Long Trade on PEOPLE 16 Jul 2025 at 19:30:04
Take profit at 0.02329 (1.39 %) and Stop Loss at 0.02276 (0.91 %)
Long Trade on PEOPLE 16 Jul 2025 at 19:30:04
Take profit at 0.02329 (1.39 %) and Stop Loss at 0.02276 (0.91 %)
Position size of 866.3998 $
Take profit at 0.02329 (1.39 %) and Stop Loss at 0.02276 (0.91 %)
That's a 1.52 RR Trade| Prediction 1 | Probability |
|---|---|
|
Strong Trade
|
0.57 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.42 |
| Prediction 3 | Probability |
|---|---|
| n/a |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.560447 |
Indicators:
119198
-0.00474181
118633
0.560447
118706
-0.000615141
118633
118359
0.00231208
118633
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 16 Jul 2025 19:30:04 |
16 Jul 2025 20:05:00 |
34 minutes |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.02297 | 0.02276 | 0.02329 | 1.52 | 0.00668 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.02276 - 0.02297 = -0.00021
Récompense (distance jusqu'au take profit):
E - TP = 0.02297 - 0.02329 = -0.00032
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.00032 / -0.00021 = 1.5238
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 866.3998 | 100 | 37718.754 | 8.66 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / -0.00021 = -38095.24
Taille de position USD = -38095.24 x 0.02297 = -875.05
Donc, tu peux acheter -38095.24 avec un stoploss a 0.02276
Avec un position size USD de -875.05$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -38095.24 x -0.00021 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -38095.24 x -0.00032 = 12.19
Si Take Profit atteint, tu gagneras 12.19$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 1.39 % | 12.07 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.91 % | 7.92 $ |
| PNL | PNL % |
|---|---|
| -7.92 $ | -0.91 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -1.0884 % | 119.05 % | 2 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.02329
[entry_price] => 0.02297
[stop_loss] => 0.022739
[rr_ratio] => 1.39
[sl_change_percentage] => 1.1
[closed_at] => 2025-07-16 20:05:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.02329
[entry_price] => 0.02297
[stop_loss] => 0.022718
[rr_ratio] => 1.27
[sl_change_percentage] => 1.2
[closed_at] => 2025-07-16 20:20:00
[result] => win
)
[1.3] => Array
(
[take_profit] => 0.02329
[entry_price] => 0.02297
[stop_loss] => 0.022697
[rr_ratio] => 1.17
[sl_change_percentage] => 1.3
[closed_at] => 2025-07-16 20:20:00
[result] => win
)
[1.5] => Array
(
[take_profit] => 0.02329
[entry_price] => 0.02297
[stop_loss] => 0.022655
[rr_ratio] => 1.02
[sl_change_percentage] => 1.5
[closed_at] => 2025-07-16 20:20:00
[result] => win
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.00053
[max_drawdown] => 0.00033
[rr_ratio] => 1.61
[high] => 0.02350000
[low] => 0.02264000
[mfe_pct] => 2.31
[mae_pct] => 1.44
[mfe_mae_ratio] => 1.61
[candles_analyzed] => 24
[start_at] => 2025-07-16T19:30:04-04:00
[end_at] => 2025-07-16T21:30:04-04:00
)
[long_term] => Array
(
[max_gain] => 0.00053
[max_drawdown] => 0.00083
[rr_ratio] => 0.64
[high] => 0.02350000
[low] => 0.02214000
[mfe_pct] => 2.31
[mae_pct] => 3.61
[mfe_mae_ratio] => 0.64
[candles_analyzed] => 72
[start_at] => 2025-07-16T19:30:04-04:00
[end_at] => 2025-07-17T01:30:04-04:00
)
[breakout] => Array
(
[high_before] => 0.02440000
[high_after] => 0.02350000
[low_before] => 0.02281000
[low_after] => 0.02214000
[is_new_high] =>
[is_new_low] =>
)
)