:
    Array
    (
        [time] => 2026-07-31 09:45:00
        [price] => 0.082005
        [kind] => high
        [label] => LH
    )
    
  156. pivots_15m_13:
    Array
    (
        [time] => 2026-07-31 11:00:00
        [price] => 0.082861
        [kind] => high
        [label] => HH
    )
    
  157. pivots_15m_14:
    Array
    (
        [time] => 2026-07-31 12:00:00
        [price] => 0.081115
        [kind] => low
        [label] => HL
    )
    
  158. pivots_15m_15:
    Array
    (
        [time] => 2026-07-31 13:30:00
        [price] => 0.082252
        [kind] => high
        [label] => LH
    )
    
  159. pivots_15m_16:
    Array
    (
        [time] => 2026-07-31 14:00:00
        [price] => 0.08
        [kind] => low
        [label] => LL
    )
    
  160. pivots_15m_17:
    Array
    (
        [time] => 2026-07-31 14:30:00
        [price] => 0.081856
        [kind] => high
        [label] => LH
    )
    
  161. pivots_15m_18:
    Array
    (
        [time] => 2026-07-31 15:15:00
        [price] => 0.079596
        [kind] => low
        [label] => LL
    )
    
  162. pivots_15m_19:
    Array
    (
        [time] => 2026-07-31 18:00:00
        [price] => 0.0821
        [kind] => high
        [label] => HH
    )
    
  163. bos_level_long : 0
  164. bos_level_short : 0.08031
  165. strategy_details
  166. levels_hl_price:
    0.079596
  167. levels_hl_timestamp: 2026-07-31 15:00:00
  168. levels_hh_price:
    0.082861
  169. levels_lh_price:
    0.082861
  170. levels_lh_timestamp: 2026-07-31 11:00:00
  171. levels_ll_price:
    0.079596
  172. demand_zone :
  173. strategy_details
  174. supply_zone_top:
    0.083377
  175. supply_zone_bottom:
    0.081656
  176. supply_zone_mid:
    0.0825165
  177. supply_zone_freshness: weak
  178. supply_zone_strength:
    0.9084
  179. ¸
  180. regimes
  181. 1H : range_high
  182. 15m : range_medium
  183. ¸

Signal Details

Signaux confirmants (3)

# Heure Entry Δ
1 14:45 0.08098700 -0.004%
2 15:39 0.08038900 -0.742%
3 15:45 0.08037300 -0.762%

Market Structure

Market Structure Score: 0

Market Structure V2

1H ↔ range
Confidence 78%

Trend

Trend Strength
0.110
Persistence
0.500
High Δ ATR
-0.478
Low Δ ATR
-0.661

Current Swing

Amp ATR
2.890
Speed
0.723
Efficiency
0.487

Structure

Retracement
1.280
Extension
1.065
Compression
0.897
Entropy
1.000
Breakout Str.
-1.146
Dist High ATR
-1.215
Dist Low ATR
1.807
33 pivots · 32 swings · Last pivot: ↓ 0.0796 @ bar 146

Trend Analyzer 1H

1H ↔ neutral neutral_range_fading
Confidence 46%

Context

phase range
structure range
breakout none
quality volatile
strength moderate
exhaustion low
momentum fading
volatility normal
risk discount
htf unknown
Scores
Direction Score 0.569
Strength Score 0.513
Quality Score 0.314
Cleanliness Score 0.197
Structural Quality 0.410
Pullback Score 1.000
Exhaustion Score 0.308
Continuation Score 0.510
Structure Score 0.354
Volatility Expansion 0.513
Momentum Type Score 0.449
Risk Score 0.283
Features
Ema20 Slope
-0.018
Ema50 Slope
-0.007
Ema Alignment Score
1.000
Price Vs Ema20
0.334
Price Vs Ema50
0.356
Recent Hh Hl Score
0.400
Recent Lh Ll Score
0.600
Last Bos Direction
-1.000
Bars Since Last Bos
3.000
Candle Overlap Ratio
1.000
Wick Ratio
0.606
Trend Efficiency
0.487
Impulse Strength
2.973
Directional Candle Ratio
0.500
Pullback Depth Ratio
1.280
Pullback Depth Atr
3.078
Extension From Mean
0.356
Impulse Decay Score
0.468
Opposing Wick Pressure
0.360
Volatility Percentile
0.500
Volatility Delta
0.019
Body Ratio
0.402
Closes Position Ratio
0.447
Slope Consistency
0.000
Range Position
0.283
Distance To Recent High
-10.763
Distance To Recent Low
4.242
Had Recent Range
1.000
Had Recent Compression
0.000
Post Break Hl Count
0.000

Orderbook Context

→ neutral ws_rolling 5 snapshots 6887ms Confidence avant OB : 86% → 86%

Order Book Imbalance

OBI Top 5 0.175
avg 0.015 ± 0.093
OBI Top 10 0.105

Microstructure

Mid Price
0.0809
Micro Price
0.0809
Spread
0.0124%

↑ Bid Wall (Support)

Price
0.0807
Size
2,788,324.60

↓ Ask Wall (Resistance)

Price
0.0816
Size
3,121,115.40

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08099 0.08297 0.07603 2.51 0.192
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 0.08099
  • Stop Loss: 0.08297
  • Take Profit: 0.07603

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08297 - 0.08099 = 0.00198

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08099 - 0.07603 = 0.00496

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00496 / 0.00198 = 2.5051

📌 Position Size

Amount Margin Quantity Leverage
327.0765 100 4038.6295 3.00
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 0.00198

Taille de position = 8 / 0.00198 = 4040.4

Taille de position USD = 4040.4 x 0.08099 = 327.23

Donc, tu peux acheter 4040.4 avec un stoploss a 0.08297

Avec un position size USD de 327.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4040.4 x 0.00198 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4040.4 x 0.00496 = 20.04

Si Take Profit atteint, tu gagneras 20.04$

Résumé

  • Taille de position 4040.4
  • Taille de position USD 327.23
  • Perte potentielle 8
  • Gain potentiel 20.04
  • Risk-Reward Ratio 2.5051

📌 Peformances

TP % Target TP $ Target
6.12 % 20.03 $
SL % Target SL $ Target
2.44 % 8 $
PNL PNL %
-8 $ -2.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.7263 % 111.52 % 47
Entry Stop Loss Take Profit RR Current Price
0.08099 0.08297 0.07603 2.51 0.192
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 0.08099
  • Stop Loss: 0.08297
  • Take Profit: 0.07603

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08297 - 0.08099 = 0.00198

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08099 - 0.07603 = 0.00496

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00496 / 0.00198 = 2.5051

📌 ML Extra Data

Extra TP Data

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Extra SL data

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MAE / MFE Analysis

Strat: BosPullback (★ 4h) Initial Risk: -2.445% (0.0020)
Horizon MFE % MFE R MAE % MAE R MFE/MAE Candles
1h +1.034% 0.4R -0.000% 0.0R — 12
2h +1.034% 0.4R -0.000% 0.0R — 24
4h ★ +1.209% 0.5R -0.000% 0.0R — 48
8h +1.209% 0.5R -0.000% 0.0R — 96
12h +1.371% 0.6R -0.235% 0.1R 5.8× 144
24h +2.503% 1.0R -1.027% 0.4R 2.4× 288
⏱ MFE in 1439 min MAE in 889 min ✗ Adverse move came first

computed 2 months ago

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